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All issues Volume 25 (2024) Mechanics & Industry, 25 (2024) 16 References
Open Access
Issue
Mechanics & Industry
Volume 25, 2024
Article Number 16
Number of page(s) 13
DOI https://doi.org/10.1051/meca/2024010
Published online 06 May 2024
  1. K. Tamboli, S. Patel, P.M. George, R. Sanghvi, Optimal design of a heavy-duty helical gear pair using particle swarm optimization technique, Proc. Technol. 14, 513–519 (2014) [CrossRef] [Google Scholar]
  2. M. Patil, P. Ramkumar, K. Shankar, Multi-objective optimization of the two-stage helical gearbox with tribological constraints, Mech. Mach. Theory 138,38–57 (2019) [CrossRef] [Google Scholar]
  3. E.S. Maputi, R. Arora, Multi-objective optimization of a 2-stage spur gearbox using NSGA-II and decision-making methods, J. Braz. Soc. Mech. Sci. Eng. 42,1–22 (2020) [CrossRef] [Google Scholar]
  4. T.H. Chong, I. Bae, A. Kubo, Multiobjective optimal design of cylindrical gear pairs for the reduction of gear dize and meshing vibration, JSME Int. J. Ser. C. 44, 291–298 (2001) [CrossRef] [Google Scholar]
  5. B.A. Abuid, Y.M. Ameen, Procedure for optimum design of a two-stage spur gear system, JSME Int. J. Ser. C. 46, 1582–1590 (2003) [CrossRef] [Google Scholar]
  6. K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Trans. Evol. Comput. 6, 182–197 (2002) [Google Scholar]
  7. H.-Z. Huang, Z.-G. Tian, M.J. Zuo, Multiobjective optimization of three-stage spur gear reduction units using interactive physical programming, J. Mech. Sci. Technol. 19, 1080–1086 (2005) [CrossRef] [Google Scholar]
  8. C. Gologlu, M. Zeyveli, A genetic approach to automate preliminary design of gear drives, Comput. Ind. Eng. 57, 1043–1051 (2009) [CrossRef] [Google Scholar]
  9. F. Mendi, T. Başkal, K. Boran, F.E. Boran, optimization of module, shaft diameter and rolling bearing for spur gear through genetic algorithm, Expert Syst. Appl. 37, 8058–8064 (2010) [CrossRef] [Google Scholar]
  10. N. Marjanovic, B. Isailovic, V. Marjanovic, Z. Milojevic, M. Blagojevic, M. Bojic, A practical approach to the optimization of gear trains with spur gears, Mech. Mach. Theory 53, 1–16 (2012) [CrossRef] [Google Scholar]
  11. S. Golabi, J.J. Fesharaki, M. Yazdipoor, Gear train optimization based on minimum volume/weight design, Mech. Mach. Theory 73, 197–217 (2014) [CrossRef] [Google Scholar]
  12. V. Savsani, R.V. Rao, D.P. Vakharia, Optimal weight design of a gear train using particle swarm optimization and simulated annealing algorithms, Mech. Mach. Theory 45, 531–541 (2010) [CrossRef] [Google Scholar]
  13. A. Parmar, P. Ramkumar, K. Shankar, Macro geometry multi-objective optimization of planetary gearbox considering scuffing constraint, Mech. Mach. Theory 154, 104045 (2020) [CrossRef] [Google Scholar]
  14. L. Qi, J. Zhou, H. Xu, Multi-objective optimization of gearbox based on panel acoustic participation and response surface methodology, J. Low Freq. Noise Vib. Act. Control. 41, 1108–1130 (2022) [CrossRef] [Google Scholar]
  15. Y. Lei, L. Hou, Y. Fu, J. Hu, W. Chen, Research on vibration and noise reduction of electric bus gearbox based on multi-objective optimization, Appl. Acoust. 158, 107037 (2020) [CrossRef] [Google Scholar]
  16. K. Dammak, A. Baklouti, A. El Hami, Optimal reliable design of brake disk using a Kriging surrogate model, Mech. Adv. Mater. Struct. 29, 7569–7578 (2022) [CrossRef] [Google Scholar]
  17. S. Barakat, K. Bani-Hani, M.Q. Taha, Multi-objective reliability-based optimization of prestressed concrete beams, Struct. Saf. 26, 311–342 (2004) [CrossRef] [Google Scholar]
  18. Y. Zhang, X. Xu, G. Sun, X. Lai, Q. Li, Nondeterministic optimization of tapered sandwich column for crashworthiness, Thin Walled Struct. 122, 193–207 (2018) [CrossRef] [Google Scholar]
  19. R.H. Lopez, A.J. Torii, L.F.F. Miguel, J.E.S. De Cursi, An approach for the global reliability-based optimization of the size and shape of truss structures, Mech. Ind. 16, 603 (2015) [CrossRef] [EDP Sciences] [Google Scholar]
  20. O. Braydi, C. Gogu, M. Paredes, Robustness and reliability investigations on a nonlinear energy sink device concept, Mech. Ind. 21, 603 (2020) [CrossRef] [EDP Sciences] [Google Scholar]
  21. J. Zhou, S. Huang, Y. Qiu, Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations, Tunn. Undergr. Spac Technol. 124, 104494 (2022) [CrossRef] [Google Scholar]
  22. J.J. Eckert, S.F. da Silva, F.M. Santiciolli, Á.C. de Carvalho, F.G. Dedini, Multi-speed gearbox design and shifting control optimization to minimize fuel consumption, exhaust emissions and drivetrain mechanical losses, Mech. Mach. Theory 169, 104–644 (2022) [Google Scholar]
  23. J. Stefanović-Marinović, Ž. Vrcan, S. Troha, M. Milovančević, Optimization of two-speed planetary gearbox with brakes on single shafts, Rep. Mech. Eng. 3, 94–107 (2022) [CrossRef] [Google Scholar]
  24. I. Mabrouk, A. El Hami, L. Walha, B. Zghal, M. Haddar. Dynamic vibrations in wind energy systems: application to vertical axis wind turbine, Mech. Syst. Signal Process. 85, 396–414 (2017) [CrossRef] [Google Scholar]
  25. K. Abboudi, L. Walha, Y. Driss, M. Maatar, T. Fakhfakh, M. Haddar, Dynamic behavior of a two-stage gear train used in a fixed-speed wind turbine, Mech. Mach. Theory 46, 1888–1900 (2011) [CrossRef] [Google Scholar]
  26. G. Kharmanda, A. Mohamed, M. Lemaire, Efficient reliability-based design optimization using a hybrid space with application to finite element analysis, Struct. Multidiscip. Optim. 24, 233–245 (2002) [CrossRef] [Google Scholar]
  27. K. Dammak, A. El Hami, Thermal reliability-based design optimization using Kriging model of PCM based pin fin heat sink, Int. J. Heat Mass Transf. 166, 120745 (2021) [CrossRef] [Google Scholar]
  28. K. Dammak, A. Yaich, A. El Hami, L. Walha, M. Haddar, An efficient optimization based on the robust hybrid method for the coupled acoustic–structural system, Mech. Adv. Mater. Struct. 27, 1816–1826 (2020) [CrossRef] [Google Scholar]

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