文章基本信息

标题：Optimization of Loaded Meshed Face Gears Design using Genetic Algorithm
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作者：Ram Gopal ; Ajay Agarwal ; Rajiv Suman 等
期刊名称：Journal of Energy Technologies and Policy
印刷版ISSN：2225-0573
电子版ISSN：2225-0573
出版年度：2014
卷号：4
期号：12
页码：54-61
语种：English
出版社：Journal of Energy Technologies and Policy
摘要：This paper present the design strategy for optimization of loaded meshed face gear set. Genetic algorithms are being widely used for optimization, search and neural network synthesis. A lot of work has been conducted using genetic algorithm for different engineering problems related to scheduling and process planning in industrial engineering, network optimization in computer engineering. The work dissertation deals with the optimization of loaded meshed face gear sets using genetic algorithm. Attention is focused on reducing the pressure of gear set subjected to constraints on the maximum pressure, contact location, pressure at slice 1 and pressure at slice 11. The optimum gear set using Genetic Algorithm calculate the pressure.
关键词：Genetic algorithm; loaded meshed face gear; optimization.