期刊文献+

基于微分进化算法的非对称弧齿锥齿轮约束多目标优化 被引量:2

Asymmetric Spiral Bevel Bears' Constrained Multi-objective Optimization Based on the Differential Evolutionary Algorithm
在线阅读 下载PDF
导出
摘要 根据齿轮啮合原理和现代摩擦学理论,建立了以弧齿锥齿轮传动齿面上瞬时接触线方向与相对滑动速度之间夹角的余切值最小、传动总体积最小和齿面诱导法曲率主值最小为目标函数的约束多目标优化设计数学模型。对当前的微分进化多目标优化算法进行了改进,给出了适用于工程领域的微分进化约束多目标优化算法。借助于改进的微分进化多目标优化算法,通过范例对弧齿锥齿轮传动进行两目标和三目标优化设计。分析了齿面上瞬时接触线方向与相对滑动速度之间的夹角及齿面诱导法曲率主值对齿面接触强度和胶合强度的影响。 According to the principle of gear engagement and the modern theory of tribology, the constrained multi-objective optimization design mathematical model is established, taking minimum cotangent value of the included angle between instantaneous contact line direction on spiral bevel gear tooth surface with the relative sliding velocity, minimum transmission total volume, and minimum main value of the tooth surface induced curvature as the objective function. The current differential evolutionary multi-objective optimization algorithm is modified, the differential evolutionary constrained multi-objective optimization algorithm is provided. With the help of the modified differential evolutionary multi-objective optimization algorithm, two targets and three target optimization design of spiral bevel gear drive is done through the example. The influence of the included angle between instantaneous contact line direction on tooth surface with the relative sliding velocity and main value of the tooth surface induced curvature over the contact strength and adhesive strength of tooth surface is analyzed.
出处 《图学学报》 CSCD 北大核心 2014年第1期26-30,共5页 Journal of Graphics
基金 福建省自然科学基金资助项目(2012D128)
关键词 微分进化 约束多目标优化 瞬时接触线方向 相对滑动速度 诱导法曲率 differential evolution constrained multi-objective optimization instantaneous contact line direction relative sliding velocity induced normal curvature
  • 相关文献

参考文献15

  • 1Litvin F L,Fuentes A,Howkins M. Designing,generation and TCA of new type of asymmetric face-gear drive with modified geometry[J].Computer Methods in Applied Mechanics and Engineering,2001,(43-44):5837-5865.
  • 2Difrancesco G,Marini S. Structural analysis of asymmetrical teeth:reduction of size and weight[J].Gear Technology,1997,(05):121-125.
  • 3张金良,方宗德,邓效忠,吴斌.准双面齿轮强度的非对称设计[J].机械科学与技术,2005,24(5):568-569. 被引量:4
  • 4温诗铸;黄平.摩擦学原理[M]北京:清华大学出版社,200273-75.
  • 5吴序堂.齿轮啮合原理[M]西安:西安交通大学出版社,2009293-296.
  • 6Abbass H A. The self-adaptive pareto differential evolution algorithm[A].Piscataway,NJ:IEEE Service Center,2002.831-836.
  • 7Madavan N K. Multiobjective optimization using a pareto differential evolution approach[A].Piscataway,NJ:IEEE Service Center,2002.1145-1150.
  • 8Xue F,Sanderson A C,Graves R J. Pareto-based multi-objective differentil evolution[A].Piscataway,NJ:IEEE press,2003.862-869.
  • 9张利彪,许相莉,马铭,孙彩堂,周春光.基于微分进化求解多目标优化问题中的退化现象[J].吉林大学学报(工学版),2009,39(4):1041-1046. 被引量:5
  • 10张利彪,周春光,马铭,孙彩堂.基于极大极小距离密度的多目标微分进化算法[J].计算机研究与发展,2007,44(1):177-184. 被引量:29

二级参考文献45

  • 1雷德明,吴智铭.基于个体密集距离的多目标进化算法[J].计算机学报,2005,28(8):1320-1326. 被引量:23
  • 2C A Coello Coello.A Comprehensive survey of evolutionary-based multiobjective optimization,techniques.Knowledge and Information Systems,1999,1(3):269~308
  • 3J D Schaffer.Multiple objective optimization with vector evaluated genetic algorithms.The First Int'l Conf on Genetic Algorithms,Lawrence Erlbaum,1985
  • 4D A V Veldhuizen,G B Lamont.Multiobjective evolutionary algorithm research:A history and analysis.Department of Electrical and Computer Engineering,Graduate School of Engineering,Air Force Institute of Technology,Tech Rep:TR-98-03,1998
  • 5R Eberhart,J Kennedy.A new optimizer using particle swarm theory.In:Proc of the 6th Int'l Symposium on Micro Machine and Human Science.Piscataway,NJ:IEEE Service Center,1995.39~43
  • 6J Kennedy,R Eberhart.Particle swarm optimization.IEEE Int'l Conf on Neural Networks,Perth,Australia,1995
  • 7K E Parsopoulos,M N Vrahatis.Particle swarm optimizer in noisy and continuously changing environments.In:M H Hamza ed.Artificial Intelligence and Soft Computing.Iasted:ACTA Press,2001.289~294
  • 8K E Parsopoulos,M N Vrahatis.Particle swarm optimization method for constrained optimization problems.Euro-Int'l Symp on Computational Intelligence 2002,Slovakia,2002
  • 9R C Eberhart,X Hu.Human tremor analyis using particle swarm optimization.IEEE Congress on evolutionary computation (CEC 1999),Washington,D C,1999
  • 10Y Shiand,R Eberhart.A modified particle swarm optimizer.IEEE Int'l Conf on Evolutionary Computation,Anchorage,Alaska,1998

共引文献367

同被引文献12

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部