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  • 标题:Optimization of Loaded Meshed Face Gears Design using Genetic Algorithm
  • 本地全文:下载
  • 作者:Ram Gopal ; Ajay Agarwal ; Rajiv Suman
  • 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.
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