Nauki Techniczne

Archive of Mechanical Engineering

Zawartość

Archive of Mechanical Engineering | 2023 | vol. 70 | No 2

Pobierz PDF Pobierz RIS Pobierz Bibtex

Abstrakt

Microvibrations are mechanical oscillations caused by components such as the reaction wheels of an attitude control system of a spacecraft. These microvibrations are transferred through the spacecraft structure onto important instruments (e.g., optical instruments), causing those to produce diminished results (e.g., reduced image quality, imprecise geolocation etc.). At the present state, microvibrations in spacecraft cannot be actively controlled because their very high frequencies of up to 1000 Hz are above the control bandwidth a current attitude control system can provide. However, being able to reduce the effects of microvibrations on a space mission is becoming increasingly more critical as the envelope of future optical satellite missions expands. Furthermore, the advancements made in the performance of small satellites as well as the growing interest in laser and quantum communication call for a cost-efficient solution for managing microvibrations. This paper describes how cheap MEMS-based measurement systems have already proven that they are a potential solution. Showing high sensitivity and low-noise performance while allowing fast and easy prototyping.
Przejdź do artykułu

Bibliografia

[1] ECSS. Micro-vibrations, Space Engineering: Spacecraft Mechanical Loads Analysis Handbook, ECSS-E-HB-32-26A, 2013.
[2] A. Bronowicki. Forensic investigation of reaction wheel nutation on isolator. In 49th AIAA Structures, Structural Dynamics, and Materials Conference, Schaumburg, IL, USA, 7-10 April 2008. doi: 10.2514/6.2008-1953
[3] T. Runte, Z. Perez, and M. Baro. Microvibration engineering – a key to high-performance space missions. In 70th International Astronautical Congress, Washington, D.C., USA, 21-25 Oct. 2019.
[4] C.J. Dennehy. A survey of reaction wheel disturbance modeling approaches for spacecraft line-of-sight jitter performance analysis. In Proceeding of 18 European Space Mechanisms and Tribology Symposium, Munich, Germany, 18-20 Sept. 2019.
[5] H. Heimel. Spacewheel microvibration-sources, appearance, countermeasures. In Proceedings of the 8th International ESA Conference on Guidance & Navigation Control Systems, Karlove Vary, Czech Republic, 5-10 June 2011.
[6] C. Dennehy and O.S. Alvarez-Salazar. Spacecraft micro-vibration: A survey of problems, experiences, potential solutions, and some lessons learned. Technical report, 2018.
[7] M. Manso and M. Bezzeghoud. On-site sensor noise evaluation and detectability in low cost accelerometers. In Proceedings of the 10th International Conference on Sensor Networks – SENSORNETS, pages 100–106. [Online], 9-10 Febr. 2021. doi: 10.5220/0010319001000106.
[8] G. Heinzel, A. Rudiger, and R. Schilling. Spectrum and spectral density estimation by the Discrete Fourier Transform (DFT), including a comprehensive list of window functions and some new flat-top windows. Technical report, 2002.
[9] A. Wiebe. Entwicklung eines Teststandes zur Messung von Mikrovibrationen inklusive Auslegung eines Datenaufnahmesystems. Technical report, 2021.
Przejdź do artykułu

Autorzy i Afiliacje

Antonio Garcia
1
Tim Gust
1
Enes Basata
1
Tim Gersting
1
Michal Deka
1
Sven Thiele
1
Mohammad Salah
1
Matias Bestard Koerner
2
Torben Runte
3
Miguel Gonzalez
3

  1. City University of Applied Sciences Bremen, Institute of Aerospace Technologies, Bremen, Germany
  2. German Aerospace Center – DLR, Institute of Space Systems. Guidance, Navigation and Control Systems. Bremen, Germany
  3. OHB System AG, Bremen, Germany
Pobierz PDF Pobierz RIS Pobierz Bibtex

Abstrakt

Mass Spring Systems (MSS) are often used to simulate the behavior of deformable objects, for example in computer graphics (modeling clothes for virtual characters) or in medicine (surgical simulators that facilitate the planning of surgical operations) due to their simplicity and speed of calculation. This paper presents a new, two-parameter method (TP MSS) of determining the values of spring coefficients for this model. This approach can be distinguished by a constant parameter which is calculated once at the beginning of the simulation, and a variable parameter that must be updated at each simulation step. The value of this variable parameter depends on the shape changes of the elements forming the mesh of the simulated object. The considered mesh is built of elements in the shape of acute-angled triangles. The results obtained using the new model were compared to FEM simulations and the Van Gelder model. The simulation results for the new model were also compared with the results of the bubble inflation test.
Przejdź do artykułu

Bibliografia

[1] J. Bender, M. Muller, M.A. Otaduy, M. Teschner, and M. Macklin. A survey on position-based simulation methods in computer graphics. Computer Graphics Forum, 33(6):228–251, 2014. doi: 10.1111/cgf.12346.
[2] X. Provot. Deformation constraints in a mass-spring model to describe rigid cloth behaviour. In: Proceedings of Graphics Interface '95, pages 147–154, Quebec, Canada, 1995. doi: 10.20380/GI1995.17.
[3] T.I. Vassilev, B. Spanlang, and Y. Chrysanthou. Efficient cloth model and collisions detection for dressing virtual people. In: Proceeding of ACM/EG Games Technology, Hong Kong, 2001.
[4] Z. Cao and B. He. Research of fast cloth simulation based on mass- spring model. In: Proceedings of the 2012 National Conference on Information Technology and Computer Science, pages 467–471, 2012. doi: 10.2991/citcs.2012.121.
[5] A. Nealen, M. Müller, R. Keiser, E. Boxerman, and M. Carlson. Physically based deformable models in computer graphics. Computer Graphics Forum, 25(4):809–836, 2006. doi: 10.1111/j.1467-8659.2006.01000.x.
[6] E. Basafa, F. Farahmand, and G. Vossoughi. A non-linear mass-spring model for more realistic and efficient simulation of soft tissues surgery. Studies in Health Technology and Informatics, 132:23–25, 2008.
[7] S. Xu, X. P. Liu, H. Zhang, and L. Hu. An improved realistic mass-spring model for surgery simulation. In: 2010 IEEE International Symposium on Haptic Audio Visual Environments and Games, Phoenix, USA, 2010. doi: 10.1109/HAVE.2010.5623989.
[8] Y. Nimura, J. D. Qu, Y. Hayashi, M. Oda, T. Kitasaka, M. Hashizume, K. Misawa, and K. Mori. Pneumoperitoneum simulation based on mass-spring-damper models for laparoscopic surgical planning. Journal of Medical Imaging, 2(4):044004, 2015. doi: 10.1117/1.JMI.2.4.044004.
[9] H. Dehghani Ashkezari, A. Mirbagheri, S. Behzadipour, and F. Farahmand. A mass-spring-damper model for real time simulation of the frictional grasping interactions between surgical tools and large organs. Scientia Iranica, 22(5):1833–1841, 2015.
[10] B. Dong, J. Li, G. Yang, X. Cheng, and Q. Gang. A multi-component conical spring model of soft tissue in virtual surgery. IEEE Access, 8:146093–146104, 2020. doi: 10.1109/ACCESS.2020.3014730.
[11] X. Zhang, J. Duan, W. Sun, T. Xu, and S.K. Jha. A three-stage cutting simulation system based on mass-spring model. Computer Modeling in Engineering & Sciences, 127(1):117–133, 2021. doi: 10.32604/cmes.2021.012034.
[12] S. Tudruj and J. Piechna. Numerical analysis of the possibility of using an external air bag to protect a small urban vehicle during a collision. Archive of Mechanical Engineering, 59(3): 257–281, 2012. doi: 10.2478/v10180-012-0013-2.
[13] J. Piechna, T. Janson, P. Sadowski, S. Tudruj, A. Piechna, and L. Rudniak. Numerical study of aerodynamic characteristics of sports car with movable flaps and deformable airbags. In: Proceedings of Automotive Simulation World Congress, Frankfurt, Germany, 2013.
[14] A. Van Gelder. Approximate simulation of elastic membranes by triangulated spring meshes. Journal of Graphics Tools, 3(2):21–41, 1998. doi: 10.1080/10867651.1998.10487490.
[15] P. E. Hammer, M.S. Sacks, P.J. del Nido, and R.D. Howe. Mass-spring model for simulation of heart valve tissue mechanical behavior. Annals of Biomedical Engineering, 39(6):1668–679, 2011. doi: 10.1007/s10439-011-0278-5.
[16] J. Louchet, X. Provo, and D. Crochemore. Evolutionary identification of cloth animation models. In: D. Terzopoulos, D. Thalmann, (eds) Computer Animation and Simulation'95, pages 44–54, Springer, 1995. doi: 10.1007/978-3-7091-9435-5_4.
[17] K. Golec. Hybrid 3D Mass Spring System for Soft Tissue. Modeling and Simulation. Ph.D. Thesis, Université de Lyon, France, 2018.
[18] V. Baudet, M. Beuve, F. Jaillet, B. Shariat, and F. Zara. Integrating tensile parameters. In WSCG’2009, 2009, hal-00994456.
[19] B.A. Lloyd, G. Székely, and M. Harders. Identification of spring parameters for deformable object simulation. IEEE Transactions on Visualization and Computer, 13(5):1081–1094, 2007. doi: 10.1109/TVCG.2007.1055.
[20] S. Natsupakpong and M.C. Çavusoglu. Determination of elasticity parameters in lumped element (mass-spring) models of deformable objects. Graphical Models, 72(6): 61–73, 2010. doi: 10.1016/j.gmod.2010.10.001.
[21] W.P. Jackson. Characterization of Soft Polymers and Gels using the Pressure-Bulge Technique. Ph.D. Thesis, California Institute of Technology, Pasadena, USA, 2008.
[22] L. Wanigasooriya. Mechanical Characterisation and Ram Extrusion of Wheat Flour Dough. Ph.D. Thesis, Imperial College London, UK, 2006.
[23] P. Jaszak. Modelling of the rubber in Finite Element Method. Elastomery, 20(3):31–39, 2016. (in Polish).
[24] R. Jakel. Analysis of hyperelastic materials with MECHANICA. Presentation for 2nd SAXSIM Technische Universität Chemnitz, Germany, 2010.
[25] A. Ali, M. Hosseini, and B.B. Sahari. A review of constitutive models for rubber-like materials. American Journal of Engineering and Applied Sciences, 3(1):232–39, 2010. doi: 10.3844/ajeassp.2010.232.239.
[26] P. Małkowski and Ł. Ostrowski. The methodology for the young modulus derivation for rocks and its value. Procedia Engineering, 191:134–141, 2017. doi: 10.1016/j.proeng.2017.05.164.
[27] Ansys [Online]. Available: www.ansys.com.
[28] M. Kot, H. Nagahashi, and P. Szymczak. Elastic moduli of simple mass spring models. The Visual Computer, 31:1339–1350, 2015. doi: 10.1007/s00371-014-1015-5.
Przejdź do artykułu

Autorzy i Afiliacje

Sylwester Tudruj
1
ORCID: ORCID
Krzysztof Kurec
2
ORCID: ORCID
Janusz Piechna
1
ORCID: ORCID
Konrad Kamieniecki
2
ORCID: ORCID

  1. Warsaw University of Technology, Institute of Aeronautics and Applied Mechanics, Warsaw, Poland
  2. Warsaw University of Technology, Institute of Micromechanics and Photonics, Warsaw, Poland
Pobierz PDF Pobierz RIS Pobierz Bibtex

Abstrakt

The Pump As Turbine (PAT) is an important technology for low-cost micro-hydropower and energy recovery, and hence the internal hydraulics of PAT needs to be clearly understood. Additionally, during its operation, the sediments in the water increase the roughness of the internal surfaces and may alter the internal hydraulics and PAT performance similar to a centrifugal pump or Francis turbine. The researchers tried hard to perform simple modifications such as impeller blade rounding to increase the efficiency of PAT. In this paper, the developed test rig is used to analyze the performance of the impeller blade rounding and is validated with a numerical model. This numerical model is further used to study the influence of impeller blade rounding and surface roughness on internal hydraulics and PAT performance. The impeller blade rounding at the most increased the PAT efficiency by 1-1.5 % at the Best efficiency point (Q=16.8 lps), mainly due to the wake reduction on the suction side and increased flow area. With increasing the surface roughness from 0-70 μm, the PAT efficiency is decreased maximum by 4 %. The efficiency was mainly reduced due to increased hydraulic losses at flow zone and disk friction losses at the non-flow zone.
Przejdź do artykułu

Bibliografia

[1] P. P. Sharma, S. Chatterji, and B. Singh. Techno-economic analysis and modelling of standalone versus grid-connected small hydropower systems–a review of literature. International Journal of Sustainable Energy, 32(1):1–17, 2013. doi: 10.1080/14786451.2011.591492.
[2] S. Mishra, S.K. Singal and, D.K. Khatod. Cost analysis for electromechanical equipment in small hydropower projects. International Journal of Green Energy, 10(8):835–847, 2013. doi: 10.1080/15435075.2012.727367.
[3] M. Binama, W.T. Su, X.B. Li, F.C. Li, X.Z. Wei, and S. An. Investigation on pump as turbine (PAT) technical aspects for micro hydropower schemes: A state-of-the-art review. Renewable and Sustainable Energy Reviews, 79:148–179, 2017. doi: 10.1016/j.rser.2017.04.071.
[4] M.H. Shojaeefard and S. Saremian. Effects of impeller geometry modification on performance of pump as turbine in the urban water distribution network. Energy, 255:124550, 2022. doi: 10.1016/j.energy.2022.124550.
[5] P. Singh. Optimization of internal hydraulics and of system design for pumps as turbines with field implementation and evaluation. Ph.D. Thesis, Karlsruhe University, Germany, 2005.
[6] A. Doshi, S. Channiwala, and P. Singh. Inlet impeller rounding in pumps as turbines: An experimental study to investigate the relative effects of blade and shroud rounding. Experimental Thermal and Fluid Science, 82:333–348, 2017. doi: 10.1016/j.expthermflusci.2016.11.024.
[7] M.A. Ismail and H. Zen. CFD modelling of a pump as turbine (PAT) with rounded leading edge impellers for micro hydro systems. Proc. MATEC Web of Conferences, 87:05004, 2017. doi: 10.1051/matecconf/20178705004.
[8] M. Suarda, N. Suarnadwipa, and W.B. Adnyana. Experimental work on modification of impeller tips of a centrifugal pump as a turbine. Proc. The 2nd Joint International Conference on Sustainable Energy and Environment (SEE 2006), pages 21-25, Bangkok, Thailand, 2006.
[9] H. Yang, L. Zhu, H. Xue, J. Duan, and F. Deng. A numerical analysis of the effect of impeller rounding on centrifugal pump as turbine. Processes, 9(9):1673, 2021. doi: 10.3390/pr9091673.
[10] A. Doshi, S. Channiwala, and P. Singh. Influence of nonflow zone (back cavity) geometry on the performance of pumps as turbines. Journal of Fluids Engineering, 140(12):121107, 2018. doi: 10.1115/1.4040300.
[11] S.-S. Yang, F.Y. Kong, J.-H. Fu, and L. Xue. Numerical research on effects of splitter blades to the influence of pump as turbine. International Journal of Rotating Machinery, 2012:123093. doi: 0.1155/2012/123093.
[12] A. Doshi. I nfluence of impeller inlet rounding and shape of non-flow zones on the performance of pump as turbine. Ph.D. Thesis, Sardar Vallabhbhai National Institute of Technology, Surat, India, 2016.
[13] S. Derakhshan and N Kasaeian. Optimization, numerical, and experimental study of a propeller pump as turbine. Journal of Energy Resources Technology, 136(1):012005, 2014. doi: 10.1115/1.4026312.
[14] S-.S. Yang, H.-L. Liu, F.-Y. Kong, B. Xia, and L.-W. Tan. Effects of the radial gap between impeller tips and volute tongue influencing the performance and pressure pulsations of pump as turbine. Journal of Fluids Engineering, 136(5):054501, 2014. doi: 10.1115/1.4026544.
[15] S.-C. Miao, J.-H. Yang, G.-T. Shi, and T.-T. Wang. Blade profile optimization of pump as turbine. Advances in Mechanical Engineering, 7(9), 2015. doi: 10.1177/1687814015605748.
[16] T. Lin, Z. Zhu, X. Li, J. Li, and Y. Lin. Theoretical, experimental, and numerical methods to predict the best efficiency point of centrifugal pump as turbine. Renewable Energy, 168:31–44, 2021. doi: 10.1016/j.renene.2020.12.040.
[17] D.L. Zariatin, D. Rahmalina, E. Prasetyo, A. Suwandi, and M. Sumardi. The effect of surface roughness of the impeller to the performance of pump as turbine pico power plant. Journal of Mechanical Engineering and Sciences, 13(1):4693–4703, 2019. doi: 10.15282/jmes.13.1.2019.24.0394.
[18] L. Zemanová and P. Rudolf. Flow inside the sidewall gaps of hydraulic machines: a review. Energies, 13(24):6617, 2020. doi: 10.3390/en13246617.
[19] S. Sangal, M.K. Singhal, and R.P. Saini. Hydro-abrasive erosion in hydro turbines: a review. International Journal of Green Energy, 15(4):232–253, 2018. doi: 10.1080/15435075.2018.1431546.
[20] J.F. Santa, J.C. Baena, and A. Toro. Slurry erosion of thermal spray coatings and stainless steels for hydraulic machinery. Wear, 263(1-6):258–264, 2007. doi: 10.1016/j.wear.2006.12.061.
[21] M. Singh, J. Banerjee, P.L. Patel, and H. Tiwari. Effect of silt erosion on Francis turbine: a case study of Maneri Bhali Stage-II, Uttarakhand, India. ISH Journal of Hydraulic Engineering, 19(1):1–10, 2013. doi: 10.1080/09715010.2012.738507.
[22] M. Sharma, D.K. Goyal, and G Kaushal. Tribological investigation of HVOF sprayed coated turbine steel under varied operating conditions. Materials Today: Proceedings, 24(2):869–879, 2020. doi: 10.1016/j.matpr.2020.04.397.
[23] T. Asim and R. Mishra. Large-Eddy-Simulation-based analysis of complex flow structures within the volute of a vaneless centrifugal pump. Sādhanā, 42(4):505–516, 2017. doi: 10.1007/s12046-017-0623-y.
[24] R. Gupta and A. Biswas. CFD analysis of flow physics and aerodynamic performance of a combined three-bucket Savonius and three-bladed Darrieus turbine. International Journal of Green Energy, 8(2):209–233, 2011. doi: 10.1080/15435075.2010.548541.
[25] K. Rogowski, R. Maroński, and J. Piechna. Numerical analysis of a small-size vertical-axis wind turbine performance and averaged flow parameters around the rotor. Archive of Mechanical Engineering, 64(2):205–218, 2017. doi: 0.1515/meceng-2017-0013.
[26] J. Gülich. Centrifugal Pump. Springer, Berlin, 2008.
[27] G. Varghese, T.M. Kumar, and Y.V.N. Rao. Influence of volute surface roughness on the performance of a centrifugal pump. Journal of Fluids Engineering, 100(4):473–476, 1978. doi: 10.1115/1.3448710.
[28] F.A. Varley. Effects of impeller design and surface roughness on the performance of centrifugal pumps. Proceedings of the Institution of Mechanical Engineers, 175(1):955–989, 1961. doi: 10.1243/PIME_PROC_1961_175_062_02.
[29] J.F. Gülich. Disk friction losses of closed turbomachine impellers. Forschung im Ingenieurwesen, 68(2):87–95, 2003. doi: 10.1007/s10010-003-0111-x.
Przejdź do artykułu

Autorzy i Afiliacje

Rahul Gaji
1 2
ORCID: ORCID
Ashish Doshi
2
ORCID: ORCID
Mukund Bade
2
ORCID: ORCID
Punit Singh
3

  1. Annasaheb Dange College of Engineering and Technology, Ashta, India
  2. Sardar Vallabhbhai National Institute of Technology, Surat, India
  3. Centre for Sustainable Technologies, Indian Institute of Science, Bangalore, India
Pobierz PDF Pobierz RIS Pobierz Bibtex

Abstrakt

Bearings are one of the pivotal parts of rotating machines. The health of a bearing is responsible for the hassle-free operation of a machine. As vibration signatures give intimations of machine failure at an earlier stage, mostly vibration-based condition monitoring is used to monitor bearing’s health for avoiding the risk of failure. In this work, a simulation-based approach is adopted to identify surface defects at ball bearing raceways. The vibration data in time and frequency domain is captured by FFT analyzer from an experimental setup. The time frequency domain conversion of a raw time domain data was carried out by wavelet packet transform, as it takes into account the transients and spectral frequencies. The rotor bearing model is simulated in Ansys. Finally, most influencing statistical features were extracted by employing Principal Component Analysis (PCA), and fed to Multiclass Support Vector Machine (MSVM). To train the algorithm, the simulated data is used whereas the data acquired from FFT analyzer is used for testing. It can be concluded that the defects are characterized by Ball Pass Frequency (BPF) at inner race and outer raceway as indicated in the literature. The developed model is capable to monitor bearing’s health which gives an average accuracy of 99%.
Przejdź do artykułu

Bibliografia

[1] Z. Taha and N.T. Dung. Rolling element bearing fault detection with a single point defect on the outer raceway using finite element analysis. The 11th Asia Pacific Industrial Engineering and Management Systems Conference and the 14th Asia Pacific Regional Meeting of International Foundation for Production Research, Melaka, Malaysia, 7-10 Dec. 2010.
[2] P. Jayaswal, S.N. Verma, and A.K. Wadhwani. Development of EBP-Artificial neural network expert system for rolling element bearing fault diagnosis. Journal of Vibration and Control, 17(8):1131–1148, 2011. doi: 10.1177/1077546310361858.
[3] V.V. Rao and Ch. Ratnam. A comparative experimental study on identification of defect severity in rolling element bearings using acoustic emission and vibration analysis. Tribology in Industry, 37(2):176–185, 2015.
[4] S. Shah and A. Guha. Bearing health monitoring. Tribology in Industry, 38(3):297–307, 2016.
[5] C. Ratnam, N.M. Jasmin, V.V. Rao, and K.V. Rao. A comparative experimental study on fault diagnosis of rolling element bearing using acoustic emission and soft computing techniques. Tribology in Industry, 40(3):501–513, 2018. doi: 10.24874/ti.2018.40.03.15.
[6] K. Kappaganthu and C. Nataraj. Modelling and analysis of outer race defects in rolling element bearings. Advances in Vibration Engineering, 11(4):371–384, 2012.
[7] P.K. Kankar, S.C. Sharma, and S.P. Harsha. Fault diagnosis of ball bearings using continuous wavelet transform. Applied Soft Computing, 11(2):2300–2312, 2011. doi: 10.1016/j.asoc.2010.08.011.
[8] A. Sharma, M. Amarnath, and P.K. Kankar. Feature extraction and fault severity classification in ball bearings. Journal of Vibration and Control, 22(1):176–192, 2014. doi: 10.1177/1077546314528021.
[9] V. Hariharan and P.S.S. Srinivasan. Vibration analysis of parallel misaligned shaft with ball bearing system. Sonklanakarin Journal of Science and Technology, 33(1):61–68, 2011.
[10] J.D. Wu and C.H. Liu. An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network. Expert Systems with Applications, 36(3):4278–4286, 2009. doi: 10.1016/j.eswa.2008.03.008.
[11] J.S. Rapur and R.Tiwari. Experimental fault diagnosis for known and unseen operating conditions of centrifugal pumps using MSVM and WPT based analyses. Measurement, 147:106809, 2019. doi: 10.1016/j.measurement.2019.07.037.
[12] C. Cortes and V. Vapnik. Support vector network. Machine Learning, 20(3):273–297, 1995. doi: 10.1007/BF00994018.
[13] S. Damuluri, K. Islam, P. Ahmadi, and N.S. Qureshi. Analyzing navigational data and predicting student grades using support vector machine. Emerging Science Journal, 4(4):243–252, 2020. doi: 10.28991/esj-2020-01227.
[14] R. Tiwari. Rotor Systems: Analysis and Identification. CRC Press, 2017. doi: 10.1201/9781315230962.
[15] V.C. Handikherkar and V.M. Phalle. Gear fault detection using machine learning techniques -- A simulation-driven approach. International Journal of Engineering, 34(1):212–223, 2021. doi: 10.5829/IJE.2021.34.01A.24.
[16] S. Patil and V. Phalle. Fault detection of anti-friction bearing using ensemble machine learning methods. International Journal of Engineering, 31(11):1972–1981, 2018.
[17] A.S. Minhas, G. Singh, J. Singh, P.K. Kankarand, and S. Singh. A novel method to classify bearing faults by integrating standard deviation to refined composite multi-scale fuzzy entropy. Measurement,154:107441, 2020. doi: 10.1016/j.measurement.2019.107441.
[18] www.mfpt.org
Przejdź do artykułu

Autorzy i Afiliacje

Pallavi Khaire
1 2
ORCID: ORCID
Vikas Phalle
1

  1. Veermata Jijabai Technological Institute, Mumbai, India
  2. Fr. C. Rodrigues Institute of Technology, Navi Mumbai, India
Pobierz PDF Pobierz RIS Pobierz Bibtex

Abstrakt

Based on comprehensive interrelated mathematical and graphical-analytical models, including 3D cut layers and simulation of contact, strain, force, and thermal processes during gear hobbing friction forces, heat fluxes, and temperature on the teeth of the hob surface are investigated. Various physical phenomena are responsible for their wear: friction on contact surfaces and thermal flow. These factors act independently of each other; therefore, the worn areas are localized in different active parts of the hob. Friction causes abrasive wear and heat fluxes result in heat softening of the tool. Intense heat fluxes due to significant friction, acting on areas of limited area, lead to temperatures exceeding the critical temperature on certain edges of the high-speed cutter. Simulation results enable identification of high-temperature areas on the working surface of cutting edges, where wear is caused by various reasons, and make it possible to select different methods of hardening these surfaces. To create protective coatings with maximum heat resistance, it is advisable to use laser technologies, electro spark alloying, or plasma spraying, and for coatings that provide reduction of friction on the surfaces – formation of diamond-containing layers with minimum adhesion properties and low friction coefficient on the corresponding surfaces.
Przejdź do artykułu

Bibliografia

1. K.-D. Bouzakis, S. Kombogiannis, A. Antoniadis, and N. Vidakis. Gear hobbing cutting process simulation, and tool wear prediction models. Journal of Manufacturing Science and Engineering, 124(1):42–51, 2002. doi: 10.1115/1.1430236.
2. V. Dimitriou, N. Vidakis, and A Antoniadis. Advanced computer aided design simulation of gear hobbing by means of three-dimensional kinematics modeling. Journal of Manufacturing Science and Engineering, 129(5):911–918, 2007. doi: 10.1115/1.2738947.
3. S.P. Radzevich, and M. Storchak. Advances in Gear Theory and Gear Cutting Tool Design. Springer, Cham, Switzerland, 2022.
4. I. Hrytsay, V. Stupnytskyy, and V. Topchii. Improved method of gear hobbing computer aided simulation. Archive of Mechanical Engineering, 66(4):475–494, 2019. doi: 10.24425/ame.2019.131358.
5. S. Stein, M. Lechthaler, S. Krassnitzer, K. Albrecht, A. Schindler, and M. Arndt. Gear hobbing: a contribution to analogy testing, and its wear mechanisms. Procedia CIRP, 1:220–225, 2012. doi: 10.1016/j.procir.2012.04.039.
6. X. Yang and P. Chen. Heat transfer enhancement strategies for eco-friendly dry hobbing considering the heat exchange capacity of chips. Case Studies in Thermal Engineering, 29, 101716, 2022. doi: 10.1016/j.csite.2021.101716.
7. H. Cao, L. Zhu, X. Li, P. Chen, and Y. Chen. Thermal error compensation of dry hobbing machine tool considering workpiece thermal deformation. International Journal of Advanced Manufacturing Technology, 86:1739–1751, 2016. doi: 10.1007/s00170-015-8314-5.
8. T. Tezel, E.S. Topal, and V. Kovan. Characterising the wear behaviour of DMLS-manufactured gears under certain operating conditions. Wear, 440–441:203106, 2019. doi: 10.1016/j.wear.2019.203106.
9. S. Stark, M. Beutner, F. Lorenz, S. Uhlmann, B. Karpuschewski, and T. Halle. Heat flux, and temperature distribution in gear hobbing operations. Procedia CIRP, 8:456–461, 2013. doi: 10.1016/j.procir.2013.06.133.
10. N. Tapoglou, T. Belis, D. Vakondios, and A. Antoniadis. CAD-based simulation of gear hobbing. 31 International Symposium on Mechanics, and Materials, May 9–14, Greece, 2010.
11. K.D. Bouzakis, K. Chatzis, S. Kombogiannis, and O. Friderikos. Effect of chip geometry, and cutting kinematics on the wear of coated PM HSS tools in milling. Proceedings of the 7th International Conference Coatings in Manufacturing Engineering, pages 197–208, 1–3 October, Chalkidiki, Greece. 2008.
12. K.-D. Bouzakis, E. Lili, N. Michailidis, and O. Friderikos. Manufacturing of cylindrical gears by generating cutting processes: A critical synthesis of analysis methods. CIRP Annals, 57(2):676–696, 2008. doi: 10.1016/j.cirp.2008.09.001.
13. B. Karpuschewski, H.J. Knoche, M. Hipke, and M. Beutner. High performance gear hobbing with powder-metallurgical high-speed-steel. Procedia CIRP, 1:196–201, 2012. doi: 10.1016/j.procir.2012.04.034.
14. B. Karpuschewski, M. Beutner, M. Köchig, and C. Härtling. Influence of the tool profile on the wear behaviour in gear hobbing. CIRP Journal of Manufacturing Science and Technology, 18:128–134, 2018. doi: 10.1016/j.cirpj.2016.11.002.
15. F. Klocke, C. Gorgels, R. Schalaster, and A. Stuckenberg. An innovative way of designing gear hobbing processes. Gear Technology, 1:48–53, 2012.
16. C. Claudin, and J. Rech. Effects of the edge preparation on the tool life in gear hobbing. In Proceedings of the 3rd International Conference on Manufacturing Engineering (ICMEN), pages 57–70, Chalkidiki, Greece, 1–3 October 2008.
17. J. Rech. Influence of cutting edge preparation on the wear resistance in high speed dry gear hobbing. Wear, 261(5-6):505–512, 2006. doi: 10.1016/j.wear.2005.12.007.
18. C. Claudin, and J. Rech. Development of a new rapid characterization method of hob’s wear resistance in gear manufacturing – Application to the evaluation of various cutting edge preparations in high speed dry gear hobbing. Journal of Materials Processing Technology, 209(11):5152–5160, 2009. doi: 10.1016/j.jmatprotec.2009.02.014.
19. B. Hoffmeister. About Wear on the Hob. D.Sc. Thesis, RWTH Aachen, Germany, 1970 (in German).
20. I. Hrytsay, and V. Stupnytskyy. Prediction the durability of hobs based on contact, and friction analysis on the faces for cutting teeth, and edges during hobbing. In: V. Ivanov, J. Trojanowska, I. Pavlenko, J. Zajac, D. Peraković (eds): Advances in Design, Simulation and Manufacturing IV. Lecture Notes in Mechanical Engineering. Springer, 1:405–414, 2021. doi: 10.1007/978-3-030-77719-7_40.
21. F. Klocke. Manufacturing Processes, Cutting. Springer, RWTH edition, 2011.
22. M.P. Mazur, V.M. Vnukov, V.L. Dobroskok, V.O. Zaloga, J.K. Novosiolov, and F.J. Yakubov. Fundamentals of the Theory of Cutting Materials. Novyy Svit, 2011 (in Ukrainian).
23. I. Hrytsay, V. Stupnytskyy, and V. Topchii. Simulation of loading, and wear rate distribution on cutting edges during gears hobbing. Archive of Mechanical Engineering, 68(1):52–76, 2021. doi: 10.24425/ame.2021.137041.
24. A.B. Aleksandrovich, B.D. Danilenko, Y.V. Loshchinin, T.A. Kolyadina, and I.M. Khatsinskaya. Thermophysical properties of low-alloy high-speed steels. Metal Science and Heat Treatment, 30:502–504, 1988. doi: 10.1007/BF00777438.
25. N.G. Abuladze. Character, and the length of tool–chip contact. In Proceedings of the Machinability of Heat-Resistant and Titanium Alloys, pages 68–78, Kuibyshev, S.U., 1962. (in Russian)..
Przejdź do artykułu

Autorzy i Afiliacje

Ihor Hrytsay
1
ORCID: ORCID
Vadym Stupnytskyy
1
ORCID: ORCID

  1. Lviv Polytechnic National University, Lviv, Ukraine
Pobierz PDF Pobierz RIS Pobierz Bibtex

Abstrakt

The article aims at assessing the influence of the drill bit material on the bearing strength of holes made in glass fabric reinforced epoxy composite. Six twists made of widely used drill materials such as high speed steels and carbides in different configurations were selected to drill holes in the composite. In the first stage of the work, optimum drilling parameters were selected and then used for drilling holes in specimens tested in single lap shear experiments. For each tested specimen two different delamination factors, one based on the delamination area and another - on its diameter, were calculated in order to assess the quality of the holes and then compared to the results of the bearing strength experiments. The results of the bearing tests showed that the highest strength was achieved for the high speed steel drill with titanium coating while the lowest for the cemented carbide drill. This finding is in opposition to the majority of results reported in literature.
Przejdź do artykułu

Bibliografia

[1] I.S. Shyha, S.L. Soo, D. Aspinwall, and S. Bradley. Effect of laminate configuration and feed rate on cutting performance when drilling holes in carbon fibre reinforced plastic composites. Journal of Materials Processing Technology, 210(8):1023–1034, 2010. doi: 10.1016/j.jmatprotec.2010.02.011.
[2] L.N. Lopez de Lacalle, A. Lamikiz, F.J. Campa, A.F. Valdivielso, and I. Etxeberria. Design and test of multi-tooth tool for CFRP milling. Journal of Composite Materials, 43(26):3275–3290, 2009. doi: 10.1177/0021998309345354.
[3] X. Cheng, S. Wang, J. Zhang, W. Huang, Y. Cheng, and J. Zhang. Effect of damage on failure mode of multi-bolt composite joints using failure envelope method. Composite Structures, 160:8-15, 2017. doi: 10.1016/j.compstruct.2016.10.042.
[4] S. Gaugel P. Sripathy, A. Haeger, D. Meinhard, T. Bernthaler, F. Lissek, M. Kaufeld, V. Knoblauch, and G. Schneider. A comparative study on tool wear and laminate damage in drilling of carbon-fiber reinforced polymers (CFRP). Composite Structures, 155:173–183, 2016. doi: 10.1016/j.compstruct.2016.08.004.
[5] Y. Turki, M. Hebak, R. Velasco, Z. Aboura, K. Khellil, and P. Vantomme. Experimental investigation of drilling damage and stitching effects on the mechanical behavior of carbon/epoxy composites. International Journal of Machine Tools and Manufacture, 87:61–72, 2014. doi: 10.1016/j.ijmachtools.2014.06.004.
[6] C.C. Tsao, H. Hocheng, and Y.C. Chen. Delamination reduction in drilling composite materials by active backup force. CIRP Annals – Manufacturing Technology, 61(1):91-94, 2012. doi: 10.1016/j.cirp.2012.03.036.
[7] J. Xu. Manufacturing of fibrous composites for engineering applications. Journal of Composites Science, 6(7):187, 2022. doi: 10.3390/jcs6070187.
[8] J. Xu, X. Huang, M. Chen, and J.P. Davim. Drilling characteristics of carbon/epoxy and carbon/polyimide composites. Materials and Manufacturing Processes, 35(15):1732–1740, 2020. doi: 10.1080/10426914.2020.1784935.
[9] D. Geng, Y, Liu, Z. Shao, Z. Lu, J. Cai, X. Li, X. Jiang, and D. Zhang. Delamination formation, evaluation and suppression during drilling of composite laminates: A review. Composite Structures, 216:168–186, 2019. doi: 10.1016/j.compstruct.2019.02.099.
[10] R. Stone and K. Krishnamurthy. A neural network thrust force controller to minimize delamination during drilling of graphite-epoxy laminates. International Journal of Machine Tools and Manufacture, 36(9):985–1003, 1996. doi: 10.1016/0890-6955(96)00013-2.
[11] L. Sorrentino, S. Turchetta, and C. Bellini. A new method to reduce delaminations during drilling of FRP laminates by feed rate control. Composite Structures, 186:154–164, 2018. doi: 10.1016/j.compstruct.2017.12.005.
[12] A. Galińska. Mechanical joining of fibre reinforced polymer composites to metals – A review. Part I: bolted joining. Polymers, 12(10):2252, 2020. doi: 10.3390/polym12102252.
[13] R. Bielawski, M. Kowalik, K. Suprynowicz, W. Rządkowski, and P. Pyrzanowski. Investigation of riveted joints of fiberglass composite materials. Mechanics of Composite Materials, 52:199–210, 2016. doi: 10.1007/s11029-016-9573-4.
[14] P. Dobrzański and W. Oleksiak. Design and analysis methods for composite bonded joints. Transactions on Aerospace Research, 2021(1):45–63, 2021. doi: 10.2478/tar-2021-0004.
[15] C.C. Tsao. Effect of pilot hole on thrust force by saw drill. International Journal of Machine Tools and Manufacture, 47(14):2172–2167, 2007. doi: 10.1016/j.ijmachtools.2007.05.008.
[16] X. Qiu, P. Li, Q. Niu, A. Chen, P. Ouyang, C. Li, and T.J. Ko. Influence of machining parameters and tool structure on cutting force and hole wall damage in drilling CFRP with stepped drills. The International Journal of Advanced Manufacturing Technology, 97:857–865, 2018. doi: 10.1007/s00170-018-1981-2.
[17] A. Guputa, H. Ascroft, and S. Barnes. Effect of chisel edge in ultrasonic assisted drilling of carbon fibre reinforced plastics (CFRP). Procedia CIRP, 46:619–622, 2016. doi: 10.1016/j.procir.2016.04.026.
[18] J. Ramkumar, S. Aravindan, S.K. Malhotra, and R. Krishnamurthy. An enhancement of the machining performance of GFRP by oscillatory assisted drilling. International Journal of Advanced Manufacturing, 23:240–244, 2004. doi: 10.1007/s00170-003-1660-8.
[19] Rampal, G. Kumar, S.M. Rangappa, S. Siengchin, and S. Zafar. A review of recent advancements in drilling of fiber-reinforced polymer composites. Composites Part C: Open Access, 9:100312, 2022. doi: 10.1016/j.jcomc.2022.100312.
[20] H. Heidary and M.A. Mehrpouya. Effect of backup plate in drilling of composite laminates, analytical and experimental approaches. Thin-Walled Structures, 136:323–332, 2019. doi: 10.1016/j.tws.2018.12.035.
[21] U. Koklu and S. Morkavuk. Cryogenic drilling of carbon fiber-reinforced composite (CFRP). Surface Review and Letters, 26(9):1950060, 2019. doi: 10.1142/S0218625X19500604.
[22] J. Xu, C. Li, S. Mi, Q. An, and M. Chen. Study of drilling-induced defects for CFRP composites using new criteria. Composite Structures, 201:1076–1087, 2018. doi: 10.1016/j.compstruct.2018.06.051.
[23] D. Kumar, K.K. Singh. And R. Zitoune. Experimental investigation of delamination and surface roughness in the drilling of GFRP composite material with different drills. Advanced Manufacturing: Polymer & Composites Science, 2(2):47–56, 2016. doi: 10.1080/20550340.2016.1187434.
[24] L.M. Durão, A.G. Magalhães, J.M.R.S. Tavares, and A.T. Marques. Analyzing objects in images for estimating the delamination influence on load carrying capacity of composite laminates. Electronic Letters on Computer Vision and Image Analysis, 7(2):11–21, 2008. doi: 10.5565/rev/elcvia.187.
[25] C.C. Tsao and H. Hocheng. Taguchi analysis of delamination associated with various drill bits in drilling of composite material. International Journal of Machine Tools and Manufacture, 44(10):1085–1090, 2004. doi: 10.1016/j.ijmachtools.2004.02.019.
[26] H. Hocheng and C.C. Tsao. Effects of special drill bits on drilling-induced delamination of composite materials. International Journal of Machine Tools and Manufacture, 46(12-13):1403–1416, 2006. doi: 10.1016/j.ijmachtools.2005.10.004.
[27] X. Qiu, P. Li, C. Li, Q. Niu, A. Chen, P. Ouyang, and T.J. Ko. Study on chisel edge drilling behavior and step drill structure on delamination in drilling CFRP. Composite Structures, 203:404–413, 2018. doi: 10.1016/j.compstruct.2018.07.007.
[28] J.C. Rubio, A.M. Abrao, P.E. Faria, A.E. Correia, J.P. Davim. Effects of high speed in the drilling of glass fibre reinforced plastic: Evaluation of the delamination factor. International Journal of Machine Tools and Manufacture, 48(6):715–720, 2008. doi: 10.1016/j.ijmachtools.2007.10.015.
[29] L. Gemi, S. Morkavuk, U. Koklu, and D.S. Gemi. An experimental study on the effects of various drill types on drilling performance of GFRP composite pipes and damage formation. Composites Part B: Engineering, 172:186–194, 2019. doi: 10.1016/j.compositesb.2019.05.023.
[30] L.M. Durão, D.J.S. Goncalves, J.M.R.S. Tavares, V.H.C. de Albuquerque, A.A. Vieira, and A.T. Marques. Drilling tool geometry evaluation for reinforced composite laminates. Composite Structures, 92(7):1545–1550, 2010. doi: 10.1016/j.compstruct.2009.10.035.
[31] A.T. Marques, L.M. Durão, A.G. Magalhães, J.F. Silva, and J.M.R.S. Tavares. Delamination analysis of carbon fibre reinforced laminates: Evaluation of a special step drill. Composites Science and Technology,, 69(14):2376–2382, 2009. doi: 10.1016/j.compscitech.2009.01.025.
[32] N. Feito, J. Díaz-Álvarez, J. López-Puente, and M.H. Miguelez. Experimental and numerical analysis of step drill bit performance when drilling woven CFRPs. Composite Structures, 184:1147–1155, 2018. doi: 10.1016/j.compstruct.2017.10.061.
[33] A.T. Erturk, F. Vatansever, E. Yarar, and S. Karabay. Machining behavior of multiple layer polymer composite bearing with using different drill bits. Composites Part B: Engineering, 176:107318, 2019. doi: 10.1016/j.compositesb.2019.107318.
[34] M. Mudhukrishnan, P. Hariharan, and K. Palanikmer. Measurement and analysis of thrust force and delamination in drilling glass fiber reinforced polypropylene composites using different drills. Measurement, 149:106973, 2020. doi: 10.1016/j.measurement.2019.106973.
[35] J. Xu, C. Li, M. Chen, M. El Mansori, F. Ren. An investigation of drilling high-strength CFRP composites using specialized drills. International Journal of Advanced Manufacturing Technology, 103 (9-12): 3425-3442, 2019. doi: 10.1007/s00170-019-03753-8.
[36] J. Xu, T. Lin, J.P. Davim, M. Chen, and M. El Mansori. Wear behavior of special tools in the drilling of CFRP composite laminates. Wear, 476:203738, 2021. doi: 10.1016/j.wear.2021.203738.
[37] U. Heisel and T. Pfeifroth. Influence of point angle on drill hole quality and machining forces when drilling CFRP. Procedia CIRP, 1:471–476, 2012. doi: 10.1016/j.procir.2012.04.084.
[38] V.N. Gaitonde, S.R. Karnik, J.C. Rubio, A.E. Correia, A.M. Abrão, and J.P. Davim. Analysis of parametric influence on delamination in high-speed drilling of carbon fiber reinforced plastic composites. International Journal of Machine Tools and Manufacture, 203(1-3):431–438, 2008. doi: 10.1016/j.jmatprotec.2007.10.050.
[39] I.S. Shyha, D.K. Aspinwall, S.L. Soo, and S. Bradley. Drill geometry and operating effects when cutting small diameter holes in CFRP. International Journal of Machine Tools and Manufacture, 49(12-13):1008–1014, 2009. doi: 10.1016/j.ijmachtools.2009.05.009.
[40] D. Iliescu, D. Gehin, M.E. Gutierrez, and F. Girot. Modeling and tool wear in drilling of CFRP. International Journal of Machine Tools and Manufacture, 50(2):204–213, 2010. doi: 10.1016/j.ijmachtools.2009.10.004.
[41] A. Çelik, I. Lazoglu, A. Kara, and F. Kara. Investigation on the performance of SiAlON ceramic drills on aerospace grade CFRP composites. Journal of Materials Processing Technology, 223:39–47, 2015. doi: 10.1016/j.jmatprotec.2015.03.040.
[42] E. Kilickap. Optimization of cutting parameters on delamination based on Taguchi method during drilling of GFRP composite. Expert Systems with Applications, 37(8):6116–6122, 2010. doi: 10.1016/j.eswa.2010.02.023.
[43] N. Feito, A.S. Milani, and A. Muñoz-Sánchez. Drilling optimization of woven CFRP laminates under different tool wear conditions: a multi-objective design of experiments approach. Structural and Multidisciplinary Optimization, 53(2):239–251, 2016. doi: 10.1007/s00158-015-1324-y.
[44] J. Xu, Y. Yin, J.P. Davim, L. Li, M. Ji, N. Geier, and M. Chen. A critical review addressing drilling-induced damage of CFRP composites. Composite Structures, 294:115594, 2022. doi: 10.1016/j.compstruct.2022.115594.
[45] D.I. Poor, N. Geier, C. Pereszlai, and J. Xu. A critical review of the drilling of CFRP composites: Burr formation, characterisation and challenges. Composites Part B: Engineering, 223:109155, 2021. doi: 10.1016/j.compositesb.2021.109155.
[46] V. Krishnaraj, A. Prabukarthi, A. Ramanathan, N. Elanghovan, M.S. Kumar, R. Zitoune, and J.P. Davim. Optimization of machining parameters at high speed drilling of carbon fiber reinforced plastic (CFRP) laminates. Composites Part B: Engineering,. 43(4):1791–1799, 2012. doi: 10.1016/j.compositesb.2012.01.007.
[47] S. Rawat and H. Attia. Characterization of the dry high speed drilling process of woven composites using Machinability Maps approach. CIRP Annals – Manufacturing Technology, 58:105–8, 2009. doi: 10.1016/j.cirp.2009.03.100.
[48] J. Xu, T. Lin, M. Chen, and J.P. Davim. Machining responses of high-strength carbon/epoxy composites using diamond-coated brad spur drills. Materials and Manufacturing Processes, 36(6):722–729, 2021. doi: 10.1080/10426914.2020.1854475.
[49] D. Kumar and K.K. Sing. Experimental analysis of delamination, thrust force and surface roughness on drilling of glass fibre reinforced polymer composites material using different drills. Materials Today: Proceedings, 4(8):7618–7627, 2017. doi: 10.1016/j.matpr.2017.07.095.
[50] U.A. Khashaba, I.A. El-Sonbaty, A.I. Selmy, and A.A. Megahed. Machinability analysis in drilling woven GFR/epoxy composites: Part I – Effect of machining parameters. Composites Part A: Applied Science and Manufacturing, 41(3):391–400, 2010. doi: 10.1016/j.compositesa.2009.11.006.
[51] K. Weinert and C. Kempmann. Cutting temperatures and their effects on the machining behaviour in drilling reinforced plastic composites. Advanced Engineering Materials, 6(8):684-689, 2004. doi: 10.1002/adem.200400025.
[52] A. Dogrusadik and A. Kentli. Comparative assessment of support plates’ influences on delamination damage in micro-drilling of CFRP laminates. Composite Structures, 173:156–167, 2017. doi: 10.1016/j.compstruct.2017.04.031.
[53] D. Liu, Y. Tang, and W.L. Cong. A review of mechanical drilling for composite laminates. Composite Structures, 94(4):1265-1279, 2012. doi: 10.1016/j.compstruct.2011.11.024.
[54] C.A. Schneider, W.S. Rasband, and K.W. Eliceiri. NIH Image to ImageJ: 25 years of image analysis. Nature Methods, 9:671–675, 2012. doi: 10.1038/nmeth.2089.
[55] P. Pieśko and M. Zawada-Michałowska, Influence of technological parameters and type of drill bit on the accuracy of holes machining in carbon fibrous composites. Mechanik, 90(12):1113–1115, 2017. doi: 10.17814/mechanik.2017.12.190.
[56] J. Fernandez-Perez, J.L. Cantero, J. Diaz-Alvarez, and M.H. Miguelez. Influence of cutting parameters on tool wear and hole quality in composite aerospace components drilling. Composite Structures, 178:157–161, 2017. doi: 10.1016/j.compstruct.2017.06.043.
[57] A. Faraz, D. Biermann, and K. Weinert. Cutting edge rounding: An innovative tool wear criterion in drilling CFRP composite laminates. International Journal of Machine Tools and Manufacture, 49(15):1185–1196, 2009. doi: 10.1016/j.ijmachtools.2009.08.002.
[58] X. Wang, X. Shen, C. Zeng, and F. Sun. Combined influences of tool shape and as-deposited diamond film on cutting performance of drills for CFRP machining. Surface and Coatings Technology, 347:390–397, 2018. doi: 10.1016/j.surfcoat.2018.05.024.
Przejdź do artykułu

Autorzy i Afiliacje

Anna Galińska
1
ORCID: ORCID

  1. Warsaw University of Technology, Faculty of Power and Aeronautical Engineering, Warsaw, Poland
Pobierz PDF Pobierz RIS Pobierz Bibtex

Abstrakt

To reduce the recoil and improve the stability of small arms, a muzzle brake compensator is attached to the muzzle of the barrel. This device uses the kinetic energy of the powder gas escaping from the bore after the bullet is fired. In this paper, the authors present the determination of the thermo-gas-dynamic model of the operation of a muzzle brake compensator and an example of calculating this type of muzzle device for the AK assault rifle using 7.62x39 mm ammunition. The results of the calculation allowed for obtaining the parameters of the powder gas flow in the process of flowing out of the muzzle device, as well as the change in the momentum of the powder gas's impact on the muzzle device. The model proposed in the article provides the basis for a quantitative evaluation of the effectiveness of using the muzzle device in stabilizing infantry weapons when firing.
Przejdź do artykułu

Bibliografia

[1] V.V. Alferov. Design and Calculation of Automatic Weapons. Moscow, Mechanical Engineering, 1977 (in Russian).
[2] M. Stiavnicky and P. Lisy. Influence of barrel vibration on the barrel muzzle position at the moment when bullet exits barrel. Advances in Military Technology, 8(1):89–102, 2013.
[3] D.M. Hung. Study on the dynamics of the AGS-17 30mm grenade launcher and the effect of some structural factors on gun stability when fired. PhD Thesis, Military Technical Academy, Hanoi, 2016 (in Vietnamese).
[4] J. Balla. Contribution to determining of load generated by shooting from automatic weapons. International Conference on Military Technologies (ICMT), pages 1–6, Brno, Czech Republic, 30-31 May 2019. doi: 10.1109/MILTECHS.2019.8870116.
[5] V.B. Vo, J. Balla, H.M. Dao, H.T. Truong, D.V. Nguyen, and T.V. Tran. Firing stability of automatic grenade launcher mounted on tripod. International Conference on Military Technologies (ICMT), pages 1–8, Brno, Czech Republic, August 2021. doi: 10.1109/ICMT52455.2021.9502836.
[6] M. Macko, B.V. Vo, and Q.A. Mai. Dynamics of short recoil-operated weapon. Problems of Mechatronics. Armament, Aviation, Safety Engineering, 12(3):9–26, 2021. doi: 10.5604/01.3001.0015.2432.
[7] N.T. Dung, N.V. Dung, T.V. Phuc, and D.D. Linh. biomechanical analysis of the shooter-weapon system oscillation. International Conference on Military Technologies (ICMT), Brno, Czech Republic, pages 48–53, 2017. doi: 10.1109/MILTECHS.2017.7988729.
[8] V.B. Vo, M. Macko, and H.M. Dao. Experimental study of automatic weapon vibrations when burst firing. Problems of Mechatronics. Armament, Aviation, Safety Engineering, 12(4):9–28, 2012. doi: 10.5604/01.3001.0015.5984.
[9] T.D. Van, T.L. Minh, D.N. Thai, D.T. Cong, and P.V. Minh. The application of the design of the experiment to investigate the stability of special equipment. Mathematical Problems in Engineering, 2022: 8562602, 2022. doi: 10.1155/2022/8562602.
[10] Instructions on shooting. Gun shooting basics. 7.62 mm Modernized Kalashnikov assault rifle (AKM and AKMS), 7.62 mm Kalashnikov light machine gun (RPK and RPKS), 7.62 mm Kalashnikov machine gun (PK, PKS, PKB and PKT), 9 mm Makarov pistol. Hand grenades. Military Publishing House of the USSR Ministry of Defense, 1973 (in Russian).
[11] D.N. Zhukov, V.V. Chernov, and M.V. Zharkov. Development of an algorithm for calculating muzzle devices in the CFD package, Fundamentals of ballistic design. All-Russian Scientific and Technical Conference, St. Petersburg, pages 126-129, 2012. (in Russian).
[12] R. Cayzac, E. Carette, and T. Alziary de Roquefort. 3D unsteady intermediate ballistics modelling: Muzzle brake and sabot separation, In Proceedings of the 24th International Symposium on Ballistics, New Orleans, LA, USA, pages 423–430, 2008.
[13] J.S. Li, M. Qiu, Z.Q. Liao, D.P. Xian, and J. Song. Dynamic modeling and simulation of Gatling gun with muzzle assistant-rotating and recoil absorber. Acta Armamentarii, 35(9):1344–1349, 2014. doi: 10.3969/j.issn.1000-1093.2014.09.003.
[14] N.A. Konovalov, O.V. Pilipenko, Yu.A. Kvasha, G.A. Polyakov, A.D. Skorik, and V.I. Kovalenko. On thermo-gas-dynamic processes in devices for reducing the sound level of a small arms shot. Technical Mechanics, pp. 69-81, 2011 (in Russian).
[15] E.N. Patrikov. Mathematical modeling of the functioning process of service weapons in the mode of non-lethal action. Technical Sciences, News of TulGU, pp. 33-39, 2012 (in Russian).
[16] X.Y. Zhao, K.D. Zhou, L. He, Y. Lu, J. Wang, and Q. Zheng. Numerical simulation and experiment on impulse noise in a small caliber rifle with muzzle brake. Shock and Vibration, 2019: 5938034, 2019. doi: 10.1155/2019/5938034.
[17] P.F. Li and X.B. Zhang. Numerical research on adverse effect of muzzle flow formed by muzzle brake considering secondary combustion. Defence Technology, 17(4):1178–1189, 2021. doi: 10.1016/j.dt.2020.06.019.
[18] H.H. Zhang, Z.H. Chen, X.H. Jiang, and H.Zh. Li. Investigations on the exterior flow field and the efficiency of the muzzle brake. Journal of Mechanical Science and Technology, 27: 95–101, 2013. doi: 10.1007/s12206-012-1223-8.
[19] I. Semenov, P. Utkin, I. Akhmedyanov, I. Menshov, and P. Pasynkov. Numerical investigation of near-muzzle blast levels for perforated muzzle brake using high performance computing. International Conference "Parallel and Distributed Computing Systems" PDCS 2013, pages 281–289, Ukraine, Kharkiv, March 13-14, 2013. (in Russian).
[20] S.Q. Uong. Investigating the effect of gas compensator combined with brake device on the stability of automatic hand-held weapons when firing in series by experiment. Military Technical and Technological Science Research, 23:80–83, 2008. (in Vietnamese).
[21] L.E. Mikhailov. Designs of Small Automatic Arms Weapons. Central Research Institute of Information, USSR, 1984. (in Russian).
[22] Theory and Calculation of Automatic Weapons. V.M. Kirillov (editor). Penza: PVAIU, 1973. (in Russian).
[23] V.I. Kulagin and V.I. Cherezov. Gas Dynamics of Automatic Weapons. Central Research Institute of Information, USSR, 1985. (in Russian).
[24] Yu.P. Platonov. Thermo-gas-dynamics of Automatic Weapons. Mechanical Engineering, USSR, 2009. (in Russian).
[25] M.I. Gurevich. Theory of Jets of an Ideal Fluid. Fizmatgiz, USSR, 1961. (in Russian).
[26] Guiding Technical Material, Small Arms, Methods of Thermo-Gas-Dynamic Calculations. RTM-611-74, 1975. (in Russian).
Przejdź do artykułu

Autorzy i Afiliacje

Dung Van Nguyen
1
ORCID: ORCID
Viet Quy Bui
1
ORCID: ORCID
Dung Thai Nguyen
1
ORCID: ORCID
Quyen Si Uong
1
ORCID: ORCID
Hieu Tu Truong
1
ORCID: ORCID

  1. Faculty of Special Equipment, Le Quy Don Technical University, Hanoi, Vietnam

Instrukcja dla autorów

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.

Original high quality papers on the following topics are preferred:

  • Mechanics of Solids and Structures,
  • Fluid Dynamics,
  • Thermodynamics, Heat Transfer and Combustion,
  • Machine Design,
  • Computational Methods in Mechanical Engineering,
  • Robotics, Automation and Control,
  • Mechatronics and Micro-mechanical Systems,
  • Aeronautics and Aerospace Engineering,
  • Heat and Power Engineering.

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

More detailed instructions for Authors can be found there.

Recenzenci


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



Ta strona wykorzystuje pliki 'cookies'. Więcej informacji