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基于响应面试验设计的湿式离合器优化策略
引用本文:刘文,王青松,林腾蛟,魏静,李锐.基于响应面试验设计的湿式离合器优化策略[J].重庆大学学报(自然科学版),2018,41(6):9-23.
作者姓名:刘文  王青松  林腾蛟  魏静  李锐
作者单位:重庆大学机械传动国家重点实验室 ,重庆,400044
基金项目:中央高校基本科研业务费专项资金资助项目(106112017CDJZRPY0018),重庆市重点产业共性关键技术创新专项(CSTC2015ZDCY-ZTZX70013)
摘    要:为提高湿式离合器的可靠性,建立以6个出油管孔径为设计变量的参数化有限元模型,基于计算流体力学理论,进行热流耦合动态仿真分析,根据湿式离合器热流场分布特性,设计优化策略。剖析中心组合设计方法的采样原理,推导析因系数、样本点数、因子水平及各水平对应试验次数的计算公式,并应用于湿式离合器的响应面试验设计中,采用单因素仿真试验分析方法确定离合器片轴向最小位移为目标变量,进一步编排试验点安排表。基于最小二乘法拟合得到响应面模型,采用不同工具进行优化分析,获得了湿式离合器的3套优化方案。结果表明:在最佳优化方案中,离合器片轴向最小位移增大了38.472%,其预测值与实际仿真值误差为7.291%,最薄油层厚度增大了18.828%。

关 键 词:离合器  热流耦合  响应曲面  试验设计  析因系数  优化策略
收稿时间:2018/1/2 0:00:00

Optimization strategy of wet clutch based on response surface test design
LIU Wen,WANG Qingsong,LIN Tengjiao,WEI Jing and LI Rui.Optimization strategy of wet clutch based on response surface test design[J].Journal of Chongqing University(Natural Science Edition),2018,41(6):9-23.
Authors:LIU Wen  WANG Qingsong  LIN Tengjiao  WEI Jing and LI Rui
Institution:State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China,State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China,State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China,State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China and State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, P. R. China
Abstract:In order to improve wet clutch''s reliability, a parametric finite element model with the diameter of six outlet pipes as variables was established, and the heat-flow coupling analysis was carried out based on CFD. According to the characteristics of heat flow field, optimization strategy was designed. The sampling principle of CCD was analyzed, the formulas for the factorial coefficient, the number of sample points, the level and corresponding test times were deduced respectively, and applied to the response surface test design. Single factor simulation tests were adopted to determine the minimum axial displacement of clutch plates as the target variable, and test point arrangement table was further arranged. Based on least square method, the response surface model was fitted, three optimization schemes were obtained by different tools. The results show that, in the optimum scheme, the target variable increases by 38.472%, the error between forecast and actual simulation is 7.291%, and the thinnest oil-layer thickness increases by 18.828%.
Keywords:clutch  heat-flow coupling  response surface  test design  factorial coefficient  optimization strategy
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