Applied sciences

Archive of Mechanical Engineering

Content

Archive of Mechanical Engineering | 2023 | vol. 70 | No 4

Download PDF Download RIS Download Bibtex

Abstract

The finite element method (FEM) using Ansys program (APDL) was used in this study to evaluate the idea of tuned vibration absorbers applied to a beam construction for the undamped system. The ideal location for the Dynamic Vibration Absorbers (DVAs) and their numbers to be installed on the fixed-fixed beam in order to lessen beam vibration was also investigated. The DVA was coupled to the fixed-fixed beam vibration node for three vibration modes. The natural frequency and frequency response of the beam were calculated in this study using modal and harmonic analysis, respectively. The vibrational characteristics of the F-F beam with and without DVAs were presented. The simulation results demonstrated that the vibration amplitude decreases in the presence of the DVAs and its reduction depends on the locations of the DVAs and its number. In addition, the attached DVAs affect the structural beam vibration. Depending on the modes of vibration, the vibrational peak is the optimal place to attach DVA.
Go to article

Bibliography

[1] C.Y. Wang and C.M. Wang. Structural Vibration: Exact Solutions for Strings, Membranes, Beam and Plate. CRC Press, 2014.
[2] S.S. Rao. Mechanical Vibrations, 4th ed. Pearson Prentice Hall, 2005.
[3] D.J. Inman. Engineering Vibrations, 3rd ed. Prentice Hall, 2008.
[4] C.L. Lee, Y.T. Chen, L.L. Chung, and Y.P. Wang. Optimal design theories and applications of tuned mass dampers. Engineering Structures, 28(1):43–53. 2006. doi: 10.1016/j.engstruct.2005.06.023.
[5] J.R. Sladek and R.E. Klingner. Effect of tuned-mass dampers on seismic response. Journal of Structural Engineering, 109(8):2004–2009, 1983. doi: 10.1061/(ASCE)0733-9445(1983)109:8(2004).
[6] K.T. Tse, K.C. Kwok, and Y. Tamura. Performance and cost evaluation of a smart tuned mass damper for suppressing wind-induced lateral-torsional motion of tall structures. Journal of Structural Engineering, 138(4):514–525, 2012. doi: 10.1061/(ASCE)ST.1943-541X.0000486.
[7] H. Shi, R. Luo, P. Wu, J. Zeng, and J. Guo. Application of DVA theory in vibration reduction of the car body with suspended equipment for high-speed EMU. Science China Technological Sciences, 57(7):1425–1438, 2014. doi: 10.1007/s11431-014-5558-5.
[8] M.H. Zainulabidin and N. Jaini. Transverse vibration of a beam structure attached with dynamic vibration absorbers: Experimental analysis. International Journal of Engineering \amp; Technology, 12(6):82–86, 2012.
[9] N.A.M. Jusoh. Finite Element Analysis of a Beam Structure Attached with Tuned Vibration Absorbers. Ph.D. Thesis, University Tun Hussein Onn Malaysia, 2015.
[10] M.M. Salleh and I. Zaman. Finite element modelling of fixed-fixed end plate attached with a vibration absorber. Applied Mechanics and Materials,773-774:194–198, 2015. doi: 10.4028/www.scientific.net/AMM.773-774.194.
[11] W.S. Ong and M.H. Zainulabidin. Vibration Characteristics of beam structure attached with vibration absorbers at its vibrational node and antinode by finite element analysis. Journal of Science and Engineering, 1(1):7–16, 2020. doi: 10.30650/jse.v1i1.519.
[12] M.H.B. Zainulabidin and N. Jaini. Vibration analysis of a beam structure attached with a dynamic vibration absorber. Applied Mechanics and Materials. 315:315–319, 2013. doi: 10.4028/www.scientific.net/AMM.315.315.
[13] S.A.M. Rozlan, I. Zaman, S.W. Chan, B. Manshoor, A. Khalid, and M.S.M. Sani. Study of a simply-supported beam with attached multiple vibration absorbers by using finite element analysis. Advanced Science Letters, 23(5):3951–3954, 2017. doi: 10.1166/asl.2017.8302.
[14] S.K. Sharma, R.C., Sharma, J. Lee, and H.L. Jang. Numerical and experimental analysis of {DVA} on the flexible-rigid rail vehicle car body resonant vibration. Sensors, 22(5):1922, 2022. doi: 10.3390/s22051922.
[15] C.L. Bacquet and M.I. Hussein. Dissipation engineering in metamaterials by localized structural dynamics. arXiv preprint arXiv:1809.04509, 2018.
[16] M.V. Bastawrous and M.I. Hussein. Theoretical band-gap bounds and coupling sensitivity for a waveguide with periodically attached resonating branches. Journal of Sound and Vibration, 514:116428, 2021. doi: 10.1016/j.jsv.2021.116428.
[17] L. Cveticanin and G. Mester. Theory of acoustic metamaterials and metamaterial beams: an overview. Acta Polytechnica Hungarica, 13(7):43–62, 2016.
[18] Y. Song, J. Wen, H. Tian, X. Lu, Z. Li, and L. Feng. Vibration and sound properties of metamaterial sandwich panels with periodically attached resonators: Simulation and experiment study. Journal of Sound and Vibration, 489:115644, 2020. doi: 10.1016/j.jsv.2020.115644.
[19] Y. Sun, J. Zhou, D. Gong, and Y. Ji. Study on multi-degree of freedom dynamic vibration absorber of the car body of high-speed trains. Mechanical Sciences, 13(1):239–256, 2021. doi: 10.5194/ms-13-239-2022.
[20] J. Song, P. Si, H. Hua, and Z. Li. A DVA-beam element for dynamic simulation of DVA-beam system: modelling, validation and application. Symmetry, 14(8):1608, 2022. doi: 10.3390/sym14081608.
[21] J.E. Akin. Finite Element Analysis Concepts Via SolidWorks, 1st ed. World Scientific Publishing Co., 2010.
[22] J. Fish and T. Belytschko. A First Course in Finite Elements. Wiley. 2007.
[23] J.P. Hartog, den. Mechanical Vibrations. McGraw-Hill, 1956.
[24] J.B. Hunt. Dynamic Vibration Absorbers, Mechanical Engineering Publications, London, 1979.
[25] B.G. Korenev and L.M. Reznikov. Dynamic Vibration Absorbers. Wiley, 1993.
[26] R.G. Jacquot. Optimal dynamic vibration absorbers for general beam systems. Journal of Sound and Vibration, 60(4):535–542, 1978. doi: 10.1016/S0022-460X(78)80090-X.
Go to article

Authors and Affiliations

Faris A. Jabbar
1 2
ORCID: ORCID
Putti Srinivasa Rao
1
ORCID: ORCID

  1. Department of Mechanical Engineering, Andhra University, Visakhapatnam, India
  2. Technical Institute of Al-Dewaniyah, Al-Furat Al-Awsat Technical University (ATU), Al-Dewaniyah, Iraq
Download PDF Download RIS Download Bibtex

Abstract

The heat transfer coefficient during the pool boiling on the outside of a horizontal tube can be predicted by correlations. Our choice was based on ten correlations known from the literature. The experimental data were recovered from the recent work, for different fluids used. An evaluation was made of agreement between each of the correlations and the experimental data. The results of the present study firstly showed a good reliability for the correlations of Labuntsov [10], Stephan and Abdeslam [11] with deviations of 20% and 27%, respectively. Also, the results revealed acceptable agreements for the correlations of Kruzhlin [6], Mc Nelly [7] and Touhami [15] with deviations of 26%, 29% and 29% respectively. The remaining correlations showed very high deviations from the experimental data. Finally, improvements have been made in the correlations of Shekriladze [12] and Mostinski [9], and a new correlation was proposed giving convincing results.
Go to article

Bibliography

[1] I.L. Pioro, W. Rohsenow, and S.S. Doerffer. Nucleate pool-boiling heat transfer. II: Assessment of prediction methods. International Journal of Heat and Mass Transfer, 47(23):5045–5057, 2004. doi: 10.1016/j.ijheatmasstransfer.2004.06.020.
[2] A. Sathyabhama and R.N. Hegde. Prediction of nucleate pool boiling heat transfer coefficient. Thermal Science, 14(2):353–364, 2010. doi: 10.2298/TSCI1002353S.
[3] T. Baki, A. Aris, and M. Tebbal. Investigations on pool boiling of refrigerant R141b outside a horizontal tube, Archive of Mechanical Engineering, 68(1):77–92, 2021. doi: 10.24425/ame.2021.137042.
[4] T. Baki. Survey on the nucleate pool boiling of hydrogen and its limits. Journal of Mechanical and Energy Engineering, 4(2):157–166, 2020. doi: 10.30464/jmee.2020.4.2.157.
[5] T. Baki. Pool boiling of ammonia, assessment of correlations. International Journal of Air-Conditioning and Refrigeration, 29(02):2150012, 2021. doi: 10.1142/S2010132521500127.
[6] G.N. Kruzhilin. Free-convection transfer of heat from a horizontal plate and boiling liquid. Doklady AN SSSR (Reports of the USSR Academy of Sciences), 58(8):1657–1660, 1947.
[7] M.J. Mc Nelly. A correlation of rates of heat transfer to nucleate boiling of liquids. Journal of Imperial College Chemical Engineering Socoiety, 7:187–34, 1953.
[8] H.K. Forster, and N. Zuber. Dynamics of vapor bubbles and boiling heat transfer. AIChE Journal, 1(4):531–535, 1955. doi: 10.1002/aic.690010425.
[9] I.L. Mostinski. Application of the rule of corresponding states for calculation of heat transfer and critical heat flux. Teploenergetika, 4(4):66–71, 1963.
[10] D.A. Labuntsov. Heat transfer problems with nucleate boiling of liquids. Thermal Engineering, 19(9):21–28, 1972.
[11] K. Stephan, and M. Abdelsalam. Heat-transfer correlations for natural convection boiling. International Journal of Heat and Mass Transfer, 23(1):73–87, 1980. doi: 10.1016/0017-9310(80)90140-4.
[12] I.G. Shekriladze. Boiling heat transfer: mechanisms, models, correlations and the lines of further research. The Open Mechanical Engineering Journal, 2:104–127, 2008. doi: 10.2174/1874155X00802010104.
[13] V.V. Yagov. Nucleate boiling heat transfer: Possibilities and limitations of theoretical analysis. Heat and Mass Transfer, 45(7):881–892, 2009. doi: 10.1007/s00231-007-0253-8.
[14] S. Fazel and S. Roumana. Pool boiling heat transfer to pure liquids. In WSEAS Conf, 2010.
[15] T. Baki, A. Aris, and M. Tebbal. Proposal for a correlation raising the impact of the external diameter of a horizontal tube during pool boiling. International Journal of Thermal Sciences, 84:293–299, 2014. doi: 10.1016/j.ijthermalsci.2014.05.023.
[16] M.G. Kang. Effect of surface roughness on pool boiling heat transfer. International Journal of Heat and Mass Transfer, 43(22):4073–4085, 2000. doi: 10.1016/S0017-9310(00)00043-0.
[17] M.G. Kang. Local pool boiling coefficients on a horizontal tubes. Journal of Mechanical Science and Technology, 19(3):860–869, 2005. doi: 10.1007/BF02916134.
[18] J.S. Mehta and S.G. Kandlikar. Pool boiling heat transfer enhancement over cylindrical tubes with water at atmospheric pressure, Part II: Experimental results and bubble dynamics for circumferential V-groove and axial rectangular open microchannels. International Journal of Heat and Mass Transfer, 64:1216–1225, 2013. doi: 10.1016/j.ijheatmasstransfer.2013.04.004.
[19] S.K. Das, N. Putra, and W. Roetzel. Pool boiling of nano-fluids on horizontal narrow tubes. International Journal of Multiphase Flow, 29(8):1237–1247, 2003. doi: 10.1016/S0301-9322 (03)00105-8.
[20] G. Prakash Narayan, K.B. Anoop, G. Sateesh, and S.K. Das. Effect of surface orientation on pool boiling heat transfer of nanoparticle suspensions. International Journal of Multiphase Flow, 34(2):145–160, 2008. doi: 10.1016/j.ijmultiphaseflow.2007.08.004.
[21] D. Gorenflo, F. Gremer, E. Danger, and A. Luke. Pool boiling heat transfer to binary mixtures with miscibility gap: Experimental results for a horizontal copper tube with 4.35~mm O.D. Experimetal Thermal Fluides Sciences, 25(5):243–254, 2001. doi: 10.1016/S0894-1777(01)00072-3.
[22] Z.H. Liu and Y.H. Qiu. Enhanced boiling heat transfer in restricted spaces of a compact tube bundle with enhanced tubes. Applied Thermal Engineering, 22(17):1931–1941, 2002. doi: 10.1016/S1359-4311(02)00111-4.
[23] Y.H. Qiu and Z.H. Liu. Boiling heat transfer of water on smooth tubes in a compact staggered tube bundle. Applied Thermal Engineering, 24(10):1431–1441, 2004. doi: 10.1016/j.applthermaleng.2003.11.021.
[24] K.G. Rajulu, R. Kumar, B. Mohanty, and H. K. Varma. Enhancement of nucleate pool boiling heat transfer coefficient by reentrant cavity surfaces. Heat and Mass Transfer, 41(2):127–132, 2004. doi: 10.1007/s00231-004-0526-4.
[25] A. Fazel, A. Safekordi, and M. Jamialahmadi. Pool boiling heat transfer in water/amines solutions. International Journal of Engineering, 21(2):113–130, 2008.
[26] S.M. Peyghambarzadeh, M. Jamialahmadi, S.A. Alavi Fazel, and S. Azizi. Experimental and theoretical study of pool boiling heat transfer to amine solutions. Brazilian Journal of Chemical Engineering, 26:26–33, 2009. doi: 10.1590/S0104-66322009000100004.
[27] S. Bhaumik, V.K. Agarwal, and S.C. Gupta. A generalized correlation of nucleate pool boiling of liquids. Indian Journal of Chemical Technology, 2004.
[28] W.C. Elrod, J.A. Clark, E.R. Lady, and H. Merte. Boiling heat transfer data at low heat flux. Journal of Heat Transfer, 87(C):235–243, 1967.
[29] Y. Chen, M. Groll, R. Mertz, and R. Kulenovic. Pool boiling heat transfer of propane, isobutane and their mixtures on enhanced tubes with reentrant channels. International Journal of Heat and Mass Transfer, 48(11):2310–2322, 2005. doi: 10.1016/j.ijheatmasstransfer.2004.10.037.
[30] D. Jung, H. Lee, D. Bae, and S. Oho. Nucleate boiling heat transfer coefficients of flammable refrigerants, International Journal of Refrigeration, 27(4):409–414, 2004. doi: 10.1016/j.ijrefrig.2003.11.007.
[31] J.X. Zheng, G.P. Jin, M.C. Chyu, and Z.H. Ayub. Boiling of ammonia/lubricant mixture on a horizontal tube in a flooded evaporator with inlet vapor quality. {\em Experimental Thermal Fluides Sciences, 30(3):223–231, 2006. doi: 10.1016/j.expthermflusci.2005.06.001.
[32] V. Trisaksri, and S. Wongwises. Nucleate pool boiling heat transfer of TiO2-R141b nanofluids. International Journal of Heat and Mass Transfer, 52(5-6):1582–1588, 2009. doi: 10.1016/j.ijheatmasstransfer.2008.07.041.
[33] J.M.S. Jabardo, G. Ribatski, and E. Stelute. Roughness and surface material effects on nucleate boiling heat transfer from cylindrical surfaces to refrigerants R-134a and R-123. Experimetal Thermal Fluides Sciences, 33(4):579–590, 2009. doi: 10.1016/j.expthermflusci.2008.12.004.
[34] D. Jung, K. An, and J. Park. Nucleate boiling heat transfer coefficients of HCFC22, HFC134a, HFC125 and HFC32 on various enhanced tubes. International Journal of Refrigeration, 27(2):202–206, 2004. doi: 10.1016/S0140-7007(03)00124-5.
[35] S.P. Rocha, O. Kannengieser, E.M. Cardoso, and J.C. Passos. Nucleate pool boiling of R-134a on plain and micro-finned tubes. International Journal of Refrigeration, 36(2):456–464, 2013. doi: 10.1016/j.ijrefrig.2012.11.031.
Go to article

Authors and Affiliations

Touhami Baki
1
ORCID: ORCID
Djamel Sahel
2
ORCID: ORCID

  1. Mechanical Faculty, Gaseous Fuels and Environment Laboratory, USTO-MB, El-M'Naouer, Oran, Algeria
  2. Department of Technical Sciences, Amar Telidji of Laghouat, Algeria
Download PDF Download RIS Download Bibtex

Abstract

Spark plasma sintering (SPS) is a promising modern technology that sinters a powder, whether it is ceramic or metallic, transforming it into a solid. This technique applies both mechanical pressure and a pulsed direct electric current simultaneously. This study presents a three-dimensional (3D) numerical investigation of the thermoelectric (thermal and electric current density fields) and mechanical (strain-stress and displacement fields) couplings during the SPS process of two powders: alumina (ceramic) and copper (metallic). The ANSYS software was employed to solve the conservation equations for energy, electric potential, and mechanical equilibrium simultaneously. Initially, the numerical findings regarding the thermoelectric and mechanical coupling phenomena observed in the alumina and copper specimens were compared with existing numerical and experimental results from the literature. Subsequently, a comprehensive analysis was conducted to examine the influence of current intensity and applied pressure on the aforementioned coupling behavior within the SPS device. The aim was to verify and clarify specific experimental values associated with these parameters, as reported in the literature, and identify the optimal values of applied pressure (5 MPa for alumina and 8.72 MPa for copper) and electric current (1000 A for alumina and 500 A for copper) to achieve a more homogeneous material.
Go to article

Bibliography

[1] C. Wang, L. Cheng, and Z. Zhao. FEM analysis of the temperature and stress distribution in spark plasma sintering: Modelling and experimental validation. Computational Materials Science, 49(2):351–362, 2010. doi: 10.1016/j.commatsci.2010.05.021.
[2] M. Fattahi, M.N. Ershadi, M. Vajdi, F.S. Moghanlou, and A.S. Namini. On the simulation of spark plasma sintered TiB2 ultra high temperature ceramics: A numerical approach. Ceramics International, 46(10A):14787–14795, 2020. doi: 10.1016/j.ceramint.2020.03.003.
[3] A. Pavia, L. Durand, F. Ajustron, V. Bley, G. Chevallier, A. Peigney, and C. Estournès. Electro-thermal measurements and finite element method simulations of a spark plasma sintering device. Journal of Materials Processing Technology, 213(8):1327–1336, 2013. doi: 10.1016/j.jmatprotec.2013.02.003.
[4] E.A. Olevsky, C. Garcia-Cardona, W.L. Bradbury, C.D. Haines, D.G. Martin, and D. Kapoor. Fundamental aspects of spark plasma sintering: II. Finite element analysis of scalability. Journal of the American Ceramics Society, 95(8):2414–2422, 2012. doi: 10.1111/j.1551-2916.2012.05096.x.
[5] D. Tiwari, B. Basu, and K. Biswas. Simulation of thermal and electric field evolution during spark plasma sintering. Ceramics International, 35:699–708, 2009. doi: 10.1016/j.ceramint.2008.02.013.
[6] X. Wang, S.R. Casolco, G. Xu, and J.E. Garay. Finite element modeling of electric current-activated sintering: The effect of coupled electrical potential, temperature and stress. Acta Materialia, 55(10):3611–3622, 2007. doi: 10.1016/j.actamat.2007.02.022.
[7] G. Maizza, S. Grasso, Y. Sakka, T. Noda, and O. Ohashi. Relation between microstructure, properties and spark plasma sintering (SPS) parameters of pure ultrafine WC powder. Science and Technology of Advanced Materials, 8(7-8):644–654, 2007. doi: 10.1016/j.stam.2007.09.002.
[8] G. Garcia and E. Olevsky. Numerical simulation of spark plasma sintering. Advances in Science and Technology, 63:58–61, 2010.doi: 10.4028/www.scientific.net/AST.63.58.
[9] K. Vanmeensel, A. Laptev, J. Hennicke, J. Vleugels, and O. Vanderbiest. Modelling of the temperature distribution during field assisted sintering. Acta Materialia, 53:4379–4388, 2005. doi: 10.1016/j.actamat.2005.05.042.
[10] A. Cincotti, A.M. Locci, R. Orrù, and G. Cao. Modeling of SPS apparatus: Temperature, current and strain distribution with no powders. AIChE Journal, 53(3):703–719, 2007. doi: 10.1002/aic.11102.
[11] A. Zavaliangos, J. Zhang, M. Krammer, and J. Groza. Temperature evolution during field activated sintering. Materials Science and Engineering: A, 379(1-2):218–228, 2004. doi: 10.1016/j.msea.2004.01.052.
[12] S. Muñoz and U. Anselmi-Tamburini. Temperature and stress fields evolution during spark plasma sintering processes. Journal of Materials Science, 45:6528–6539, 2010. doi: 10.1007/s10853-010-4742-7.
[13] C. Wolff, S. Mercier, H. Couque, and A.Molinari. Modeling of conventional hot compaction and Spark Plasma Sintering based on modified micromechanical models of porous materials. Mechanics of Materials, 49:72–91, 2012. doi: 10.1016/j.mechmat.2011.12.002.
[14] C. Manière, G. Lee, J. McKittrick, and E. Olevsky. Energy efficient spark plasma sintering: breaking the threshold of large dimension tooling energy consumption. Journal of the American Ceramics Society, 102(2):706–716, 2019. doi: 0.1111/jace.16046.
[15] W. Chen, U. Anselmi-Tamburini, J.E. Garay, J.R. Groza, and Z.A. Munir. Fundamental investigations on the spark plasma sintering/synthesis process I. Effect of dc pulsing on reactivity. Materials Science and Engineering: A, 394(1-2):132–138, 2005. doi: 10.1016/j.msea.2004.11.020.
[16] I. Sulima, G. Boczkal, and P. Palka. Mechanical properties of composites with titanium diboride fabricated by spark plasma sintering. Archives of Metallurgy and Materials, 62(3):1665–1671, 2017. doi: 10.1515/amm-2017-0255.
[17] D. Bubesh Kumar, B. Selva babu, K.M. Aravind Jerrin, N. Joseph, and A. Jiss. Review of spark plasma sintering process. IOP Conference Series: Materials Science and Engineering, 993:012004, 2020. doi: 10.1088/1757-899X/993/1/012004.
[18] P.Yu. Nikitin, I.A. Zhukov, and A.B. Vorozhtsov. Decomposition mechanism of AlMgB14 during the spark plasma sintering. Journal of Materials Research and Technology, 11:687–692, 2021. doi: 10.1016/j.jmrt.2021.01.044.
[19] M. Stuer, P. Bowen, and Z. Zhao. Spark plasma sintering of ceramics: from modeling to practice. Ceramics, 3(4):476–493, 2020. doi: 10.3390/ceramics3040039.
[20] U. Anselmi-Tamburini, S. Gennari, J.E. Garay, and Z.A. Munir. Fundamental investigations on the spark plasma sintering/synthesis process: II. Modeling of current and temperature distributions. Materials Science and Engineering: A, 394(1-2):139–148,2005. doi: 10.1016/j.msea.2004.11.019.
[21] G. Lee, E. Olevsky, C. Manière, A. Maximenko, O. Izhvanov, C. Back, and J. McKittrick. Effect of electric current on densification behavior of conductive ceramic powders consolidated by spark plasma sintering. Acta Materialia, 144:524–533, 2017. doi: 10.1016/j.actamat.2017.11.010.
[22] A. Annamalai, M. Srikanth, A. Muthuchamy, S. Acharya, A. Khisti, D. Agrawal, and C. Jen. Spark plasma sintering and characterization of Al-TiB2 composites. Metals, 10(09):1110, 2020. doi: 10.3390/met10091110.
[23] G. Molenat, L. Durand, J. Galy, and A. Couret. Temperature control in spark plasma sintering: An FEM approach. Journal of Metallurgy, 2010:145431, 2020. doi: 10.1155/2010/145431.
[24] J. Gurt Santanach, A. Weibel, C. Estournès, Q. Yang, C. Laurent, and A.Peigney. Spark plasma sintering of alumina: Study of parameters, formal sintering analysis and hypotheses on the mechanism(s) involved in densification and grain growth. Acta Materialia, 59:1400–1408, 2011. doi: 10.1016/j.actamat.2010.11.002.
[25] S. Deng, R. Li, T. Yuan, and P. Cao. Effect of electric current on crystal orientation and its contribution to densification during spark plasma sintering. Materials Letters, 229:126–129, 2018. doi: 10.1016/j.matlet.2018.07.001.
[26] Z.A. Munir, U. Anselmi-Tamburini, and M. Ohyanagi. The effect of electric field and pressure on the synthesis and consolidation of materials: A review of the spark plasma sintering method. Journal of Materials Science, 41:763–777, 2006. doi: 10.1007/s10853-006-6555-2.
[27] S. Grasso, P. Poetschke, V. Richter, G. Maizza, Y. Sakka, and M. Reece. Low-temperature spark plasma sintering of pure nano WC powder. Journal of the American Ceramic Society, 96(6):1702–1705, 2013. doi: 10.1111/jace.12365.
[28] M.M. Shahraki, M.D. Chermahini, M. Abdollahi, R. Irankhah, P. Mahmoudi, and E. Karimi. Spark plasma sintering of SnO2 based varistors. Ceramics International, 46(12):20429–20436, 2020. doi: 10.1016/j.ceramint.2020.05.135.
[29] F. Mechighel, G. Antou, B. Pateyron, A. Maître, and M. El Ganaoui. Simulation numérique du couplage électrique, thermique et mécanique lors du frittage ``flash'' de matériaux céramiques et métalliques. Congrès Français de Thermique/Actes, 2008. https://www.sft.asso.fr/document.php?pagendx=10430.
[30] F. Mechighel, A. Maître, B. Pateyron, M. El Ganaoui, and M. Kadja. Evolution de la température lors du processus du frittage ``flash''. Congrès Français de Thermique/Actes, 2009. https://www.sft.asso.fr/document.php?pagendx=9830.
[31] S.O. Jeje, M.B. Shongwe, A.L. Rominiyi, and P.A. Olubambi. Spark plasma sintering of titanium matrix composite – a review. The International Journal of Advanced Manufacturing Technology, 117:2529–2544, 2021. doi: 10.1007/s00170-021-07840-7.
[32] E. Bódis and Z. Károly. Fabrication of graded alumina by spark plasma sintering. The International Journal of Advanced Manufacturing Technology, 117:2835–2843, 2021. doi: 10.1007/s00170-021-07855-0.
[33] ANSYS software (16.2) [ANSYS Workbench]. (2015). https://www.ansys.com.
[34] R.J. Chowdhury. Numerical Study of the Process Parameters in Spark Plasma Sintering (SPS). Master of Science Thesis, Faculty of the Graduate College of the Oklahoma State University, 2013.
[35] CES EduPack software, Granta Design Limited, Cambridge, UK (2019). Ansys (CES) Granta EduPack. https://www.ansys.com/products/materials/granta-edupack.
[36] F. Mechighel, M. El Ganaoui, M. Kadja, B. Pateyron, and S. Dost. Numerical simulation of three dimensional low Prandtl liquid flow in a parallelepiped cavity under an external magnetic field. Fluid Dynamics \amp; Materials Processing, 5(4):313–330, 2009. doi: 10.3970/fdmp.2009.005.313.
[37] C. Manière, A. Pavia, L. Durand, G. Chevalier, K. Afanga, and C. Estournès. Finite-element modeling of the electro-thermal contacts in the spark plasma sintering process. Journal of the European Ceramic Society, 36(3):741–748, 2016. doi: 10.1016/j.jeurceramsoc.2015.10.033.
[38] G. Antou, G. Mathieu, G. Trolliard, and A. Maître. Spark plasma sintering of zirconium carbide and oxycarbide: Finite element modeling of current density, temperature, and stress distributions. Journal of Materials Research, 24:404–414, 2009. doi: 10.1557/JMR.2009.0039.
[39] K.N. Zhu, A. Godfrey, N. Hansen, and X.D. Zhang. Microstructure and mechanical strength of near- and sub-micrometre grain size copper prepared by spark plasma sintering. Materials \amp; Design, 117:95–103, 2017. doi: 10.1016/j.matdes.2016.12.042.
[40] C. Arnaud, C. Manière, G. Chevallier, C. Estournès, R. Mainguy, F. Lecouturier, D. Mesguich, A. Weibel, L. Durand, and C. Laurent. Dog-bone copper specimens prepared by one-step spark plasma sintering. Journal of Materials Science, 50:7364–7373, 2015. doi: 10.1007/s10853-015-9293-5.
[41] J. Diatta, G. Antou, N. Pradeilles, and A. Maître. Numerical modeling of spark plasma sintering – Discussion on densification mechanism identification and generated porosity gradients. Journal of the European Ceramic Society, 37(15):4849–4860, 2017. doi: 10.1016/j.jeurceramsoc.2017.06.052.
Go to article

Authors and Affiliations

Abdelmalek Kriba
1
ORCID: ORCID
Farid Mechighel
1 2
ORCID: ORCID

  1. LR3MI Laboratory, Mechanical Engineering Department, Faculty of Technology, Badji Mokhtar - Annaba University, Annaba , Algeria
  2. Energy and Pollution Laboratory - Mentouri Brothers University - Constantine, Algeria
Download PDF Download RIS Download Bibtex

Abstract

The lubrication of angular contact ball bearings under high-speed motion conditions is particularly important to the working performance of rolling bearings. Combining the contact characteristics of fluid domain and solid domain, a lubrication calculation model for angular contact ball bearings is established based on the RNG k-ε method. The pressure and velocity characteristics of the bearing basin under the conditions of rotational speed, number of balls and lubricant parameters are analyzed, and the lubrication conditions and dynamics of the angular contact ball bearings under different working conditions are obtained. The results show that the lubricant film pressure will rise with increasing speed and viscosity of the lubricant. The number of balls affects the pressure and velocity distribution of the flow field inside the bearing but has a small effect on the values of the characteristic parameters of the bearing flow field. The established CFD model provides a new approach to study the effect of fluid flow on bearing performance in angular contact ball bearings.
Go to article

Bibliography

[1] B. Yan, L. Dong, K. Yan, F. Chen, Y. Zhu, and D. Wang. Effects of oil-air lubrication methods on the internal fluid flow and heat dissipation of high-speed ball bearings. Mechanical Systems and Signal Processing, 151:107409, 2021. doi: 10.1016/j.ymssp.2020.107409.
[2] H. Bao, X. Hou, X. Tang, and F. Lu. Analysis of temperature field and convection heat transfer of oil-air two-phase flow for ball bearing with under-race lubrication. Industrial Lubrication and Tribology, 73(5):817–821, 2021. doi: 10.1108/ilt-03-2021-0067/v2/decision1.
[3] T.A. Harris. Rolling Bearing Analysis. Taylor & Francis Inc. 1986.
[4] T.A. Harris and M.N. Kotzalas. Advanced Concepts of Bearing Technology. Taylor & Francis Inc. 2006.
[5] F.J. Ebert. Fundamentals of design and technology of rolling element bearings. Chinese Journal of Aeronautics, 23(1):123-136, 2010. doi: 10.1016/s1000-9361(09)60196-5.
[6] T.A. Harris. An analytical method to predict skidding in high speed roller bearings. A S L E Transactions, 9(3):229–241, 1966. doi: 10.1080/05698196608972139.
[7] A. Wang, S. An, and T. Nie. Analysis of main bearings lubrication characteristics for diesel engine. In: IOP Conference Series: Materials Science and Engineering, 493(1):012135, 2019. doi: 10.1088/1757-899X/493/1/012135.
[8] W. Zhou, Y. Wang, G. Wu, B. Gao, and W. Zhang. Research on the lubricated characteristics of journal bearing based on finite element method and mixed method. Ain Shams Engineering Journal, 13(4):101638, 2022. doi: 10.1016/j.asej.2021.11.007.
[9] J. Chmelař, K. Petr, P. Mikeš, and V. Dynybyl. Cylindrical roller bearing lubrication regimes analysis at low speed and pure radial load. Acta Polytechnica, 59(3):272–282, 2019. doi: 10.14311/AP.2019.59.0272.
[10] C. Wang, M. Wang, and L. Zhu. Analysis of grooves used for bearing lubrication efficiency enhancement under multiple parameter coupling. Lubricants, 10(3):39, 2022. doi: 10.3390/lubricants10030039.
[11] Z. Xie and W. Zhu. An investigation on the lubrication characteristics of floating ring bearing with consideration of multi-coupling factors. Mechanical Systems and Signal Processing, 162:108086, 2022. doi: 10.1016/j.ymssp.2021.108086.
[12] M. Almeida, F. Bastos, and S. Vecchio. Fluid–structure interaction analysis in ball bearings subjected to hydrodynamic and mixed lubrication. Applied Sciences, 13(9):5660, 2023. doi: 10.3390/app13095660.
[13] J. Sun, J. Yang, J. Yao, J. Tian, Z. Xia, H. Yan, and Z. Bao. The effect of lubricant viscosity on the performance of full ceramic ball bearings. Materials Research Express, 9(1):015201, 2022. doi: 10.1088/2053-1591/ac4881.
[14] D.Y. Dhande and D.W. Pande. A two-way {FSI} analysis of multiphase flow in hydrodynamic journal bearing with cavitation. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 39:3399–3412, 2017. doi: 10.1007/s40430-017-0750-8.
[15] H. Liu, Y. Li, and G. Liu. Numerical investigation of oil spray lubrication for transonic bearings. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40:401, 2018. doi: 10.1007/s40430-018-1317-z.
Go to article

Authors and Affiliations

Bowen Jiao
1
ORCID: ORCID
Qiang Bian
1
ORCID: ORCID
Xinghong Wang
1
Chunjiang Zhao
1
ORCID: ORCID
Ming Chen
1
Xiangyun Zhang
2

  1. School of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, China
  2. Luoyang Bearing Research Institute Co., Ltd, Luoyang, China
Download PDF Download RIS Download Bibtex

Abstract

This paper presents a numerical analysis of the thermal-flow characteristics for a laminar flow inside a rectangular microchannel. The flow of water through channels with thin obstacles mounted on opposite walls was analyzed. The studies were conducted with a low Reynolds number (from 20 to 200). Different heights of rectangular obstacles were analyzed to see if geometrical factors influence fluid flow and heat exchange in the microchannel. Despite of the fact that the use of thin obstacles in the microchannels leads to an increase in the pressure drop, the increase in the height of the obstacles favors a significant intensification of heat exchange with the maximum thermal gain factor of 1.9 for the obstacle height coefficient h/H=0.5, which could be acceptable for practical application.
Go to article

Bibliography

[1] Y.-T. Yang and S. Yang. Numerical study of turbulent flow in two-dimensional channel with surface mounted obstacle. International Journal of Heat and Mass Transfer, 37(18):2985–2991, 1994. doi: 10.1016/0017-9310(94)90352-2.
[2] K. Sivakumar, T. Sampath Kumar, S. Sivasankar, V. Ranjithkumar, and A. Ponshanmugakumar. Effect of rib arrangements on the flow pattern and heat transfer in internally ribbed rectangular divergent channels. Materials Today: Proceedings, 46(9):3379–3385, 2021. doi: 10.1016/j.matpr.2020.11.548.
[3] T.M. Liou, S.W. Chang, and S.P. Chan. Effect of rib orientation on thermal and fluid-flow features in a two-pass parallelogram channel with abrupt entrance. International Journal of Heat and Mass Transfer, 116:152–165, 2018. doi: 10.1016/j.ijheatmasstransfer.2017.08.094.
[4] W. Yang, S. Xue, Y. He, and W. Li. Experimental study on the heat transfer characteristics of high blockage ribs channel. Experimental Thermal and Fluid Science, 83:248–259, 2017. doi: 10.1016/j.expthermflusci.2017.01.016.
[5] F.B. Teixeira, M.V. Altnetter, G. Lorenzini, B.D. do A. Rodriguez, L.A.O. Rocha, L.A. Isoldi, and E.D. dos Santos. Geometrical evaluation of a channel with alternated mounted blocks under mixed convection laminar flows using constructal design. Journal of Engineering Thermophysics, 29(1): 92–113, 2020. doi: 10.1134/S1810232820010087.
[6] A. Korichi and L. Oufer. Numerical heat transfer in a rectangular channel with mounted obstacles on upper and lower walls. International Journal of Thermal Sciences, 44(7):644–655, 2005. doi: 10.1016/j.ijthermalsci.2004.12.003.
[7] L.C. Demartini, H.A. Vielmo, and S.V. Möller. Numeric and experimental analysis of the turbulent flow through a channel with baffle plates. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 26(2):153–159, 2004. doi: 0.1590/S1678-58782004000200006.
[8] Y.T. Yang and C.Z. Hwang. Calculation of turbulent flow and heat transfer in a porous-baffled channel. International Journal of Heat and Mass Transfer, 46(5):771–780, 2003. doi: 0.1016/S0017-9310(02)00360-5.
[9] G. Wang, T. Chen, M. Tian, and G. Ding. Fluid and heat transfer characteristics of microchannel heat sink with truncated rib on sidewall. International Journal of Heat and Mass Transfer, 148:119142, 2020. doi: 10.1016/j.ijheatmasstransfer.2019.119142.
[10] S. Mahjoob and S. Kashkuli. Thermal transport analysis of injected flow through combined rib and metal foam in converging channels with application in electronics hotspot removal. International Journal of Heat and Mass Transfer, 177:121223, 2021. doi: 10.1016/j.ijheatmasstransfer.2021.121223.
[11] L. Chai, G.D. Xia, and H.S. Wang. Numerical study of laminar flow and heat transfer in microchannel heat sink with offset ribs on sidewalls. Applied Thermal Engineering, 92:32–41, 2016. doi: 10.1016/j.applthermaleng.2015.09.071.
[12] Y. Yin, R. Guo, C. Zhu, T. Fu, and Y. Ma. Enhancement of gas-liquid mass transfer in microchannels by rectangular baffles. Separation and Purification Technology, 236:116306, 2020. doi: 10.1016/j.seppur.2019.116306.
[13] A. Behnampour O.A. Akbari, M.R. Safaei, M. Ghavami, A. Marzban, G.A.S. Shabani, M. Zarringhalam, and R. Mashayekhi. Analysis of heat transfer and nanofluid fluid flow in microchannels with trapezoidal, rectangular and triangular shaped ribs. Physica E: Low-Dimensional Systems and Nanostructures, 91:15–31, 2017. doi: 10.1016/j.physe.2017.04.006.
[14] M.R. Gholami, O.A. Akbari, A. Marzban, D. Toghraie, G.A.S. Shabani, and M. Zarringhalam. The effect of rib shape on the behavior of laminar flow of {oil/MWCNT} nanofluid in a rectangular microchannel. Journal of Thermal Analysis and Calorimetry, 134(3):1611–1628, 2018. doi: 10.1007/s10973-017-6902-3.
[15] O.A. Akbari, D. Toghraie, A. Karimipour, M.R. Safaei, M. Goodarzi, H. Alipour, and M. Dahari. Investigation of rib’s height effect on heat transfer and flow parameters of laminar water-{Al2O3} nanofluid in a rib-microchannel. Applied Mathematics and Computation, 290:135–153, 2016. doi: 10.1016/j.amc.2016.05.053.
[16] B. Mondal, S. Pati, and P.K. Patowari. Analysis of mixing performances in microchannel with obstacles of different aspect ratios. Journal of Process Mechanical Engineering, 233(5):1045–1051, 2019. doi: 10.1177/0954408919826748.
[17] L. Chai, G.D. Xia, and H.S. Wang. Parametric study on thermal and hydraulic characteristics of laminar flow in microchannel heat sink with fan-shaped ribs on sidewalls -- Part 2: Pressure drop. International Journal of Heat and Mass Transfer, 97:1081–1090, 2016. doi: 10.1016/j.ijheatmasstransfer.2016.02.076.
[18] P. Pontes, I. Gonçalves, M. Andredaki, A. Georgoulas, A.L.N. Moreira, and A.S. Moita. Fluid flow and heat transfer in microchannel devices for cooling applications: Experimental and numerical approaches. Applied Thermal Engineering, 218:119358, 2023. doi: 10.1016/j.applthermaleng.2022.119358.
[19] B.K. Srihari, A. Kapoor, S. Krishnan, and S. Balasubramanian. Computational fluid dynamics studies on the flow of fluids through microchannel with intentional obstacles. AIP Conference Proceedings, 2516(1):170003. doi: 10.1063/5.0108550.
[20] T. Grzebyk and A. Górecka-Drzazga. Vacuum microdevices. Bulletin of the Polish Academy of Sciences: Technical Sciences, 60(1):19–23, 2012. doi: 10.2478/v10175-012-0004-y.
[21] M. Kmiotek and A. Kucaba-Piętal. Influence of slim obstacle geometry on the flow and heat transfer in microchannels. Bulletin of the Polish Academy of Sciences: Technical Sciences, 66(2):111–118, 2018. doi: 10.24425/119064.
[22] S. Baheri Islami, B. Dastvareh, and R. Gharraei. An investigation on the hydrodynamic and heat transfer of nanofluid flow, with non-Newtonian base fluid, in micromixers. International Journal of Heat and Mass Transfer, 78:917–929, 2014. doi: 10.1016/j.ijheatmasstransfer.2014.07.022.
[23] S. Baheri Islami, B. Dastvareh, and R. Gharraei. Numerical study of hydrodynamic and heat transfer of nanofluid flow in microchannels containing micromixer. International Communications in Heat and Mass Transfer, 43:146–154, 2013. doi: 10.1016/j.icheatmasstransfer.2013.01.002.
[24] C.K. Chung, C.Y. Wu, and T.R. Shih. Effect of baffle height and reynolds number on fluid mixing, Microsystem Technologies, 14(9-11):1317–1323, 2008, doi: 10.1007/s00542-007-0511-1.
[25] I. Adina R&D, Theory and Modling Guide, Vollume III: ADINA CFD&FSI, Report ARD. 2019.
[26] P.J. Roache. Verification and Validation in Computational Science and Engineering. Hermosa Publishers, 1998.
Go to article

Authors and Affiliations

Małgorzata Kmiotek
1
ORCID: ORCID
Robert Smusz
1
ORCID: ORCID

  1. Rzeszow University of Technology, The Faculty of Mechanical Engineering and Aeronautics, Rzeszow, Poland
Download PDF Download RIS Download Bibtex

Abstract

In this paper, an adaptive distributed formation controller for wheeled nonholonomic mobile robots is developed. The dynamical model of the robots is first derived by employing the Euler-Lagrange equation while taking into consideration the presence of disturbances and uncertainties in practical applications. Then, by incorporating fractional calculus in conjunction with fast terminal sliding mode control and consensus protocol, a robust distributed formation controller is designed to assure a fast and finite-time convergence of the robots towards the required formation pattern. Additionally, an adaptive mechanism is integrated to effectively counteract the effects of disturbances and uncertain dynamics. Moreover, the suggested control scheme's stability is theoretically proven through the Lyapunov theorem. Finally, simulation outcomes are given in order to show the enhanced performance and efficiency of the suggested control technique.
Go to article

Bibliography

[1] D. Xu, X. Zhang, Z. Zhu, C. Chen, and P. Yang. Behavior-based formation control of swarm robots. Mathematical Problems in Engineering, 2014:205759, 2014. doi: 10.1155/2014/205759.
[2] G. Lee and D. Chwa. Decentralized behavior-based formation control of multiple robots considering obstacle avoidance. Intelligent Service Robotics, 11:127–138, 2018. doi: 10.1007/s11370-017-0240-y.
[3] N. Hacene and B. Mendil. Behavior-based autonomous navigation and formation control of mobile robots in unknown cluttered dynamic environments with dynamic target tracking. International Journal of Automation and Computing, 18:766–786, 2021. doi: 10.1007/s11633-020-1264-x.
[4] Z. Pan, D. Li, K. Yang, and H. Deng. Multi-robot obstacle avoidance based on the improved artificial potential field and pid adaptive tracking control algorithm. Robotica, 37(11):1883–1903, 2019. doi: 10.1017/S026357471900033X.
[5] A.D. Dang, H.M. La, T. Nguyen, and J. Horn. Formation control for autonomous robots with collision and obstacle avoidance using a rotational and repulsive force–based approach. International Journal of Advanced Robotic Systems, 16(3):1729881419847897, 2019. doi: 10.1177/1729881419847897.
[6] M. Maghenem, A. Loría, E. Nuno, and E. Panteley. Consensus-based formation control of networked nonholonomic vehicles with delayed communications. IEEE Transactions on Automatic Control, 66(5):2242–2249, 2020. doi: 10.1109/TAC.2020.3005668.
[7] J.G. Romero, E. Nuño, E. Restrepo, and I. Sarras. Global consensus-based formation control of nonholonomic mobile robots with time-varying delays and without velocity measurements. IEEE Transactions on Automatic Control, 2023. doi: 10.1109/TAC.2023.3264744.
[8] S.-L. Dai, S. He, X. Chen, and X. Jin. Adaptive leader–follower formation control of nonholonomic mobile robots with prescribed transient and steady-state performance. IEEE Transactions on Industrial Informatics, 16(6):3662–3671, 2019. doi: 10.1109/TII.2019.2939263.
[9] J. Hirata-Acosta, J. Pliego-Jiménez, C. Cruz-Hernádez, and R. Martínez-Clark. Leader-follower formation control of wheeled mobile robots without attitude measurements. Applied Sciences, 11(12):5639, 2021. doi: 10.3390/app11125639.
[10] X. Liang, H. Wang, Y.-H. Liu, Z. Liu, and W. Chen. Leader-following formation control of nonholonomic mobile robots with velocity observers. IEEE/ASME Transactions on Mechatronics, 25(4):1747–1755, 2020. doi: 10.1109/TMECH.2020.2990991.
[11] X. Chen, F. Huang, Y. Zhang, Z. Chen, S. Liu, Y. Nie, J. Tang, and S. Zhu. A novel virtual-structure formation control design for mobile robots with obstacle avoidance. Applied Sciences, 10(17):5807, 2020. doi: 10.3390/app10175807.
[12] L. Dong, Y. Chen, and X. Qu. Formation control strategy for nonholonomic intelligent vehicles based on virtual structure and consensus approach. Procedia Engineering, 137:415–424, 2016. doi: 10.1016/j.proeng.2016.01.276.
[13] N. Nfaileh, K. Alipour, B. Tarvirdizadeh, and A. Hadi. Formation control of multiple wheeled mobile robots based on model predictive control. Robotica, 40(9):3178–3213, 2022. doi: 10.1017/S0263574722000121.
[14] H. Xiao, C.L.P. Chen, G. Lai, D. Yu, and Y. Zhang. Integrated nonholonomic multi-robot con- sensus tracking formation using neural-network-optimized distributed model predictive control strategy. Neurocomputing, 518:282–293, 2023. doi: 10.1016/j.neucom.2022.11.007.
[15] W. Wang, J. Huang, C. Wen, and H. Fan. Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots. Automatica, 50(4):1254–1263, 2014. doi: 10.1016/j.automatica.2014.02.028.
[16] Y.H. Moorthy and S. Joo. Distributed leader-following formation control for multiple nonholonomic mobile robots via bioinspired neurodynamic approach. Neurocomputing, 492:308–321, 2022. doi: 10.1016/j.neucom.2022.04.001.
[17] S. Ik Han. Prescribed consensus and formation error constrained finite-time sliding mode control for multi-agent mobile robot systems. IET Control Theory & Applications, 12(2):282–290, 2018. doi: 10.1049/iet-cta.2017.0351.
[18] C.-C. Tsai, Y.-X. Li, and F.-C. Tai. Backstepping sliding-mode leader-follower consensus formation control of uncertain networked heterogeneous nonholonomic wheeled mobile multirobots. In 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pages 1407–1412. IEEE, 2017. doi: 10.23919/SICE.2017.8105661.
[19] R. Rahmani, H. Toshani, and S. Mobayen. Consensus tracking of multi-agent systems using constrained neural-optimiser-based sliding mode control. International Journal of Systems Science, 51(14):2653–2674, 2020. doi: 10.1080/00207721.2020.1799257.
[20] R. Afdila, F. Fahmi, and A. Sani. Distributed formation control for groups of mobile robots using consensus algorithm. Bulletin of Electrical Engineering and Informatics, 12(4):2095–2104, 2023. doi: 10.11591/eei.v12i4.3869.
[21] L.-D. Nguyen, H.-L. Phan, H.-G. Nguyen, and T.-L. Nguyen. Event-triggered distributed robust optimal control of nonholonomic mobile agents with obstacle avoidance formation, input constraints and external disturbances. Journal of the Franklin Institute, 360(8):5564–5587, 2023. doi: 10.1016/j.jfranklin.2023.02.033.
[22] Y.-H. Chang, C.-Y. Yang, W.-S. Chan, H.-W. Lin, and C.-W. Chang. Adaptive fuzzy sliding-mode formation controller design for multi-robot dynamic systems. I nternational Journal of Fuzzy Systems, 16(1):121–131, 2014.
[23] X. Chu, Z. Peng, G. Wen, and A. Rahmani. Robust fixed-time consensus tracking with application to formation control of unicycles. IET Control Theory & Applications, 12(1):53–59, 2018. doi: 10.1049/iet-cta.2017.0319.
[24] Y. Cheng, R. Jia, H. Du, G. Wen, and W. Zhu. Robust finite-time consensus formation control for multiple nonholonomic wheeled mobile robots via output feedback. International Journal of Robust and Nonlinear Control, 28(6):2082–2096, 2018. doi: 10.1002/rnc.4002.
[25] Y. Xie, X. Zhang, W. Meng, S. Zheng, L. Jiang, J. Meng, and S. Wang. Coupled fractional- order sliding mode control and obstacle avoidance of a four-wheeled steerable mobile robot. ISA Transactions, 108:282–294, 2021. doi: 10.1016/j.isatra.2020.08.025.
[26] J. Bai, G. Wen, A. Rahmani, and Y. Yu. Distributed formation control of fractional-order multi-agent systems with absolute damping and communication delay. International Journal of Systems Science, 46(13):2380–2392, 2015. doi: 10.1080/00207721.2014.998411.
[27] R. Cajo, M. Guinaldo, E. Fabregas, S. Dormido, D. Plaza, R. De Keyser, and C. Ionescu. Distributed formation control for multiagent systems using a fractional-order proportional–integral structure. IEEE Transactions on Control Systems Technology, 29(6):2738–2745, 2021. doi: 10.1109/TCST.2021.3053541.
[28] K.K. Ayten, M.H. Çiplak, and A. Dumlu. Implementation a fractional-order adaptive model-based pid-type sliding mode speed control for wheeled mobile robot. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 233(8):1067–1084, 2019. doi: 10.1177/0959651819847395.
[29] D. Baleanu, K. Diethelm, E. Scalas, and J.J. Trujillo. Fractional Calculus: Models and Numerical Methods, volume 3. World Scientific, 2012.
[30] Y.-H. Chang, C.-W. Chang, C.-L. Chen, and C.-W. Tao. Fuzzy sliding-mode formation control for multirobot systems: design and implementation. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 42(2):444–457, 2011. doi: 10.1109/TSMCB.2011.2167679.
[31] W. Ren and Beard R.W. Distributed consensus in multi-vehicle cooperative control: Theory and applications. Springer, London, 2007.
[32] T.-L. Liao, J.-J. Yan, and W.-S. Chan. Distributed sliding-mode formation controller design for multirobot dynamic systems. Journal of Dynamic Systems, Measurement, and Control, 139(6):061008, 2017. doi: 10.1115/1.4035614.
Go to article

Authors and Affiliations

Allaeddine Yahia Damani
1
ORCID: ORCID
Zoubir Abdeslem Benselama
1
ORCID: ORCID
Ramdane Hedjar
2
ORCID: ORCID

  1. Laboratory of signal and image processing, Saad Dahlab University Blida 1, Blida, Algeria
  2. Center of Smart Robotics Research CEN, King Saud University, Riyadh, Saudi Arabia

Instructions for authors

About the Journal
Archive of Mechanical Engineering is an international journal publishing works of wide significance, originality and relevance in most branches of mechanical engineering. The journal is peer-reviewed and is published both in electronic and printed form. Archive of Mechanical Engineering publishes original papers which have not been previously published in other journal, and are not being prepared for publication elsewhere. The publisher will not be held legally responsible should there be any claims for compensation. The journal accepts papers in English.

Archive of Mechanical Engineering is an Open Access journal. The journal does not have article processing charges (APCs) nor article submission charges.

Outline of procedures
  • To ensure that high scientific standards are met, the editorial office of Archive of Mechanical Engineering implements anti-ghost writing and guest authorship policy. Ghostwriting and guest authorship are indication of scientific dishonesty and all cases will be exposed: editorial office will inform adequate institutions (employers, scientific societies, scientific editors associations, etc.).
  • To maintain high quality of published papers, the editorial office of Archive of Mechanical Engineering applies reviewing procedure. Each manuscript undergoes crosscheck plagiarism screening. Each manuscript is reviewed by at least two independent reviewers.
  • Before publication of the paper, authors are obliged to send scanned copies of the signed originals of the declaration concerning ghostwriting, guest authorship and authors contribution and of the Open Access license.
Submission of manuscripts

The manuscripts must be written in one of the following formats:
  • TeX, LaTeX, AMSTeX, AMSLaTeX (recommended),
  • MS Word, either as standard DOCUMENT (.doc, .docx) or RICH TEXT FORMAT (.rtf).
All submissions to the AME should be made electronically via Editorial System – an online submission and peer review system at https://www.editorialsystem.com/ame. First-time users must create an Author’s account to obtain a user ID and password required to enter the system. All manuscripts receive individual identification codes that should be used in any correspondence with regard to the publication process. For the authors already registered in Editorial System it is enough to enter their username and password to log in as an author. The corresponding author should be identified while submitting a paper – personal e-mail address and postal address of the corresponding author are required. Please note that the manuscript should be prepared using our LaTeX or Word template and uploaded as a PDF file.

If you experience difficulties with the manuscript submission website, please contact the Assistant to the Editor of the AME (ame.eo@meil.pw.edu.pl).

All authors of the manuscript are responsible for its content; they must have agreed to its publication and have given the corresponding author the authority to act on their behalf in all matters pertaining to publication. The corresponding author is responsible for informing the co-authors of the manuscript status throughout the submission, review, and production process.

Length and arrangement

Papers (including tables and figures) should not exceed in length 25 pages of size 12.6 cm x 19.5 cm (printing area) with a font size of 11 pt. For manuscript preparation, the Authors should use the templates for Word or LaTeX available at the journal webpage. Please notice that the final layout of the article will be prepared by the journal's technical staff in LaTeX. Articles should be organized into the following sections:
  • List of keywords (separated by commas),
  • Full Name(s) of Author(s), Affiliation(s), Corresponding Author e-mail address,
  • Title,
  • Abstract,
  • Main text,
  • Appendix,
  • Acknowledgments (if applicable),
  • References.
Affiliations should include department, university, city and country. ORCID identifiers of all Authors should be added.
We suggest the title should be as short as possible but still informative.

An abstract should accompany every article. It should be a brief summary of significant results of the paper and give concise information about the content of the core idea of the paper. It should be informative and not only present the general scope of the paper, but also indicate the main results and conclusions. An abstract should not exceed 200 words.

Please follow the general rules for writing the main text of the paper:
  • use simple and declarative sentences, avoid long sentences, in which the meaning may be lost by complicated construction,
  • divide the main text into sections and subsections (if needed the subsections may be divided into paragraphs),
  • be concise, avoid idle words,
  • make your argumentation complete; use commonly understood terms; define all nonstandard symbols and abbreviations when you introduce them;
  • explain all acronyms and abbreviations when they first appear in the text;
  • use all units consistently throughout the article;
  • be self-critical as you review your drafts.
The authors are advised to use the SI system of units.

Artwork/Equations/Tables

You may use line diagrams and photographs to illustrate theses from your text. The figures should be clear, easy to read and of good quality (300 dpi). The figures are preferred in a vector format (bitmap formats are acceptable, but not recommended). The size of the figures should be adequate to their contents. Use 8-9pt font size of the text within the figures.

You should use tables only to improve conciseness or where the information cannot be given satisfactorily in other ways. Tables should be numbered consecutively and referred to within the text by numbers. Each table should have an explanatory caption which should be as concise as possible. The figures and tables should be inserted in the text file, where they are mentioned.

Displayed equations should be numbered consecutively using Arabic numbers in parentheses. They should be centered, leaving a small space above and below to separate it from the surrounding text.

Footnotes/Endnotes/Acknowledgements

We encourage authors to restrict the use of footnotes. Information concerning research grant support should appear in a separate Acknowledgements section at the end of the paper. Acknowledgements of the assistance of colleagues or similar notes of appreciation should also appear in the Acknowledgements section.

References
References should be numbered and listed in the order that they appear in the text. References indicated by numerals in square brackets should complete the paper in the following style:

Books:
[1] R.O. Author. Title of the Book in Italics. Publisher, City, 2018.

Articles in Journals:
[2] D.F. Author, B.D. Second Author, and P.C. Third Author. Title of the article. Full Name of the Journal in Italics, 52(4):89–96, 2017. doi: 1234565/3554. (where means: 52 – volume; 4 – number or issue; 89–96 – pages, and 1234565/3554 – doi number (if exists).)

Theses:
[3] W. Author. Title of the thesis. Ph.D. Thesis, University, City, Country, 2010.

Conference Proceedings:
[4] H. Author. Title of the paper. In Proc. Conference Name in Italics, pages 001–005, Conference Place, 10-15 Jan. 2015. doi: 98765432/7654vd.

English language

Archive of Mechanical Engineering is published in English. Make sure that your manuscript is clearly and grammatically written. The content should be understandable and should not cause any confusion to the readers, including the reviewers. After accepting the manuscript for a publication in the AME, we offer a free language check service, for correcting small language mistakes.

Submission of Revised Articles

When revision of a manuscript is requested, authors are expected to deliver the revised version of the manuscript as soon as possible. The manuscript should be uploaded directly to the Editorial System as an answer to the Editor's decision, and not as a new manuscript. If it is the 1st revision, the authors are expected to return revised manuscript within 60 days; if it is the 2nd revision, the authors are expected to return revised manuscript within 14 days. Additional time for resubmission must be requested in advance. If the above mentioned deadlines are not met, the manuscript may be treated as a new submission.

Outline of the Production Process

Once an article has been accepted for publication, the manuscript is transferred into our production system to be language-edited and formatted. Language/technical editors reserve the privilege of editing manuscripts to conform with the stylistic conventions of the journal. Once the article has been typeset, PDF proofs are generated so that authors can approve all editing and layout.

Proofreading

Proofreading should be carried out once a final draft has been produced. Since the proofreading stage is the last opportunity to correct the article to be published, the authors are requested to make every effort to check for errors in their proofs before the paper is posted online. Authors may be asked to address remarks and queries from the language and/or technical editors. Queries are written only to request necessary information or clarification of an unclear passage. Please note that language/technical editors do not query at every instance where a change has been made. It is the author's responsibility to read the entire text, tables, and figure legends, not just items queried. Major alterations made will always be submitted to the authors for approval. The corresponding author receives e-mail notification when a PDF is available and should return the comments within 3 days of receipt. Comments must be uploaded to Editorial System.

Reviewers


The Editorial Board of the Archive of Mechanical Engineering (AME) sincerely expresses gratitude to the following individuals who devoted their time to review papers submitted to the journal. Particularly, we express our gratitude to those who reviewed papers several times.

List of reviewers in 2023

Sara I. ABDELSALAM – University of California Riverside, United States
M. ARUNA – Liwa College of Technology, United Arab Emirates
Krzysztof BADYDA – Warsaw University of Technology, Poland
Nathalie BÄSCHLIN – Kunstmuseum Bern, Germany
Joanna BIJAK – Silesian University of Technology, Gliwice, Poland
Tomas BODNAR – The Czech Academy of Sciences, Prague, Czech Republic
Dariusz BUTRYMOWICZ – Białystok University of Technology, Poland
Suleyman CAGAN – Mechanical Engineering, Mersin University, Turkey
Claudia CASAPULLA – University of Naples Federico II, Italy
Peng CHEN – Northwestern Polytechnical University, Xi’an, China
Yao CHENG – Southwest Jiaotong University, Chengdu, China
Jan de JONG – University of Twente, Netherlands
Mariusz DEJA – Gdańsk University of Technology, Poland
Jerzy EJSMONT – Gdańsk University of Technology, Poland
İsmail ESEN – Karabuk University, Turkey
Pedro Javier GAMEZ-MONTERO – Universitat Politecnica de Catalunya, Spain
Aman GARG – National Institute of Technology, Kurukshetra, India
Michał HAĆ – Warsaw University of Technology, Poland
Satoshi ISHIKAWA – Kyushu University, Japan
Jacek JACKIEWICZ – Kazimierz Wielki University, Bydgoszcz, Poland
Krzysztof JAMROZIAK – Wrocław University of Technology, Poland
Hong-Lae JANG – Changwon National University, Korea (South)
Łukasz JANKOWSKI – Institute of Fluid-Flow Machinery, PAS, Gdansk, Poland
Albizuri JOSEBA – University of the Basque Country, Spain
Łukasz KAPUSTA – Warsaw University of Technology, Poland
Dariusz KARDAŚ – Institute of Fluid-Flow Machinery, PAS, Gdansk, Poland
Panagiotis KARMIRIS-OBRATAŃSKI – AGH University of Science and Technology, Cracow, Poland
Sivakumar KARTHIKEYAN – SRM Nagar
Tarek KHELFA – Hunan University of Humanities Science and Technology, China
Sven-Joachim KIMMERLE – Universität der Bundeswehr München, Germany
Thomas KLETSCHKOWSKI – HAW Hamburg, Germany
Piotr KLONOWICZ – Institute of Fluid-Flow Machinery, PAS, Gdansk, Poland
Vladis KOSSE – Queensland University of Technology, Australia
Mariusz KOSTRZEWSKI – Warsaw University of Technology, Poland
Maria KOTELKO – Lodz University of Technology, Poland
Michał KOWALIK – Warsaw University of Technology, Poland
Zbigniew KRZEMIANOWSKI – Institute of Fluid-Flow Machinery, Gdańsk, Poland
Slawomir KUBACKI – Warsaw University of Technology, Poland
Mieczysław KUCZMA – Poznan University of Technology, Poland
Waldemar KUCZYŃSKI – The Koszalin University of Technology, Poland
Rafał KUDELSKI – AGH University of Science and Technology, Cracow, Poland
Rajesh KUMAR – Sant Longowal Institute of Engineering and Technology, India
Mustafa KUNTOĞLU – Selcuk University, Turkey
Anna LEE – Pohang University of Science and Technology, South Korea, Korea (South)
Guolong LI – Chongqing University, China
Luxian LI – Xi'an Jiaotong University, China
Yingchao LI – Ludong University, Yantai, China
Xiaochuan LIN – Nanjing Tech University, China
Zhihong LIN – HuaQiao University, China
Yakun LIU – Massachusetts Institute of Technology, United States
Jinjun LU – Northwest University, Xiʼan, China
Paweł MACIĄG – Warsaw University of Technology, Poland
Paweł MALCZYK – Warsaw University of Technology, Poland
Emil MANOACH – Bulgarian Academy of Sciences, Sofia, Bulgaria
Mihaela MARIN – “Dunărea de Jos” University of Galati, Romania
Miloš MATEJIĆ – University of Kragujevac, Serbia
Krzysztof MIANOWSKI – Warsaw University of Technology, Poland
Tran MINH TU – Hanoi University of Civil Engineering, Viet Nam
Farhad Sadegh MOGHANLOU – University of Mohaghegh Ardabili, Ardabil, Iran
Mohsen MOTAMEDI – University of Isfahan, Iran
Adis MUMINOVIC – University of Sarajevo, Bosnia and Herzegovina
Mohamed NASR – National Research Centre, Giza, Egypt
Huu-That NGUYEN – Nha Trang University, Viet Nam
Tan-Luy NGUYEN – Ho Chi Minh City University of Technology, Viet Nam
Viorel PALEU – Gheorghe Asachi Technical University of Iasi, Romania
Nicolae PANC – Technical University of Cluj-Napoca, Romania
Marcin PĘKAL – Warsaw University of Technology, Poland
Van Vinh PHAM – Le Quy Don Technical University, Hanoi, Viet Nam
Vaclav PISTEK – Brno University of Technology, Czech Republic
Paweł PYRZANOWSKI – Warsaw University of Technology, Poland
Lei QIN – Beijing Information Science & Technology University, China
Milan RACKOV – University of Novi Sad, Serbia
Yuriy ROMASEVYCH – National University of Life and Environmental Sciences of Ukraine, Kiev, Ukraine
Artur RUSOWICZ – Warsaw University of Technology, Poland
Andrzej SACHAJDAK – Silesian University of Technology, Gliwice, Poland
Mirosław SEREDYŃSKI – Warsaw University of Technology, Poland
Maciej SUŁOWICZ – Cracow University of Technology, Poland
Biswajit SWAIN – National Institute of Technology, Rourkela, India
Tadeusz SZYMCZAK – Motor Transport Institute, Warsaw, Poland
Reza TAHERDANGKOO – Institute of Geotechnics, Freiberg, Germany
Rulong TAN – Chongqing University of Technology, China
Daniel TOBOŁA – Łukasiewicz Research Network - Cracow Institute of Technology, Poland
Milan TRIFUNOVIĆ – University of Niš, Serbia
Duong VU – Duy Tan University, Viet Nam
Shaoke WAN – Xi’an Jiaotong University, China
Dong WEI – Northwest A&F University, Yangling , China
Marek WOJTYRA – Warsaw University of Technology, Poland
Mateusz WRZOCHAL – Kielce University of Technology, Poland
Hugo YAÑEZ-BADILLO – TecNM: Tecnológico de Estudios Superiores de Tianguistenco, Mexico
Guichao YANG – Nanjing Tech University, China
Xiao YANG – Chongqing Technology and Business University, China
Yusuf Furkan YAPAN – Yildiz Technical University, Turkey
Luhe ZHANG – Chongqing University, China
Xiuli ZHANG – Shandong University of Technology, Zibo, China

List of reviewers in 2022
Isam Tareq ABDULLAH – Middle Technical University, Baghdad, Iraq
Ahmed AKBAR – University of Technology, Iraq
Nandalur AMER AHAMMAD – University of Tabuk, Saudi Arabia
Ali ARSHAD – Riga Technical University, Latvia
Ihsan A. BAQER – University of Technology, Iraq
Thomas BAR – Daimler AG, Stuttgart, Germany
Huang BIN – Zhejiang University, Zhoushan, China
Zbigniew BULIŃSKI – Silesian University of Technology, Poland
Onur ÇAVUSOGLU – Gazi University, Turkey
Ali J CHAMKHA – Duy Tan University, Da Nang , Vietnam
Dexiong CHEN – Putian University, China
Xiaoquan CHENG – Beihang University, Beijing, China
Piotr CYKLIS – Cracow University of Technology, Poland
Agnieszka DĄBSKA – Warsaw University of Technology, Poland
Raphael DEIMEL – Berlin University of Technology, Germany
Zhe DING – Wuhan University of Science and Technology, China
Anselmo DINIZ – University of Campinas, São Paulo, Brazil
Paweł FLASZYŃSKI – Institute of Fluid-Flow Machinery, Gdańsk, Poland
Jerzy FLOYRAN – University of Western Ontario, London, Canada
Xiuli FU – University of Jinan, China
Piotr FURMAŃSKI – Warsaw University of Technology, Poland
Artur GANCZARSKI – Cracow University of Technology, Poland
Ahmad Reza GHASEMI– University of Kashan, Iran
P.M. GOPAL – Anna University, Regional Campus Coimbatore, India
Michał GUMNIAK – Poznan University of Technology, Poland
Bali GUPTA – Jaypee University of Engineering and Technology, India
Dmitriy GVOZDYAKOV – Tomsk Polytechnic University, Russia
Jianyou HAN – University of Science and Technology, Beijing, China
Tomasz HANISZEWSKI – Silesian University of Technology, Poland
Juipin HUNG – National Chin-Yi University of Technology, Taichung, Taiwan
T. JAAGADEESHA – National Institute of Technology, Calicut, India
Jacek JACKIEWICZ – Kazimierz Wielki University, Bydgoszcz, Poland
JC JI – University of Technology, Sydney, Australia
Feng JIAO – Henan Polytechnic University, Jiaozuo, China
Daria JÓŹWIAK-NIEDŹWIEDZKA – Institute of Fundamental Technological Research, Warsaw, Poland
Rongjie KANG – Tianjin University, China
Dariusz KARDAŚ – Institute of Fluid-Flow Machinery, Gdansk, Poland
Leif KARI – KTH Royal Institute of Technology, Sweden
Daria KHANUKAEVA – Gubkin Russian State University of Oil and Gas, Russia
Sven-Joachim KIMMERLE – Universität der Bundeswehr München, Germany
Yeong-Jin KING – Universiti Tunku Abdul Rahman, Malaysia
Kaushal KISHORE – Tata Steel Limited, Jamshedpur, India
Nataliya KIZILOVA – Warsaw University of Technology, Poland
Adam KLIMANEK – Silesian University of Technology, Poland
Vladis KOSSE – Queensland University of Technology, Australia
Maria KOTEŁKO – Lodz University of Technology, Poland
Roman KRÓL – Kazimierz Pulaski University of Technology and Humanities in Radom, Poland
Krzysztof KUBRYŃSKI – Airforce Institute of Technology, Warsaw, Poland
Mieczysław KUCZMA – Poznan University of Technology, Poland
Paweł KWIATOŃ – Czestochowa University of Technology, Poland
Lihui Lang – Beihang University, China
Rafał LASKOWSKI – Warsaw University of Technology, Poland
Guolong Li – Chongqing University, China
Leo Gu LI – Guangzhou University, China
Pengnan LI – Hunan University of Science and Technology, China
Nan LIANG – University of Toronto, Mississauga, Canada
Michał LIBERA – Poznan University of Technology, Poland
Wen-Yi LIN – Hungkuo Delin University of Technology, Taiwan
Wojciech LIPINSKI – Austrialian National University, Canberra, Australia
Linas LITVINAS – Vilnius University, Lithuania
Paweł MACIĄG – Warsaw University of Technology, Poland
Krishna Prasad MADASU – National Institute of Technology Raipur, Chhattisgarh, India
Trent MAKI – Amino North America Corporation, Canada
Marco MANCINI – Institut für Energieverfahrenstechnik und Brennstofftechnik, Germany
Piotr MAREK – Warsaw University of Technology, Poland
Miloš MATEJIĆ – University of Kragujevac, Serbia
Phani Kumar MEDURI – VIT-AP University, Amaravati, India
Fei MENG – University of Shanghai for Science and Technology, China
Saleh MOBAYEN – University of Zanjan, Iran
Vedran MRZLJAK – Rijeka University, Croatia
Adis MUMINOVIC – University of Sarajevo, Bosnia and Herzegovina
Mohamed Fawzy NASR – National Research Centre, Giza, Egypt
Paweł OCŁOŃ – Cracow University of Technology, Poland
Yusuf Aytaç ONUR – Zonguldak Bulent Ecevit University, Turkey
Grzegorz ORZECHOWSKI – LUT University, Lappeenranta, Finland
Halil ÖZER – Yıldız Technical University, Turkey
Muthuswamy PADMAKUMAR – Technology Centre Kennametal India Ltd., Bangalore, India
Viorel PALEU – Gheorghe Asachi Technical University of Iasi, Romania
Andrzej PANAS – Warsaw Military Academy, Poland
Carmine Maria PAPPALARDO – University of Salerno, Italy
Paweł PARULSKI – Poznan University of Technology, Poland
Antonio PICCININNI – Politecnico di Bari, Italy
Janusz PIECHNA – Warsaw University of Technology, Poland
Vaclav PISTEK – Brno University of Technology, Czech Republic
Grzegorz PRZYBYŁA – Silesian University of Technology, Poland
Paweł PYRZANOWSKI – Warsaw University of Technology, Poland
K.P. RAJURKARB – University of Nebraska-Lincoln, United States
Michał REJDAK – Institute of Chemical Processing of Coal, Zabrze, Poland
Krzysztof ROGOWSKI – Warsaw University of Technology, Poland
Juan RUBIO – University of Minas Gerais, Belo Horizonte, Brazil
Artur RUSOWICZ – Warsaw University of Technology, Poland
Wagner Figueiredo SACCO – Universidade Federal Fluminense, Petropolis, Brazil
Andrzej SACHAJDAK – Silesian University of Technology, Poland
Bikash SARKAR – NIT Meghalaya, Shillong, India
Bozidar SARLER – University of Lubljana, Slovenia
Veerendra SINGH – TATA STEEL, India
Wieńczysław STALEWSKI – Institute of Aviation, Warsaw, Poland
Cyprian SUCHOCKI – Institute of Fundamental Technological Research, Warsaw, Poland
Maciej SUŁOWICZ – Cracov University of Technology, Poland
Wojciech SUMELKA – Poznan University of Technology, Poland
Tomasz SZOLC – Institute of Fundamental Technological Research, Warsaw, Poland
Oskar SZULC – Institute of Fluid-Flow Machinery, Gdansk, Poland
Rafał ŚWIERCZ – Warsaw University of Technology, Poland
Raquel TABOADA VAZQUEZ – University of Coruña, Spain
Halit TURKMEN – Istanbul Technical University, Turkey
Daniel UGURU-OKORIE – Federal University, Oye Ekiti, Nigeria
Alper UYSAL – Yildiz Technical University, Turkey
Yeqin WANG – Syndem LLC, United States
Xiaoqiong WEN – Dalian University of Technology, China
Szymon WOJCIECHOWSKI – Poznan University of Technology, Poland
Marek WOJTYRA – Warsaw University of Technology, Poland
Guenter WOZNIAK – Technische Universität Chemnitz, Germany
Guanlun WU – Shanghai Jiao Tong University, China
Xiangyu WU – University of California at Berkeley, United States
Guang XIA – Hefei University of Technology, China
Jiawei XIANG – Wenzhou University, China
Jinyang XU – Shanghai Jiao Tong University,China
Jianwei YANG – Beijing University of Civil Engineering and Architecture, China
Xiao YANG – Chongqing Technology and Business University, China
Oguzhan YILMAZ – Gazi University, Turkey
Aznifa Mahyam ZAHARUDIN – Universiti Teknologi MARA, Shah Alam, Malaysia
Zdzislaw ZATORSKI – Polish Naval Academy, Gdynia, Poland
S.H. ZHANG – Institute of Metal Research, Chinese Academy of Sciences, China
Yu ZHANG – Shenyang Jianzhu University, China
Shun-Peng ZHU – University of Electronic Science and Technology of China, Chengdu, China
Yongsheng ZHU – Xi’an Jiaotong University, China

List of reviewers of volume 68 (2021)
Ahmad ABDALLA – Huaiyin Institute of Technology, China
Sara ABDELSALAM – University of California, Riverside, United States
Muhammad Ilman Hakimi Chua ABDULLAH – Universiti Teknikal Malaysia Melaka, Malaysia
Hafiz Malik Naqash AFZAL – University of New South Wales, Sydney, Australia
Reza ANSARI – University of Guilan, Rasht, Iran
Jeewan C. ATWAL – Indian Institute of Technology Delhi, New Delhi, India
Hadi BABAEI – Islamic Azad University, Tehran, Iran
Sakthi BALAN – K. Ramakrishnan college of Engineering, Trichy, India
Leszek BARANOWSKI – Military University of Technology, Warsaw, Poland
Elias BRASSITOS – Lebanese American University, Byblos, Lebanon
Tadeusz BURCZYŃSKI – Institute of Fundamental Technological Research, Warsaw, Poland
Nguyen Duy CHINH – Hung Yen University of Technology and Education, Hung Yen, Vietnam
Dorota CHWIEDUK – Warsaw University of Technology, Poland
Adam CISZKIEWICZ – Cracow University of Technology, Poland
Meera CS – University of Petroleum and Energy Studies, Duhradun, India
Piotr CYKLIS – Cracow University of Technology, Poland
Abanti DATTA – Indian Institute of Engineering Science and Technology, Shibpur, India
Piotr DEUSZKIEWICZ – Warsaw University of Technology, Poland
Dinesh DHANDE – AISSMS College of Engineering, Pune, India
Sufen DONG – Dalian University of Technology, China
N. Godwin Raja EBENEZER – Loyola-ICAM College of Engineering and Technology, Chennai, India
Halina EGNER – Cracow University of Technology, Poland
Fehim FINDIK – Sakarya University of Applied Sciences, Turkey
Artur GANCZARSKI – Cracow University of Technology, Poland
Peng GAO – Northeastern University, Shenyang, China
Rafał GOŁĘBSKI – Czestochowa University of Technology, Poland
Andrzej GRZEBIELEC – Warsaw University of Technology, Poland
Ngoc San HA – Curtin University, Perth, Australia
Mehmet HASKUL – University of Sirnak, Turkey
Michal HATALA – Technical University of Košice, Slovak Republic
Dewey HODGES – Georgia Institute of Technology, Atlanta, United States
Hamed HONARI – Johns Hopkins University, Baltimore, United States
Olga IWASINSKA – Warsaw University of Technology, Poland
Emmanuelle JACQUET – University of Franche-Comté, Besançon, France
Maciej JAWORSKI – Warsaw University of Technology, Poland
Xiaoling JIN – Zhejiang University, Hangzhou, China
Halil Burak KAYBAL – Amasya University, Turkey
Vladis KOSSE – Queensland University of Technology, Brisbane, Australia
Krzysztof KUBRYŃSKI – Air Force Institute of Technology, Warsaw, Poland
Waldemar KUCZYŃSKI – Koszalin University of Technology, Poland
Igor KURYTNIK – State Higher School in Oswiecim, Poland
Daniel LESNIC – University of Leeds, United Kingdom
Witold LEWANDOWSKI – Gdańsk University of Technology, Poland
Guolu LI – Hebei University of Technology, Tianjin, China
Jun LI – Xi’an Jiaotong University, China
Baiquan LIN – China University of Mining and Technology, Xuzhou, China
Dawei LIU – Yanshan University, Qinhuangdao, China
Luis Norberto LÓPEZ DE LACALLE – University of the Basque Country, Bilbao, Spain
Ming LUO – Northwestern Polytechnical University, Xi’an, China
Xin MA – Shandong University, Jinan, China
Najmuldeen Yousif MAHMOOD – University of Technology, Baghdad, Iraq
Arun Kumar MAJUMDER – Indian Institute of Technology, Kharagpur, India
Paweł MALCZYK – Warsaw University of Technology, Poland
Miloš MATEJIĆ – University of Kragujevac, Serbia
Norkhairunnisa MAZLAN – Universiti Putra Malaysia, Serdang, Malaysia
Dariusz MAZURKIEWICZ – Lublin University of Technology, Poland
Florin MINGIREANU – Romanian Space Agency, Bucharest, Romania
Vladimir MITYUSHEV – Pedagogical University of Cracow, Poland
Adis MUMINOVIC – University of Sarajevo, Bosnia and Herzegovina
Baraka Olivier MUSHAGE – Université Libre des Pays des Grands Lacs, Goma, Congo (DRC)
Tomasz MUSZYŃSKI – Gdansk University of Technology, Poland
Mohamed NASR – National Research Centre, Giza, Egypt
Driss NEHARI – University of Ain Temouchent, Algeria
Oleksii NOSKO – Bialystok University of Technology, Poland
Grzegorz NOWAK – Silesian University of Technology, Gliwice, Poland
Iwona NOWAK – Silesian University of Technology, Gliwice, Poland
Samy ORABY – Pharos University in Alexandria, Egypt
Marcin PĘKAL – Warsaw University of Technology, Poland
Bo PENG – University of Huddersfield, United Kingdom
Janusz PIECHNA – Warsaw University of Technology, Poland
Maciej PIKULIŃSKI – Warsaw University of Technology, Poland
T.V.V.L.N. RAO – The LNM Institute of Information Technology, Jaipur, India
Andrzej RUSIN – Silesian University of Technology, Gliwice, Poland
Artur RUSOWICZ – Warsaw University of Technology, Poland
Benjamin SCHLEICH – Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Jerzy SĘK – Lodz University of Technology, Poland
Reza SERAJIAN – University of California, Merced, USA
Artem SHAKLEIN – Udmurt Federal Research Center, Izhevsk, Russia
G.L. SHI – Guangxi University of Science and Technology, Liuzhou, China
Muhammad Faheem SIDDIQUI – Vrije University, Brussels, Belgium
Jarosław SMOCZEK – AGH University of Science and Technology, Cracow, Poland
Josip STJEPANDIC – PROSTEP AG, Darmstadt, Germany
Pavel A. STRIZHAK – Tomsk Polytechnic University, Russia
Vadym STUPNYTSKYY – Lviv Polytechnic National University, Ukraine
Miklós SZAKÁLL – Johannes Gutenberg-Universität Mainz, Germany
Agnieszka TOMASZEWSKA – Gdansk University of Technology, Poland
Artur TYLISZCZAK – Czestochowa University of Technology, Poland
Aneta USTRZYCKA – Institute of Fundamental Technological Research, Warsaw, Poland
Alper UYSAL – Yildiz Technical University, Turkey
Gabriel WĘCEL – Silesian University of Technology, Gliwice, Poland
Marek WĘGLOWSKI – Welding Institute, Gliwice, Poland
Frank WILL – Technische Universität Dresden, Germany
Michał WODTKE – Gdańsk University of Technology, Poland
Marek WOJTYRA – Warsaw University of Technology, Poland
Włodzimierz WRÓBLEWSKI – Silesian University of Technology, Gliwice, Poland
Hongtao WU – Nanjing University of Aeronautics and Astronautics, China
Jinyang XU – Shanghai Jiao Tong University, China
Zhiwu XU – Harbin Institute of Technology, China
Zbigniew ZAPAŁOWICZ – West Pomeranian University of Technology, Szczecin, Poland
Zdzislaw ZATORSKI – Polish Naval Academy, Gdynia, Poland
Wanming ZHAI – Southwest Jiaotong University, Chengdu, China
Xin ZHANG – Wenzhou University of Technology, China
Su ZHAO – Ningbo Institute of Materials Technology and Engineering, China



This page uses 'cookies'. Learn more