Applied sciences

Archive of Mechanical Engineering

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Archive of Mechanical Engineering | 2020 | vol. 67 | No 1

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Abstract

Marine structures are one of the most important industrial and military equipment in each country that should be protected against external forces. The main aim of this paper is a detailed investigation of the underwater explosion (UNDEX) and its effects on marine structures. For this purpose, the UNDEX structure was studied qualitatively and quantitatively using numerical methods. Then, the effects of blast waves on a marine structure reinforced by perpendicular blades were investigated. Finite element and finite volume schemes were used for discretization of the governing equations in the solid and fluid media, respectively. Also, for fluid-structure interaction (FSI), results of fluid and solid media were mapped to each other using the two-way FSI coupling methods. A comparison of numerical results with the empirical formula revealed that the trend of pressure-time curves was reasonable, approving the validity of the numerical method. Moreover, the numerical results indicated that detonation of 1 kg trinitrotoluene (TNT) creates a pressure wave with maximum amplitude of 24 MPa at a distance of 2 m. Also, it was found that the reinforcement blades can be used to improve the resistance of structures against explosive charges, which also results in the reduction of structures deformation.

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Bibliography

[1] B.V. Zamyshlyaev and Y.S. Yakovlev. Dynamic loads in underwater explosion, Naval Intelligence Support Center Washington, D.C, 1973.
[2] N.A. Fleck and V.S. Deshpande. The resistance of clamped sandwich beams to shock loading. Journal of Applied Mechanics, 71(3):386–401, 2004. doi: 10.1115/1.1629109.
[3] X. Qiu, V.S. Deshpande, and N.A. Fleck. Dynamic response of a clamped circular sandwich plate subject to shock loading. Journal of Applied Mechanics, 71(5):637–645, 2004. doi: 10.1115/1.1778416.
[4] L. Ren, H. Ma, Z. Shen, and Y. Wang. Blast response of water-backed metallic sandwich panels subject to underwater explosion – Experimental and numerical investigations. Composite Structures, 209:79–92, 2019. doi: 10.1016/j.compstruct.2018.10.082.
[5] W. Johnson, A. Poynton, H. Singh, and F.W. Travis. Experiments in the underwater explosive stretch forming of clamped circular blanks. International Journal of Mechanical Sciences, 8(4):237–270, 1966. doi: 10.1016/0020-7403(66)90027-0.
[6] W. Cao, Z. He, and W. Chen. Experimental study and numerical simulation of the afterburning of TNT by underwater explosion method. Shock Waves, 24(6):619–624, 2014. doi: 10.1007/s00193-014-0527-2.
[7] K. Liu, Z. Wang, W. Tang, Y. Zhang, and G. Wang. Experimental and numerical analysis of laterally impacted stiffened plates considering the effect of strain rate. Ocean Engineering, 99:44–54, 2015. doi: 10.1016/j.oceaneng.2015.03.007.
[8] J.M. Gordo, C. Guedes Soares, and D. Faulkner. Approximate assessment of the ultimate longitudinal strength of the hull girder. Journal of Ship Research, 40(1):60–69, 1996.
[9] Z. Zhang, L. Wang, and V.V. Silberschmidt. Damage response of steel plate to underwater explosion: Effect of shaped charge liner. International Journal of Impact Engineering, 103:38–49, 2017. doi: 10.1016/j.ijimpeng.2017.01.008.
[10] Z. Jin, C. Yin, Y. Chen, and H. Hua. Numerical study on the interaction between underwater explosion bubble and a moveable plate with basic characteristics of a sandwich structure. Ocean Engineering, 164:508–520, 2018. doi: 10.1016/j.oceaneng.2018.07.001.
[11] C. Xin, G. Xu., and K. Liu. Numerical simulation of underwater explosion loads. Transactions of Tianjin University, 14(suppl.1):519–522, 2008. doi: 10.1007/s12209-008-0089-4.
[12] E. Gauch, J. LeBlanc, and A. Shukla. Near field underwater explosion response of polyurea coated composite cylinders. Composite Structures, 202:836–852, 2018. doi: 10.1016/j.compstruct.2018.04.048.
[13] F. Vannucchi de Camargo. Survey on experimental and numerical approaches to model underwater explosions. Journal of Marine Science and Engineering, 7(1):1–18, 2019. doi: 10.3390/jmse7010015.
[14] B.G. Prusty and S.K. Satsangi. Analysis of stiffened shell for ships and ocean structures by finite element method. Ocean Engineering, 28(6):621–638, 2001. doi: 10.1016/S0029-8018(00)00021-4.
[15] N.K. Gupta, P. Kumar, and S. Hegde. On deformation and tearing of stiffened and un-stiffened square plates subjected to underwater explosion – a numerical study. International Journal of Mechanical Sciences, 52(5):733–744, 2010. doi: 10.1016/j.ijmecsci.2010.01.005.
[16] Z.H. Ma, D.M. Causon, L. Qian, H.B. Gu, C.G. Mingham, and P. Martinez Ferrer. A GPU based compressible multiphase hydrocode for modelling violent hydrodynamic impact problems. Computers & Fluids, 120:1–23, 2015. doi: 10.1016/j.compfluid.2015.07.010.
[17] G. Wang, Y. Wang, W. Lu, W. Zhou, M. Chen, and P. Yan. On the determination of the mesh size for numerical simulations of shock wave propagation in near field underwater explosion. Applied Ocean Research, 59:1–9, 2016. doi: 10.1016/j.apor.2016.05.011.
[18] S. Li, R. Han, A.M. Zhang, and Q.X. Wang. Analysis of pressure field generated by a collapsing bubble. Ocean Engineering, 117:22–38, 2016. doi: 10.1016/j.oceaneng.2016.03.016.
[19] G. Beer. Finite element, boundary element and coupled analysis of unbounded problems in elastostatics. International Journal for Numerical Methods in Engineering, 19(4):567–580, 1983. doi: 10.1002/nme.1620190408.
[20] S.W. Gong and B.C. Khoo. Transient response of stiffened composite submersible hull to underwater explosion bubble. Composite Structures, 122:229–238, 2015. doi: 10.1016/j.compstruct.2014.10.026.
[21] T. De Vuyst, K. Kong, N. Djordjevic, R. Vignjevic, J.C. Campbell, and K. Hughes. Numerical modelling of the effect of using multi-explosives on the explosive forming of steel cones. Journal of Physics: Conference Series, 734:032074, 2016. doi: 10.1088/1742-6596/734/3/032074.
[22] F.R. Ming, A.M. Zhang, Y.Z. Xue, and S.P. Wang. Damage characteristics of ship structures subjected to shockwaves of underwater contact explosions. Ocean Engineering, 117:359–382, 2016. doi: 10.1016/j.oceaneng.2016.03.040.
[23] O. Adibi, A. Azadi, B. Farhanieh, and H. Afshin. A parametric study on the effects of surface explosions on buried high pressure gas pipelines. Engineering Solid Mechanics, 5(4):225–244, 2017. doi: 10.5267/j.esm.2017.9.003.
[24] C. Hesch and P. Betsch. Continuum mechanical considerations for rigid bodies and fluid-structure interaction problems. Archive of Mechanical Engineering, 60(1):95–108, 2013. doi: 10.2478/meceng-2013-0006.
[25] G. Wang and S. Zhang. Damage prediction of concrete gravity dams subjected to underwater explosion shock loading. Engineering Failure Analysis, 39:72–91, 2014. doi: 10.1016/j.engfailanal.2014.01.018.
[26] H. Linsbauer. Hazard potential of zones of weakness in gravity dams under impact loading conditions. Frontiers of Architecture and Civil Engineering in China, 5(1):90–97, 2011. doi: 10.1007/s11709-010-0008-3.
[27] S. Zhang, G. Wang, C. Wang, B. Pang, and C. Du. Numerical simulation of failure modes of concrete gravity dams subjected to underwater explosion. Engineering Failure Analysis, 36:49–64, 2014. doi: 10.1016/j.engfailanal.2013.10.001.
[28] R. Rajendran. Numerical simulation of response of plane plates subjected to uniform primary shock loading of non-contact underwater explosion. Materials & Design, 30(4):1000–1007, 2009. doi: 10.1016/j.matdes.2008.06.054.
[29] A.M. Zhang, L.Y. Zeng, X.D. Cheng, S.P. Wang, and Y. Chen. The evaluation method of total damage to ship in underwater explosion. Applied Ocean Research, 33(4):240–251, 2011. doi: 10.1016/j.apor.2011.06.002.
[30] E. Fathallah, H. Qi, L.Tong, and M. Helal. Numerical simulation and response of stiffened plates subjected to noncontact underwater explosion. Advances in Materials Science and Engineering, 2014:752586, 2014. doi: 10.1155/2014/752586.
[31] J. Qiankun and D. Gangyi. A finite element analysis of ship sections subjected to underwater explosion. International Journal of Impact Engineering, 38(7):558–566, 2011. doi: 10.1016/j.ijimpeng.2010.11.005.
[32] G. Wang, S. Zhang, M. Yu, H. Li, and Y. Kong. Investigation of the shock wave propagation characteristics and cavitation effects of underwater explosion near boundaries. Applied Ocean Research, 46:40–53, 2014. doi: 10.1016/j.apor.2014.02.003.
[33] J. LeBlanc and A. Shukla. The effects of polyurea coatings on the underwater explosive response of composite plates. In S. Gopalakrishnan and Y. Rajapakse, editors, Blast Mitigation Strategies in Marine Composite and Sandwich Structures, pages 53–72, Springer, 2018. doi: 10.1007/978-981-10-7170-6_3.
[34] H. Huang, Q.J. Jiao, J.X. Nie, and J.F. Qin. Numerical modeling of underwater explosion by one-dimensional ANSYS-AUTODYN. Journal of Energetic Materials, 29(4):292–325, 2011. doi: 10.1080/07370652.2010.527898.
[35] A. Schiffer. The response of submerged structures to underwater blast. Ph.D. Thesis, Oxford University, UK, 2013.
[36] R.D. Ambrosini and B.M. Luccioni. Craters produced by explosions on the soil surface. Journal of Applied Mechanics, 73(6):890–900, 2006. doi: 10.1115/1.2173283.
[37] G. Hou, J. Wang, and A. Layton. Numerical methods for fluid-structure interaction – a review. Communications in Computational Physics, 12(2):337–377, 2012. doi: 10.4208/cicp.291210.290411s.
[38] H.-J. Bungartz, M. Mehl, and M. Schäfer. Fluid Structure Interaction II: Modelling, Simulation, Optimization. Springer-Verlag Berlin Heidelberg, 2010.
[39] A. Pazouki, R. Serban, and D. Negrut. A high performance computing approach to the simulation of fluid-solid interaction problems with rigid and flexible components. Archive of Mechanical Engineering, 61(2):227–251, 2014. doi: 10.2478/meceng-2014-0014.
[40] N.K. Birnbaum, J.N. Francis, and B.I. Gerber. Coupled techniques for the simulation of fluid-structure and impact problems. Computer Assisted Mechanics and Engineering Sciences, 6(3/4):295–311, 1999.
[41] P. Sherkar, A.S. Whittaker, and A.J. Aref. Modeling the effects of detonations of high explosives to inform blast-resistant design. Technical Report MCEER-10-0009, 2010.
[42] Y.A. Çengel and M.A. Boles. Thermodynamics: An Engineering Approach. McGraw-Hill, 2002.
[43] J.C. Jo. Fluid-structure interactions. In Y.W. Kwon and P-S. Lam, editors, Pressure Vessels and Piping Systems. Encyclopedia of Life Support Systems (EOLSS), 2004.
[44] M.L. Wilkins. Use of artificial viscosity in multidimensional fluid dynamic calculations. Journal of Computational Physics, 36(3):281–303, 1980. doi: 10.1016/0021-9991(80)90161-8.
[45] D. Kosloff and G.A. Frazier. Treatment of hourglass patterns in low order finite element codes. International Journal for Numerical and Analytical Methods in Geomechanics, 2(1):57–72, 1978. doi: 10.1002/nag.1610020105.
[46] O. Adibi, B. Farhanieh, and H. Afshin. Numerical study of heat and mass transfer in underexpanded sonic free jet. International Journal of Heat and Technology, 35(4):959–968, 2017. doi: 10.18280/ijht.350432.
[47] L.H. Bakken and P.D. Anderson. The complete equation of state handbook. Technical Report SCL-TM-67-118, Sandia Corporation, Livermore, USA, 1967.
[48] G. Baudin and R. Serradeill. Review of Jones-Wilkins-Lee equation of state. EPJ Web of Conferences, 10:00021, 2010. doi: 10.1051/epjconf/20101000021.
[49] A. Dacko and J. Toczyski. Vulnerability analysis of aircraft fuselage subjected to internal explosion. Archive of Mechanical Engineering, 58(4):393–406, 2011. doi: 10.2478/v10180-011-0024-4.
[50] A. Morka, P. Kedzierski, and R. Gieleta. Selected aspects of numerical analysis of layered flexible structures subjected to impact of soft core projectile. Archive of Mechanical Engineering, 62(1):73–83, 2015. doi: 10.1515/meceng-2015-0005.
[51] D.J. Steinberg, S.G. Cochran, and M.W. Guinan. A constitutive model for metals applicable at high-strain rate. Journal of Applied Physics, 51(3):1498–1504, 1980. doi: 10.1063/1.327799.
[52] G.R. Johnson and W.H. Cook. A constitutive model and data for materials subjected to large strains, high strain rates, and high temperatures. Proceedings of 7th International Symposium on Ballistics, pages 541–547, Hague, The Netherlands, 1983.
[53] G.R. Johnson and W.H. Cook. Fracture characteristics of three metals subjected to various strains, strain rates, temperatures and pressures. Engineering Fracture Mechanics, 21(1):31–48, 1985. doi: 10.1016/0013-7944(85)90052-9.
[54] O. Björklund. Modelling of failure. M.Sc. Thesis, Linköping University, Linköping, Sweden, 2008.
[55] L. Mazurkiewicz, J. Malachowski, and P. Baranowski. Blast loading influence on load carrying capacity of I-column. Engineering Structures, 104:107–115, 2015. doi: 10.1016/j.engstruct.2015.09.025.
[56] P. Baranowski, J. Malachowski, and L. Mazurkiewicz. Numerical and experimental testing of vehicle tyre under impulse loading conditions. International Journal of Mechanical Sciences, 106:346–356, 2016. doi: 10.1016/j.ijmecsci.2015.12.028.
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Authors and Affiliations

Arman Jafari Valdani
1
Armen Adamian
1

  1. Department of Mechanical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
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Abstract

The modified configuration of the 155 mm rocket assisted projectile equipped with lateral thrusters was proposed. Six degree of freedom mathematical model was used to investigate the quality of the considered projectile. Impact point prediction guidance scheme intended for low control authority projectile was developed to minimize the dispersion radius. Simple point mass model was applied to calculate the impact point coordinates during the flight. Main motor time delay impact on range characteristics was investigated. Miss distance errors and Circular Error Probable for various lateral thruster total impulse were obtained. Monte-Carlo simulations proved that the impact point dispersion could be reduced significantly when the circular array of 15 solid propellant lateral thrusters was used. Single motor operation time was set to be 0.025~s. Finally, the warhead radii of destruction were analyzed.

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Bibliography

[1] Z. Guodong. The Study of the Modeling simulation for the Rocket-Assisted Cartridge. IOP Conference Series Materials Science and Engineering, 2018. doi: 10.1088/1757-899X/439/4/042038.
[2] F.R. Gantmakher and L.M. Levin. The Flight of Uncontrolled Rockets. Pergamon Press Ltd., 1964.
[3] E. Gagnon and M. Lauzon. Low cost guidance and control solution for in-service unguided 155 mm artillery shell. Technical Report 2008-333, DRDC Valcaltier, Canada, 2009.
[4] E. Gagnon and A. Vachon. Efficiency analysis of Canards-based course correction fuze for a 155-mm spin-stabilized projectile. Journal of Aerospace Engineering, 29(6):04016055, 2016. doi: 10.1061/(ASCE)AS.1943-5525.0000634.
[5] B. Pavkovic, M. Pavic, and D. Cuk. Frequency-modulated pulse-jet control of an artillery rocket. Journal of Spacecraft and Rockets, 49(2):286–294, 2012. doi: 10.2514/1.57432.
[6] B. Pavkovic, M. Pavic and D. Cuk. Enhancing the precision of artillery rockets using pulsejet control systems with active damping. Scientific Technical Review, 62(2):10–19, 2012.
[7] T. Jitpraphai, B. Burchett, and M. Costello. A comparison of different guidance schemes for a direct fire rocket with a pulse jet control mechanism. AIAA Atmospheric Flight Mechanics Conference and Exhibit, Montreal, Canada, 6-9 August, 2001. doi: 10.2514/6.2001-4326.
[8] N. Slegers. Model predictive control of a low speed munition. AIAA Atmospheric Flight Mechanics Conference and Exhibit. Hilton Head, South Carolina, 20-23 August, 2007. doi: 10.2514/6.2007-6583.
[9] D. Corriveau, P. Wey, and C. Berner. Thrusters pairing guidelines for trajectory corrections of projectiles. Journal of Guidance, Control, and Dynamics, 34(4):1120–1128, 2011. doi: 10.2514/1.51811.
[10] D. Corriveau, C. Berner, and V. Fleck. Trajectory correction using impulse thrusters for conventional artillery projectiles. Proceedings of 23rd International Symposium on Ballistics, pages 639–646, Tarragona, Spain, 16-20 April, 2007.
[11] C. Kwiecień. A concept of the air drag law for spherical fragments prepared on the basis of AASTP-1 allied publication data. Issues of Armament Technology, 146(2):73–91, 2018.
[12] A. Faryński, A. Długołęcki and Z. Ziółkowski. Measurements of characteristics of warhead fragments of the 70-mm air-to-ground unguided missile. Bulletin of the Military University of Technology, 57(3):173–180, 2008 (in Polish).
[13] Military Handbook. Missile Flight Simulation. Part One. Surface-to-Air Missiles. Department of Defense, USA, 1995.
[14] F. Fresconi and M. Ilg. Model predictive control of agile projectiles. AIAA Atmospheric Flight Mechanics Conference, Minneapolis, USA, 13-16 August 2012. doi: 10.2514/6.2012-4860.
[15] P. Lichota and J. Szulczyk. Output error method for tiltrotor unstable in hover. Archive of Mechanical Engineering, 64(1):23–36, 2017. doi: 10.1515/meceng-2017-0002.
[16] P. Lichota, J. Szulczyk, M.B. Tischler, and T. Berger. Frequency responses identification from multi-axis maneuver with simultaneous multisine inputs. Journal of Guidance, Control and Dynamics, 42(11):2550–2556, 2019. doi: 10.2514/1.G004346.
[17] T. Jitpraphai and M. Costello. Dispersion reduction of a direct-fire rocket using lateral pulse jets. Journal of Spacecraft and Rockets, 38(6):929–936, 2001. doi: 10.2514/2.3765.
[18] EDePro. 155 mm Hybrid Rocket Assist – Base Bleed Artillery Projectile [Online]. Available: www.edepro.com/files/RABB_catalogue.pdf [20 08 2019].
[19] U.S. Standard Atmosphere. National Aeronautics and Space Administration, Washington, D.C., USA, 1976.
[20] F. Fresconi, G. Cooper, and M. Costello. Practical assessment of real-time impact point estimators for smart weapons. Journal of Aerospace Engineering, 24(1):1–11, 2011. doi: 10.1061/(ASCE)AS.1943-5525.0000044.
[21] A. Elsaadany and Yi Wen-jun. Accurate trajectory prediction for typical artillery projectile. Proceedings of the 33rd Chinese Control Conference, pages 6368–6374, Nanjing, China, 28–30 July, 2014. doi: 10.1109/ChiCC.2014.6896037.
[22] R. McCoy. Modern Exterior Ballistics. Schiffer Publishing, Ltd., 2012.
[23] B. Burchett and M. Costello. Model predictive lateral pulse jet control of an atmospheric rocket. Journal of Guidance, Control, and Dynamics, 25(5):860–867, 2002. doi: 10.2514/2.4979.
[24] L. Hainz III and M. Costello. Modified projectile linear theory for rapid trajectory prediction. Journal of Guidance Control and Dynamics, 28(5):1006–1014, 2005. doi: 10.2514/1.8027.
[25] F. Fresconi. Guidance and control of a projectile with reduced sensor and actuator requirements. Journal of Guidance, Control, and Dynamics, 34(6):1757–1766, 2011. doi: 10.2514/1.53584.
[26] A. Calise and H. El-Shirbiny. An analysis of aerodynamic control for direct fire spinning projectiles. AIAA Guidance, Navigation, and Control Conference and Exhibit, Montreal, Canada, 2001. doi: 10.2514/6.2001-4217.
[27] Y. Zhang, M. Gao, S. Yang, and D. Fang. Optimization of trajectory correction scheme for guided mortar projectiles. International Journal of Aerospace Engineering, 2015:ID618458, 2015. doi: 10.1155/2015/618458.
[28] W. Park, J. Yun, C.-K. Ryoo, and Y. Kim. Guidance law for a modern munition. International Conference on Control, Automation and Systems 2010, pages 2376–2379, Gyeonggi-do, South Korea, 27-30 October, 2010.
[29] M. Gross and M. Costello. Impact point model predictive control of a spin-stabilized projectile with instability protection. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 228(12):2215–2225, 2014. doi: 10.1177/0954410013514743.
[30] J. Rogers. Stochastic model predictive control for guided projectiles under impact area constraints. Journal of Dynamic Systems, Measurement, and Control, 137(3):034503, 2015. doi: 10.1115/1.4028084.
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Authors and Affiliations

Adrian Szklarski
1
Robert Głębocki
1
Mariusz Jacewicz
1

  1. Faculty of Power and Aeronautical Engineering, Warszaw University of Technology, Poland
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Abstract

Natural fiber polymer composites are gaining focus as low cost and light weight composite material due to the availability and ecofriendly nature of the natural fiber. Fiber composites are widely used in civil engineering, marine and aerospace industries where dynamic loads and environmental loads persist. Dynamic analysis of these composites under different loading and environmental conditions is essential before their usage. The present study focuses on the dynamic behavior of areca nut husk reinforced epoxy composites under different loading frequencies (5 Hz, 10 Hz and 15 Hz) and different temperatures (ranging from 28ºC to 120ºC). The effect of loading and temperature on storage modulus, loss modulus and glass transition temperature was analyzed. Increase in storage modulus is observed with increase in loading frequency. The storage modulus decreases with increase in temperature. The glass transition temperature of the composite is determined to be 105ºC. The elastic modulus calculated from the DMA data is compared with three point bending test.

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Bibliography

[1] S.E. Zeltmann, K.A. Prakash, M. Doddamani, and N. Gupta. Prediction of modulus at various strain rates from dynamic mechanical analysis data for polymer matrix composites. Composites Part B: Engineering, 120:27–34, 2017. doi: 10.1016/j.compositesb.2017.03.062.
[2] X. Xu, C. Koomson, M. Doddamani, R.K. Behera, and N. Gupta. Extracting elastic modulus at different strain rates and temperatures from dynamic mechanical analysis data: A study on nanocomposites. Composites Part B: Engineering, 159:346–354, 2018. doi: 10.1016/j.compositesb.2018.10.015.
[3] Q. Fu, Y. Xie, G. Long, D. Niu, and H. Song. Dynamic mechanical thermo-analysis of cement and asphalt mortar. Powder Technology, 313:36–43, 2017. doi: 10.1016/j.powtec.2017.02.058.
[4] S.K. Adhikary, Z. Rudzionis, A. Balakrishnan, and V. Jayakumar. Investigation on the mechanical properties and post-cracking behavior of polyolefin fiber reinforced concrete. Fibres, 7(1):8, 2019. doi: 10.3390/fib7010008.
[5] S. Mindess and A.J Boyd. High performance fibre reinforced concrete. In: Advances in Building Technology. Proceedings of the International Conference on Advances in Building Technology, vol. 1, pages 873–880, Hong Kong, China, 4–6 Dec. 2002.
[6] B. Boulekbache, M. Hamrat, M. Chemrouk, and S. Amziane. Flowability of fibre-reinforced concrete and its effect on the mechanical properties of the material. Construction and Building Materials, 24(9):1664–1671, 2010. doi: 10.1016/j.conbuildmat.2010.02.025.
[7] P.V. Peltonen. Characterization and testing of fibre-modified bitumen composites. Journal of Material Science, 26:5618–5622, 1991. doi: 10.1007/BF02403965.
[8] M.B. Hoque, Solaiman, A.B.M. Hafizul Alam, H. Mahmud, and A. Nobi. Mechanical, degradation and water uptake properties of fabric reinforced polypropylene based composites: effect of alkali on composites. Fibres, 6(4):94, 2018. doi: 10.3390/fib6040094.
[9] S. Ahmed and C.A. Ulven. Dynamic in-situ observation on the failure mechanism of flax fiber through scanning electron microscopy. Fibers, 6(1):17, 2018. doi: 10.3390/fib6010017.
[10] V. Vilay, M. Mariatti, R.M. Taib, and M. Todo. Effect of fiber surface treatment and fiber loading on the properties of bagasse fiber-reinforced unsaturated polyester composites. Composite Science and Technology, 68(3-4):631–638, 2008. doi: 10.1016/j.compscitech.2007.10.005.
[11] S. Mohanty, S.K. Verma, and S.K. Nayak. Dynamic mechanical and thermal properties of MAPE treated jute/HDPE composites. Composite Science and Technology, 66(3-4):538–547, 2006. doi: 10.1016/j.compscitech.2005.06.014.
[12] S.K. Saw, G. Sarkhel, and A. Choudhury. Dynamic mechanical analysis of randomly oriented short bagasse/coir hybrid fibre-reinforced epoxy novolac composites. Fibers Polymers, 12(4):506–513, 2011. doi: 10.1007/s12221-011-0506-5.
[13] Y. Lazim, S.M. Salit, E.S. Zainudin, M. Mustapha, and M. Jawaid. Effect of alkali treatment on the physical, mechanical, and morphological properties of waste betel nut (Areca catechu) husk fibre. BioResources, 9(4):7721-7736, 2014. doi: 10.15376/biores.9.4.7721-7736.
[14] N. Muralidhar, V. Kaliveeran, V. Arumugam, and I. Srinivasula Reddy. A Study on areca nut husk fibre extraction, composite panel preparation and mechanical characteristics of the composites. Journal of The Institution of Engineers (India): Series D, 100:135–145, 2019. doi: 10.1007/s40033-019-00186-1.
[15] S. Nayak, J.R. Mohanty, P.R. Samal, and B.K. Nanda. Polyvinyl chloride reinforced with areca sheath fiber composite – An experimental study. Journal of Natural Fibers, 2018. doi: 10.1080/15440478.2018.1534186.
[16] M. Jawaid, H.P.S. Abdul Khalil, A. Hassan, R. Dungani, and A. Hadiyane. Effect of jute fibre loading on tensile and dynamic mechanical properties of oil palm epoxy composites. Composites Part B: Engineering, 45(1):619–624, 2013. doi: 10.1016/j.compositesb.2012.04.068.
[17] V.G. Geethamma, G. Kalaprasad, G. Groeninckx, and S. Thomas. Dynamic mechanical behavior of short coir fiber reinforced natural rubber composites. Composites Part A: Applied Science and Manufacturing, 36(11):1499–1506, 2005. doi: 10.1016/j.compositesa.2005.03.004.
[18] L.A. Pothan, Z. Oommen, and S. Thomas. Dynamic mechanical analysis of banana fiber reinforced polyester composites. Composites Science and Technology, 63(2):283–293, 2003. doi: 10.1016/S0266-3538(02)00254-3.
[19] M. Ramesh. Flax ( Linum usitatissimum L.) fibre reinforced polymer composite materials: A review on preparation, properties and prospects. Progress in Materials Science, 102:109–166, 2019. doi: 10.1016/j.pmatsci.2018.12.004.
[20] S. Dhanalakshmi, B. Basavaraju, and P. Ramadevi. Areca fibre reinforced polypropylene composites: influence of mercerisation on the tensile behavior. International Journal of Material Science and Manufacturing Engineering, 41(2):2051–6851, 2014.
[21] C.V. Srinivasa, A. Arifulla, N. Goutham, T. Santhosh, H.J. Jaeethendra, R.B. Ravikumar, S.G. Anil, D.G. Santhosh Kumar, and J. Ashish. Static bending and impact behaviour of areca fibers composites. Materials & Design, 32(4):2469–2475, 2011. doi: 10.1016/j.matdes.2010.11.020.
[22] L. Mohammed, M.N.M. Ansari, G. Pua, M. Jawaid, and M.S. Islam. A review on natural fiber reinforced polymer composite and its applications. International Journal of Polymer Science, ID243947, 2015. doi: 10.1155/2015/243947.
[23] E. Jayamani, S. Hamdan, Md R. Rahman, and M. Khusairy Bin Bakri. Investigation of fibre surface treatment on mechanical, acoustical and thermal properties of betelnut fibre polyester composites. Procedia Engineering, 97:545–554, 2014. doi: 10.1016/j.proeng.2014.12.282.
[24] K.P. Menard. Dynamic Mechanical Analysis. A practical Introduction. 2nd ed., CRC Press, Boca Raton, 2008.
[25] D. Shanmugam, M. Thiruchitrambalam. Static and dynamic mechanical properties of alkali treated unidirectional continuous Palmyra Palm Leaf Stalk Fiber/jute fiber reinforced hybrid polyester composites. Materials & Design, 50:533-542, 2013. doi: 10.1016/j.matdes.2013.03.048.
[26] P. Vimalanathan, N. Venkateshwaran, S.P. Srinivasan, V. Santhanam, and M. Rajesh. Impact of surface adaptation and Acacia nilotica biofiller on static and dynamic properties of sisal fiber composite. International Journal of Polymer Analysis and Characterization, 23(2):99–112, 2018. doi: 10.1080/1023666X.2017.1387689.
[27] D.O. Obada, L.S. Kuburi, M. Dauda, S. Umaru, D. Dodoo-Arhin, M.B. Balogun, I. Iliyasu, and M.J. Iorpenda. Effect of variation in frequencies on the viscoelastic properties of coir and coconut husk powder reinforced polymer composites. Journal of King Saud University – Engineering Sciences, 32(2):148–157, 2020. doi: 10.1016/j.jksues.2018.10.001.
[28] N. Rajini, J.T.W. Jappes, P. Jeyaraj, S. Rajakarunakaran, and C. Bennet. Effect of montmorillonite nanoclay on temperature dependence mechanical properties of naturally woven coconut sheath/polyester composite. Journal of Reinforced Plastics and Composites, 32(11):811–822, 2013. doi: 10.1177/0731684413475721.
[29] Dipa Ray, B.K. Sarkar, S. Das, and A.K. Rana. Dynamic mechanical and thermal analysis of vinylester-resin-matrix composites reinforced with untreated and alkali-treated jute fibres. Composites Science and Technology, 62(7-8):911–917, 2002. doi: 10.1016/S0266-3538(02)00005-2.
[30] P. Vimalanathan, N. Venkateshwaran, and V. Santhanam. Mechanical, dynamic mechanical, and thermal analysis of Shorea robusta-dispersed polyester composite. International Journal of Polymer Analysis and Characterization, 21(4):314–326, 2016. doi: 10.1080/1023666X.2016.1155818.
[31] M.S. Huda, L.T. Drzal, A.K. Mohanty, M. Misra. Effect of fiber surface-treatments on the properties of laminated biocomposites from poly(lactic acid) (PLA) and kenaf fibers. Composites Science and Technology, 68(2):424–432, 2008. doi : 10.1016/j.compscitech.2007.06.022.
[32] J.M. Gere and S.P.Timoshenko. Mechanics of Materials. 2nd ed. PWS Publishers, Boston, 1984.
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Authors and Affiliations

N. Muralidhar
1
Kaliveeran Vadivuchezhian
1
V. Arumugam
2
I. Srinivasula Reddy
1

  1. Department of Applied Mechanics and Hydraulics, National Institute of Technology Karnataka, Mangalore, India.
  2. Department of Aerospace Engineering, Madras Institute of Technology, Anna University, Chennai, India.
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Abstract

Hard turning is a machining process that is widely used in the precision mechanical industry. The characterization of the functional surface texture by the ISO 13565 standard holds a key role in automotive mechanics. Until now, the impact of cutting conditions during hard turning operation on the bearing area curve parameters has not been studied (ISO 13565). The three parameters Rpk , Rk and Rvk illustrate the ability of the surface texture to resist friction. In this work, the main objective is to study the impact of cutting conditions (Vc, f and ap) of the hard turning on three parameters of the bearing area curve. The statistical study based on response surface methodology (RSM), analysis of variance (ANOVA) and quadratic regression were performed to model the three output parameters and optimize the input parameters. The experimental design used in this study is the Taguchi L25 orthogonal array. The results obtained show that the cutting speed has a greater effect on the bearing ratio curve (Rpk , Rk and Rvk ) parameters with a percentage contribution of 37.68%, 37.65% and 36.91%, respectively. The second significant parameter is the feed rate and the other parameter is significant only in relation to Rpk and Rk parameters.

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Bibliography

[1] W. Grzesik and K. Żak. Modification of surface finish produced by hard turning using superfinishing and burnishing operations. Journal of Materials Processing Technology, 212(1):315–322, 2012. doi: 10.1016/j.jmatprotec.2011.09.017.
[2] W. Grzesik and T. Wanat. Comparative assessment of surface roughness produced by hard machining with mixed ceramic tools including 2D and 3D analysis. Journal of Materials Processing Technology, 169(3):364–371, 2005. doi: 10.1016/j.jmatprotec.2005.04.080.
[3] B. Fnides, H. Aouici, M. Elbah, S. Boutabba, and L. Boulanouar. Comparison between mixed ceramic and reinforced ceramic tools in terms of cutting force components modelling and optimization when machining hardened steel AISI 4140 (60 HRC). Mechanics & Industry, 16(6):609, 2015. doi: 10.1051/meca/2015036.
[4] H. Aouici, H. Bouchelaghem, M.A. Yallese, M. Elbah, and B. Fnides. Machinability investigation in hard turning of AISI D3 cold work steel with ceramic tool using response surface methodology. The International Journal of Advanced Manufacturing Technology, 73(9-12):1775–1788, 2014. doi: 10.1007/s00170-014-5950-0.
[5] M. Dogra, V.S. Sharma, A. Sachdeva, N.M. Suri, and J.S. Dureja. Tool wear, chip formation and workpiece surface issues in CBN hard turning: A review. International Journal of Precision Engineering and Manufacturing, 11(2):341–358, 2010. doi: 10.1007/s12541-010-0040-1.
[6] V. Bhemuni, S.R. Chalamalasetti, P.K. Konchada, and V.V. Pragada. Analysis of hard turning process: thermal aspects. Advances in Manufacturing, 3(4):323–330, 2015. doi: 10.1007/s40436-015-0124-3.
[7] F. Klocke, E. Brinksmeier, and K. Weinert. Capability profile of hard cutting and grinding processes. CIRP Annals, 54(2):22–45, 2005. doi: 10.1016/S0007-8506(07)60018-3.
[8] A. Khellouki, J. Rech, and H. Zahouani. The effect of lubrication conditions on belt finishing. International Journal of Machine Tools and Manufacture, 50(10):917–921, 2010. d oi: 10.1016/j.ijmachtools.2010.04.004.
[9] K. Mondal, S. Das, B. Mandal, and D. Sarkar. An investigation on turning hardened steel using different tool inserts. Materials and Manufacturing Processes, 31(13):1770–1781, 2016. doi: 10.1080/10426914.2015.1117634.
[10] C. Duan, F. Zhang, W. Sun, X. Xu, and M. Wang. White layer formation mechanism in dry turning hardened steel. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 12(2):1–12, 2018. doi: 10.1299/jamdsm.2018jamdsm0044.
[11] P. Revel, N. Jouini, G. Thoquenne, and F. Lefebvre. High precision hard turning of AISI 52100 bearing steel. Precision Engineering, 43:24–34, 2016. doi: 10.1016/j.precisioneng.2015.06.006.
[12] S. Saini, I. Singh Ahuja, and V.S. Sharma. Influence of cutting parameters on tool wear and surface roughness in hard turning of AISI H11 tool steel using ceramic tools. International Journal of Precision Engineering and Manufacturing, 13(8):1295–1302, 2012. doi: 10.1007/s12541-012-0172-6.
[13] D. Manivel and R. Gandhinathan. Optimization of surface roughness and tool wear in hard turning of austempered ductile iron (grade 3) using Taguchi method. Measurement, 93:108–116, 2016. doi: 10.1016/j.measurement.2016.06.055.
[14] G. Bartarya and S.K. Choudhury. Effect of cutting parameters on cutting force and surface roughness during finish hard turning AISI52100 grade steel. Procedia CIRP, 1:651–656, 2012. doi: 10.1016/j.procir.2012.05.016.
[15] H. Aouici, M.A. Yallese, K. Chaoui, T. Mabrouki, and J.F. Rigal. Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization. Measurement, 45(3):344–353, 2012. doi: 10.1016/j.measurement.2011.11.011.
[16] M.W. Azizi, S. Belhadi, M.A. Yallese, T. Mabrouki, and J.F. Rigal. Surface roughness and cutting forces modeling for optimization of machining condition in finish hard turning of AISI 52100 steel. Journal of Mechanical Science and Technology, 26(12):4105–4114, 2012. doi: 10.1007/s12206-012-0885-6.
[17] S.K. Shihab, Z.A. Khan, A.N. Siddiquee, and N.Z. Khan. A novel approach to enhance performance of multilayer coated carbide insert in hard turning. Archive of Mechanical Engineering, 62(4):539–552, 2015. doi: 10.1515/meceng-2015-0030.
[18] N. Jouini, P. Revel, P.E. Mazeran, and M. Bigerelle. The ability of precision hard turning to increase rolling contact fatigue life. Tribology International, 59:141–146, 2013. doi: 10.1016/j.triboint.2012.07.010.
[19] N. Jouini, P. Revel, G. Thoquenne, and F. Lefebvre. Characterization of surfaces obtained by precision hard turning of AISI 52100 in relation to RCF life. Procedia Engineering, 66:793–802, 2013. doi: 10.1016/j.proeng.2013.12.133.
[20] N. Jouini, P. Revel, and M. Bigerelle. Relevance of roughness parameters of surface finish in precision hard turning. Scanning, 36(1):86–94, 2014. doi: 10.1002/sca.21100.
[21] G. Rotella, D. Umbrello, O.W. Dillon Jr., and I.S. Jawahir. Evaluation of process performance for sustainable hard machining. Journal of Advanced Mechanical Design, Systems, and Manufacturing, 6(6):989–998, 2012. doi: 10.1299/jamdsm.6.989.
[22] I. Meddour, M.A. Yallese, R. Khattabi, M. Elbah, and L. Boulanouar. Investigation and modeling of cutting forces and surface roughness when hard turning of AISI 52100 steel with mixed ceramic tool: cutting conditions optimization. The International Journal of Advanced Manufacturing Technology, 77(5-8):1387–1399, 2014. doi: 10.1007/s00170-014-6559-z.
[23] I. Meddour, M.A. Yallese, H. Bensouilah, A. Khellaf, and M. Elbah. Prediction of surface roughness and cutting forces using RSM, ANN, and NSGA-II in finish turning of AISI 4140 hardened steel with mixed ceramic tool. The International Journal of Advanced Manufacturing Technology, 97(5-8):1931–1949, 2018. doi: 10.1007/s00170-018-2026-6.
[24] S. Siraj, H.M. Dharmadhikari, and N. Gore. Modeling of roughness value from tribological parameters in hard turning of AISI 52100 steel. Procedia Manufacturing, 20:344–349, 2018. doi: 10.1016/j.promfg.2018.02.050.
[25] H. Bensouilah, H. Aouici, I. Meddour, M.A. Yallese, T. Mabrouki, and F. Girardin. Performance of coated and uncoated mixed ceramic tools in hard turning process. Measurement, 82:1–18, 2016. doi: 10.1016/j.measurement.2015.11.042.
[26] E. Yücel and M. Günay. Modelling and optimization of the cutting conditions in hard turning of high-alloy white cast iron (Ni-Hard). Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 227(10):2280–2290, 2012. doi: 10.1177/0954406212471755.
[27] M. Elbah, H. Aouici, I. Meddour, M.A. Yallese, and L. Boulanouar. Application of response surface methodology in describing the performance of mixed ceramic tool when turning AISI 4140 steel. Mechanics & Industry, 17(3):309, 2016. doi: 10.1051/meca/2015076.
[28] L. Bouzid, M.A. Yallese, K. Chaoui, T. Mabrouki, and L. Boulanouar. Mathematical modeling for turning on AISI 420 stainless steel using surface response methodology. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229(1):45–61, 2014. doi: 10.1177/0954405414526385.
[29] A. Agrawal, S. Goelb, W. Bin Rashid, and M. Pric. Prediction of surface roughness during hard turning of AISI 4340 steel (69 HRC). Applied Soft Computing, 30:279–286, 2015. doi: 10.1016/j.asoc.2015.01.059.
[30] A. Alok and M. Das. Multi-objective optimization of cutting parameters during sustainable dry hard turning of AISI 52100 steel with newly develop HSN$^2$-coated carbide insert. Measurement, 133:288–302, 2019. doi: 10.1016/j.measurement.2018.10.009.
[31] O. Zerti, M.A. Yallese, R. Khettabi, K. Chaoui, and T. Mabrouki. Design optimization for minimum technological parameters when dry turning of AISI D3 steel using Taguchi method. The International Journal of Advanced Manufacturing Technology, 89(5-8):1915–1934, 2017. doi: 10.1007/s00170-016-9162-7.
[32] S. Chinchanikar and S.K. Choudhury. Effect of work material hardness and cutting parameters on performance of coated carbide tool when turning hardened steel: An optimization approach. Measurement, 46(4):1572–1584, 2013. doi: 10.1016/j.measurement.2012.11.032.
[33] A. Alok and M. Das. Cost effective way of hard turning with newly developed HSN2 coated tool. Materials and Manufacturing Processes, 33(9):1003–1010, 2018. doi: 10.1080/10426914.2017.1388521.
[34] Z. Hessainia, M.A. Yallese, L. Bouzid, and T. Mabrouki. On the application of response surface methodology for predicting and optimizing surface roughness and cutting forces in hard turning by PVD coated insert. International Journal of Industrial Engineering Computations, 6(2):267–284, 2015. doi: 10.5267/j.ijiec.2014.10.003.
[35] İ. Asiltürk and H. Akkuş. Determining the effect of cutting parameters on surface roughness in hard turning using the Taguchi method. Measurement, 44(9):1697–1704, 2011. doi: 10.1016/j.measurement.2011.07.003.
[36] T. Kıvak. Optimization of surface roughness and flank wear using the Taguchi method in milling of Hadfield steel with PVD and CVD coated inserts. Measurement, 50:19–28, 2014. doi: 10.1016/j.measurement.2013.12.017.
[37] T. Kıvak, G. Samtaş, and A. Çiçek. Taguchi method based optimization of drilling parameters in drilling of AISI 316 steel with PVD monolayer and multilayer coated HSS drills. Measurement, 45(6):1547–1557, 2012. doi: 10.1016/j.measurement.2012.02.022.
[38] M. Nalbant, H. Gökaya, and G. Sur. Application of Taguchi method in the optimization of cutting parameters for surface roughness in turning. Materials & Design, 28(4):1379–1385, 2007. doi: 10.1016/j.matdes.2006.01.008.
[39] R. Shetty, R.B. Pai, S.S. Rao, and R. Nayak. Taguchi's technique in machining of metal matrix composites. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 31(1):12–20, 2009. doi: 10.1590/S1678-58782009000100003.
[40] A. Khellouki, J. Rech, and H. Zahouani. The effect of abrasive grain's wear and contact conditions on surface texture in belt finishing. Wear, 263(1-6):81–87, 2007. doi: 10.1016/j.wear.2006.11.037.
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Authors and Affiliations

Amine Hamdi
1 2
Sidi Mohammed Merghache
2
Toufik Aliouane
1

  1. Laboratory of Applied Optics (LAO), Institute of Optics and Precision Mechanics, University Ferhat Abbas Setif 1, 19000, Algeria.
  2. Institute of Sciences & Technology, University Center of Tissemsilt, 38000, Algeria.
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Abstract

This article concerns fully developed laminar flow of a viscous incompressible fluid in a long composite cylindrical channel. Channel consist of three regions. Outer and inner regions are of uniform permeability and mid region is a clear region. Brinkman equation is used as a governing equation of motion in the porous region and Stokes equation is used for the clear fluid region. Analytical expressions for velocity profiles, rate of volume flow and shear stress on the boundaries surface are obtained and exhibited graphically. Effect of permeability variation parameter on the flow characteristics has been discussed.

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Bibliography

[1] A.K. Al-Hadhrami, L. Elliot, D.B. Ingham, and X. Wen. Analytical solutions of fluid flows through composite channels. Journal of Porous Media, 4(2), 2001. doi: 10.1615/JPorMedia.v4.i2.50.
[2] A.K. Al-Hadhrami, L. Elliot, D.B. Ingham, and X. Wen. Fluid flows through two-dimensional channel of composite materials. Transport in Porous Media, 45(2):281–300, 2001. doi: 10.1023/A:1012084706715.
[3] A. Haji-Sheikh and K. Vafai. Analysis of flow and heat transfer in porous media imbedded inside various-shaped ducts. International Journal of Heat and Mass Transfer, 47(8-9):1889–1905, 2004. doi: 10.1016/j.ijheatmasstransfer.2003.09.030.
[4] A.V. Kuznetsov. Analytical investigation of Couette flow in a composite channel partially filled with a porous medium and partially with a clear fluid. International Journal of Heat and Mass Transfer, 41(16):2556–2560, 1998. doi: 10.1016/S0017-9310(97)00296-2.
[5] C.Y. Wang. Analytical solution for forced convection in a semi-circular channel filled with a porous medium. Transport in Porous Media, 73(3):369–378, 2008. doi: 10.1007/s11242-007-9177-5.
[6] D.A. Nield, S.L.M. Junqueira, and J.L. Lage. Forced convection in a fluid-saturated porous medium channel with isothermal or isoflux boundaries. Journal of Fluid Mechanics, 322:201–214, 1996. doi: 10.1017/S0022112096002765.
[7] H.C. Brinkman. On the permeability of media consisting of closely packed porous particles. Applied Scientific Research, 1:81–86, 1949. doi: 10.1007/BF02120318.
[8] I. Pop and P. Cheng. Flow past a circular cylinder embedded in a porous medium based on the Brinkman model. International Journal of Engineering Science, 30(2):257–262, 1992. doi: 10.1016/0020-7225(92)90058-O.
[9] K. Hooman and H. Gurgenci. A theoretical analysis of forced convection in a porous saturated circular tube: Brinkman-Forchheimer model. Transport in Porous Media, 69:289–300, 2007. doi: 10.1007/s11242-006-9074-3.
[10] K. Vafai and S.J. Kim. Forced convection in a channel filled with a porous medium: An exact solution. Journal of Heat Transfer, 111(4):1103–1106, 1989. doi: 10.1115/1.3250779.
[11] M. Kaviany. Laminar flow through a porous channel bounded by isothermal parallel plates. International Journal of Heat and Mass Transfer, 28(4):851–858, 1985. doi: 10.1016/0017-9310(85)90234-0.
[12] M. Parang and M. Keyhani. Boundary effects in laminar mixed convection flow through an annular porous medium. Journal of Heat Transfer, 109(4):1039–1041, 1987. doi: 10.1115/1.3248179.
[13] P. Vadasz. Fluid flow through heterogenous porous media in a rotating square channel. Transport in Porous Media, 12(1):43–54, 1993. doi: 10.1007/BF00616361.
[14] S. Chikh, A. Boumedien, K. Bouhadef, and G. Lauriat. Analytical solution of non-Darcian forced convection in an annular duct partially filled with a porous medium. International Journal of Heat and Mass Transfer, 38(9):1543–1551, 1995. doi: 10.1016/0017-9310(94)00295-7.
[15] S. Govender. An analytical solution for fully developed flow in a curved porous channel for the particular case of monotonic permeability variation. Transport in Porous Media, 64:189–198, 2006. doi: 10.1007/s11242-005-2811-1.
[16] S.K. Singh and V.K. Verma. Flow in a composite porous cylindrical channel covered with a porous layer of varaible permeability. Special Topics & Reviews in Porous Media – An International Journal, 10(3):291–303, 2019.
[17] V.K. Verma and S. Datta. Flow in a channel filled by heterogeneous porous mediuum with a linear permeability variation. Special Topics & Reviews in Porous Media – An International Journal, 3(3):201–208, 2012. doi: 10.1615/SpecialTopicsRevPorousMedia.v3.i3.10.
[18] V.K. Verma and S.K. Singh. Flow in a composite porous cylindrical channel of variable permeability covered with porous layer of uniform permeability. International Journal of Pure and Applied Mathematics, 118(2):321–334, 2018.
[19] V.K. Verma and H. Verma. Exact solutions of flow past a porous cylindrical shell. Special Topics & Reviews in Porous Media – An International Journal, 9(1):91–99, 2018. doi: 10.1615/SpecialTopicsRevPorousMedia.v9.i1.110.
[20] M. Abramowitz and I.A. Stegun. A Handbook of Mathematical Functions with Formulas, Graphs and Mathematical Tables. Dover Publications, New York, 1972.
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Authors and Affiliations

Sanjeeva Kumar Singh
1
Vineet Kumar Verma
1

  1. Department of Mathematics and Astronomy, University of Lucknow, India.
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Abstract

This paper deals with two control algorithms which utilize learning of their models’ parameters. An adaptive and artificial neural network control techniques are described and compared. Both control algorithms are implemented in MATLAB and Simulink environment, and they are used in the simulation of a postion control of the LWR 4+ manipulator subjected to unknown disturbances. The results, showing the better performance of the artificial neural network controller, are shown. Advantages and disadvantages of both controllers are discussed. The usefulness of the learning algorithms for the control of LWR 4+ robots is discussed. Preliminary experiments dealing with dynamic properties of the two LWR 4+ robots are reported.

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Bibliography

[1] J. Craig. Introduction to Robotics. Mechanics&Control. Addison-Wesley Publishing Company, 1986.
[2] R. Kelly, V.S. Davila, and A. Loría. Control of Robot Manipulators in Joint Space. Springer, London, 2005. doi: 10.1007/b135572.
[3] M.W. Spong, S. Hutchinson, and M. Vidyasagar. Robot Modeling and Control. John Wiley & Sons, 2006.
[4] F.W. Lewis, D.M. Dawson, and C.T. Abdallah. Robot Manipulator Control: Theory and Practice. CRC Press, 2003.
[5] J.Swevers, C. Ganseman, D.B.Tukel, J. de Schutter, and H.Van Brussel. Optimal robot excitation and identification. IEEE Transactions on Robotics and Automation, 13(5):730–740, 1997. doi: 10.1109/70.631234.
[6] J.Swevers,W. Verdonck, and J. de Schutter. Dynamic model identification for industrial robots. IEEE Control Systems Magazine, 27(5):58–71, 2007. doi: 10.1109/MCS.2007.904659.
[7] A. Liegeois, E. Dombre, and P. Borrel. Learning and control for a compliant computer controlled manipulator. IEEE Transactions on Automatic Control, 25(6):1097–1102, 1980. doi: 10.1109/TAC.1980.1102513.
[8] A.J. Koivo and T.H. Guo. Control of robotic manipulator with adaptive controller. In 1981 20th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes, pages 271–276, San Diego, USA, 16–18 Dec. 1981. doi: 10.1109/CDC.1981.269527.
[9] C.S.G. Lee and M.J. Chung. An adaptive control strategy for computer-based manipulators. In 1982 21st IEEE Conference on Decision and Control, pages 95–100, Orlando, USA, 8–10 Dec. 1982. doi: 10.1109/CDC.1982.268407.
[10] A. Koivo and T.H. Guo. Adaptive linear controller for robotic manipulators. IEEE Transactions on Automatic Control, 28(2):162–171, 1983. doi: 10.1109/TAC.1983.1103211.
[11] J.-J.E. Slotine and W. Li. On the adaptive control of robot manipulators. The International Journal of Robotics Research, 6(3):49–59, 1987. doi: 10.1177/027836498700600303. [12] F.W. Lewis, S. Jagannathan, and A. Yesildirak. Neural Network Control of Robot Manipulators and Non-Linear Systems. Taylor & Francis, Inc, 1998.
[13] G. Dreyfus, G. Neural Networks. Methodology and Applications. Springer-Verlag, Berlin, Heidelberg, 2005. doi: 10.1007/3-540-28847-3.
[14] M.A. Johnson and M.B. Leahy. Adaptive model-based neural network control. IEEE International Conference on Robotics and Automation Proceedings, volume 3, pages 1704-1709, Cincinnati, USA, 13–18 May 1990. doi: 10.1109/ROBOT.1990.126255.
[15] M.B. Leahy, M A. Johnson, D.E. Bossert, and G.B. Lamont. Robust model-based neural network control. In 1990 IEEE International Conference on Systems Engineering, pages 343– 346, Pittsburgh, USA, 9–11 Aug. 1990. doi: 10.1109/ICSYSE.1990.203167.
[16] R.T. Newton and Y. Xu. Neural network control of a space manipulator. IEEE Control Systems Magazine, 13(6):14–22, 1993. doi: 10.1109/37.247999.
[17] F.L. Lewis. Neural network control of robot manipulators. IEEE Expert, 11(3):64–75, 1996. doi: 10.1109/64.506755.
[18] F.L. Lewis, A. Yesildirek, and K. Liu. Multilayer neural-net robot controller with guaranteed tracking performance. IEEE Transactions on Neural Networks, 7(2):388–399, 1996. doi: 10.1109/72.485674.
[19] A. Bottero, G. Gerio, V. Perna, and A. Gagliano. Adaptive control techniques and feed forward compensation of periodic disturbances in industrial manipulators. In 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), pages 1–7, Senigallia, Italy, 10–12 Sept. Sept. 2014. doi: 10.1109/MESA.2014.6935612.
[20] J. Li, H. Ma, C. Yang, and M. Fu. Discrete-time adaptive control of robot manipulator with payload uncertainties. In 2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), pages 1971–1976, Shenyang, China, 8–12 June 2015. doi: 10.1109/CYBER.2015.7288249.
[21] M. Li, Y. Li, S.S. Ge, and T.H. Lee. Adaptive control of robotic manipulators with unified motion constraints. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(1):184– 194, 2017. doi: 10.1109/TSMC.2016.2608969.
[22] Ł.Wolinski. Implementation of the adaptive control algorithm for theKUKALWR4+rRobot. In J. Awrejcewicz, ed., Dynamical Systems in Theoretical Perspective, volume 248 of Springer Proceedings in Mathematics & Statistics, pages 391–401, Springer, Cham, 2018. doi: 10.1007/978-3-319-96598-7_31.
[23] M. de Paula Assis Fonseca, B.V. Adorno, and P. Fraisse. An adaptive controller with guarantee of better conditioning of the robot manipulator joint-space inertia matrix. In 2019 19th International Conference on Advanced Robotics (ICAR), pages 111–116, Belo Horizonte, Brazil, 2–6 Dec. 2019. doi: 10.1109/ICAR46387.2019.8981558.
[24] L. Zhang and L. Cheng. An adaptive neural network control method for robotic manipulators trajectory tracking. In 2019 Chinese Control And Decision Conference (CCDC), pages 4839– 4844, Nanchang, China, 3–5 June 2019. doi: 10.1109/CCDC.2019.8832715.
[25] He Jun-Pei, Huo Qi, Li Yan-Hui, Wang Kai, Zhu Ming-Chao, and Xu Zhen-Bang. Neural network control of space manipulator based on dynamic model and disturbance observer. IEEE Access, 7:130101–130112, 2019. doi: 10.1109/ACCESS.2019.2937908.
[26] A. Nawrocka, M. Nawrocki, and A. Kot. Neural network control for robot manipulator. In 2019 20th International Carpathian Control Conference (ICCC), pages 1–4, Krakow-Wieliczka, Poland, 26–29 May 2019. doi: 10.1109/CarpathianCC.2019.8765995.
[27] Ł. Wolinski and P. Malczyk. Dynamic modeling and analysis of a lightweight robotic manipulator in joint space. Archive of Mechanical Engineering, 62(2):279–302, 2015. doi: 10.1515/meceng-2015-0016.
[28] G. Rodriguez, A. Jain, and K. Kreutz-Delgado. A spatial operator algebra for manipulator modelling and control. I nternational Journal of Robotics Research, 10(4):371–381, 1991. doi: 10.1177/027836499101000406.
[29] Lightweight Robot 4+ Specification, Version: Spez LBR 4+ V2en, 06.07.2010.
[30] A. Jubien, M. Gautier, and A. Janot. Dynamic identification of the Kuka lightweight robot: comparison between actual and confidential Kuka’s parameters. In Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics 2014, pages 483–488, Besancon, France, 8-11 July 2014. doi: 10.1109/AIM.2014.6878124.
[31] H. Kawasaki, T. Bito, and K. Kanzaki. An efficient algorithm for the model-based adaptive control of robotic manipulators. IEEE Transactions on Robotics and Automation, 12(3):496– 501, 1996. doi: 10.1109/70.499832.
[32] B. Siciliano, L. Sciavicco, L.Villani, and G. Oriolo. Robotics. Modelling, Planning and Control. Springer-Verlag, London, 2009. doi: 10.1007/978-1-84628-642-1.
[33] M. Gautier and W. Khalil. Direct calculation of minimum set of inertial parameters of serial robots. IEEE Transactions on Robotics and Automation, 6(3):368–373, 1990. doi: 10.1109/70.56655.
[34] Ł. Wolinski and M. Wojtyra. Comparison of dynamic properties of two KUKA lightweight robots. In ROMANSY 21 – Robot Design, Dynamics and Control. Proceedings of the 21st CISM-IFToMM Symposium, volume 569, pages 413–420, 2016. doi: 10.1007/978-3-319-33714-2_46.
[35] V. Záda and K. Belda. Mathematical modeling of industrial robots based on Hamiltonian mechanics. In 2016 17th International Carpathian Control Conference (ICCC), pages 813– 818, 2016. doi: 10.1109/CarpathianCC.2016.7501208.
[36] V. Záda and K. Belda. Application of Hamiltonian mechanics to control design for industrial robotic manipulators. In 2 017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), pages 390–395, Miedzyzdroje, Poland, 28–31 Aug. 2017. doi: 10.1109/MMAR.2017.8046859.
[37] K. Chadaj, P. Malczyk, and J. Frączek. A parallel recursive hamiltonian algorithm for forward dynamics of serial kinematic chains. IEEE Transactions on Robotics, 33(3):647–660, 2017. doi: 10.1109/TRO.2017.2654507.
[38] G. Schreiber, A. Stemmer, and R. Bischoff. The fast research interface for the KUKAl ightweight robot. In Proceedings of the IEEE ICRA 2010Workshop on ICRA 2010Workshop on Innovative Robot Control Architectures for Demanding (Research) Applications – How to Modify and Enhance Commercial Controllers, pages 15–21, May 2010.
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Authors and Affiliations

Łukasz Woliński
1

  1. Institute of Aeronautics and Applied Mechanics, Warsaw University of Technology, Poland.

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.

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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



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