Thermal boundary condition optimization of ball screw feed drive system based on response surface analysis

被引:51
作者
Liu, Jialan [1 ,2 ]
Ma, Chi [1 ,2 ]
Wang, Shilong [1 ,2 ]
Wang, Sibao [1 ,2 ]
Yang, Bo [1 ,2 ]
Shi, Hu [3 ,4 ]
机构
[1] Chongqing Univ, State Key Lab Mech Transmiss, Chongqing 400044, Peoples R China
[2] Chongqing Univ, Coll Mech Engn, Chongqing 400044, Peoples R China
[3] Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710049, Shaanxi, Peoples R China
[4] Xi An Jiao Tong Univ, State Key Lab Mech Syst Engn, Xian 710049, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Ball screw feed drive system; Response surface analysis; Multi-objective genetic algorithm; Finite element analysis; Temperature filed; Thermal deformation; REAL-TIME ESTIMATION; TEMPERATURE DISTRIBUTION; ERROR; MODEL;
D O I
10.1016/j.ymssp.2018.11.042
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
To improve the simulation accuracy of the traditional transient thermal characteristics analysis model (TCAM) of the ball screw feed drive system (BSFDS), the optimization method of the thermal boundary conditions (TBCs), including the thermal loads, the convective heat transfer coefficient and the thermal contact resistance (TCR), was proposed. A multi-objective and multi-parameter optimization model was established based on the hybrid response surface (HRS) and a multi-objective genetic algorithm (MOGA) was developed to optimize the above TBCs. To simulate the thermal characteristics of the BSFDS under different working conditions, the generality of the method was extended to predict the TBCs under different feed rates. To validate the effectiveness of the method, the thermal characteristic experiments of BSFDS were conducted. The results showed that the simulation error for the temperature field was reduced from 25% to 10% and that the simulation error for the thermal elongation was reduced from 30% to 11%. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:471 / 495
页数:25
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