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Research Papers

Optimisation of gear reducer using evolutionary algorithm

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Pages S6-378-S6-383 | Published online: 05 Dec 2014

References

  • Y. Liu, H. Y. Li, H. F. Jiang and X. J. Su: ‘Artificial neural network modelling to predict hot deformation behaviour of zinc-aluminium alloy’, Mater. Sci. Technol., 2013, 29, (2), 184.
  • H. Huang, Y. Y. Qin, De. X. Tao, H. X. Long: ‘Multi-Objective Optimization Design of Hard Gear-Face Point-Line Meshing Gear’, Appl. Mech. Mater., 2013, 271–272, 1027.
  • J. Majid and K. Esmaile: ‘Two improved harmony search algorithms for solving engineering optimization problems’, Commun. Nonlinear Sci. Numer. Simulat., 2010, 15, 3316.
  • A. Ebnonnasir, F. Karimzadeh and M. H. Enayati: ‘Novel artificial neural network model for evaluating hardness of stir zone of submerge friction stir processed Al 6061-T6 plate’, Mater. Sci. Technol., 2011, 27, (6), 990.
  • Y. D. Liu and Y. H. Yin: ‘Multiobjective topology optimisation for microstructure of periodic composite material’, Mater. Res. Innov., 2011, 15, (1), 260.
  • C. S. Zhang, G. Q. Zhao, H. Chen and Y. J. Guan: ‘Optimisation design of aluminium radiator extrusion die using response surface method’, Mater. Res. Innov., 2011, 15, (1), 288.
  • Q. Li, X. Qiao, C. Wu and X. Wang: ‘The study on gear transmission multi-objective optimum design based on SQP algorithm’, Fourth Int. Conf. Machine Vision (ICMV 2011), (2012), doi: 10·1117/12·920249.
  • Y. F. Li, Y. X. Xu and G. X. Li: ‘Optimization Design of the Wind Turbine Gearbox Based on Genetic Algorithm Method’, Adv. Mater. Manuf. Sci. Technol. XIV, 2011, 697–698, 697.
  • C. W. Wu, Y. H. Wu, C. B. Ma and C. Wang: ‘Optimization Design of Gear Train Based on Particle Swarm Optimization Algorithm’, Appl. Mech. Mater., 2013, 373–375, 1072.
  • V. Savsani, R. V. Rao and D. P. Vakharia: ‘Optimal weight design of a gear train using particle swarm optimization and simulated annealing algorithms’, Mech. Mach. Theory, 2010, 45, 531.
  • Y. K. Mogal and V. D. Wakchaure: ‘A Multi-objective Optimization zApproach for Design of Worm and Worm Wheel Based on Genetic Algorithm’, Bonfring Int. J. Man Mach. Interface, 2013, 3, (1), 8.
  • O. Buiga and C.-O. Popa: ‘Optimal Mass Design Of A Single-Stage Helical Gear Unit With Genetic Algorithms’, Proc. Romanian Academy, Series A, 2012, 13, (6), 243.
  • V. K. Tripathi and H. M. Chauhan: ‘Multi objective optimization of planetary gear train’, Simulated Evolution and Learning Lecture Notes in Computer Science, 2010, 6457, 578.
  • S. Padmanabhan, M. Chandrasekaran, P. Asokan and V. Srinivasa Raman: ‘Optimal Solution for Gear Drive Design Using Population Based Algorithm’, Int. Rev. Mech. Eng., 2013, 7, (5), 802.
  • P. Sriramya, B. Parvathavarthini and T. Balamurugan: ‘A Novel Evolutionary Selective Breeding Algorithm and its Application’, Asian J. Sci. Res., 2013, 6, 107.
  • K. Deb and S. Jain: ‘Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms’, J. Mech. Des., 2003, 125, 609.
  • D. W. Dudley: ‘Handbook of practical gear design’, 1994, New York, McGraw-Hill Book Co.
  • http://en.wikipedia.org/wiki/Selective_breeding.

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