MATEC Web Conf.
Volume 121, 20178th International Conference on Manufacturing Science and Education – MSE 2017 “Trends in New Industrial Revolution”
|Number of page(s)||9|
|Section||Design, Manufacturing and Management of Technological Equipment and Systems|
|Published online||09 August 2017|
Volume optimization of gear trains with spur gears using genetic algorithm
University of Kragujevac, Faculty of Engineering, 6 Sestre Janjić, 34000 Kragujevac, Serbia
* Corresponding author: email@example.com
Gear train volume optimization presents a complex problem tied to practical application in gear train manufacturing. This paper is oriented on the analysis of the problem of gear train volume minimization from a shaft axes positioning aspect. An original mathematical model has been developed where the objective function gives a minimum volume with changed shaft (spur gear) axes positions, while at the same time complying with all physical constraints. An original optimization software has also been developed using RCGA (Real Coded Genetic Algorithm) optimization methods. The general mathematical model was applied to three real conceptions of gear train as well as a comparative analysis of initial and optimal values. The results show a decrease of volume being directly linked to a decrease of not only space but material used to make the housing, costs, documentation formulation rate, etc.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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