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2017 | 77 | 2 | 267-280
Article title

Advanced helical gear reducer design optimization through nature inspired algorithms

Content
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Languages of publication
EN
Abstracts
EN
In this paper a high power helical gear pair design optimization problem is solved. It is a multi variable, complex non linear problem with derived objective function and constraints. The objective is to minimize the volume of the gear. The design parameters considered are module, face width, number of teeth on drive and driven and helix angle. The various factors for sizing and strength of gear geometry parameters are based on German Institute for Standardization (DIN) Standards. Nature inspired algorithms, namely, Simulated Annealing (SA), Fire fly (FA) and Cuckoo Search (CS) and MATLAB solvers fmincon, GA are used. Simulation results are analysed and compared with literature.
Discipline
Year
Volume
77
Issue
2
Pages
267-280
Physical description
Contributors
  • Department of Mechanical Engineering, Loyola - ICAM College of Engineering and Technology, Chennai – 600 034, India
author
  • Department of Automobile Engineering, Dr. Mahalingam College of Engineering and Technology, Pollachi – 642 003, India
author
  • Department of Mechanical Engineering, EGS Pillay Engineering College, Nagapattinam – 611002, India
  • Department of Mechanical and Industrial Engineering, Bahi Dar Institute of Technology, Bahir Dar, Ethiopia
References
  • [1] V. Savsani, R. V. Rao, and D. P. Vakharia, Mechanism and Machine Theory, 45(3) (2010) 531-541
  • [2] H. Wei, F. Lingling, L. Xiohuai, W. Zongyian, and Z. Leisheng, Proceedings of the 2nd International Conference on Intelligent Computing Technology and Automation (2009) 356-359
  • [3] F. Mendi, T. Baskal, K. Boran, and F. E. Boran, Expert Systems with Applications, 37(12) (2010), 8058-8064
  • [4] T. Yokota, T. Taguchi, and M. Gen, Computers & Industrial Engineering, 35(3-4) (1998) 523-526
  • [5] O. Buiga and C.-O. Popa, Proceedings of the Romanian Academy Series A — Mathematics Physics Technical Sciences Information Science, 13(3) (2012, 243-250
  • [6] Linhong Xu Leiming, Li Yin Liu, Int. Conf. on Measuring Technology and Mechatronics Automation, (2009)
  • [7] Yuansheng Qi, Xiaohua Wang, Ju Sun, J. Computer aided design, 5 (2009)
  • [8] Ketan Tambolia, Sunny Patel, P.M. George, Rajesh Sanghvia, Procedia Technology, 14 (2014) 513-519
  • [9] Vadim V. Lozin, Optimization and Engineering, 9 (2008) 201
  • [10] J.S Arora, Introduction to Optimum Design, (2012)
  • [11] X. S. Yang, Nature-Inspired Metaheuristic Algorithms, (2008)
  • [12] DIN 3990, Deutsches Institutfur Normung, 12 (1987)
  • [13] DIN 3960, Deutsches Institutfur Normung, 12 (1987)
Document Type
article
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.psjd-ebf363cb-547b-42e7-ae7e-df7c29f8ed93
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