doi:10.16186/j.cnki.1673-9787.2019120101

Received:2019/12/30

Revised:2020/04/15

Published:2021/01/15

Optimization of axle-bridge turning parameters based on probabilistic constraint

LI Xiaoke1, HAN Xinyu1, ZHAO Wenbo2, DU Jinguang1,3, SHANG Baoping1, XIAO Yanqiu1

1.Mechanical and Electrical Engineering Institute， Zhengzhou University of Light Industry， Zhengzhou  450000 ， Henan， China;2.Luoyang TiHot Railway Machinery Manufacturing Co. ， Ltd. ， Luoyang  471000 ， Henan， China;3.Heavy-duty Intelligent Manufacturing Equipment Innovation Center of Hebei Province， Qinhuangdao  066004 ， Hebei， China

Abstract:Aiming at the problem of large deformation during the turning process of the axle-bridge， the corresponding process improvement and processing parameter optimization strategies were proposed respectively ： By introducing the balance weight to reduce the influence of centrifugal force on turning deformation， and by using the optimization algorithm based on probability constraints to select the optimal turning parameters， the efficiency of the turning process and the reliability of turning accuracy were achieved. An optimization model for turning parameters of axle-bridge with the goal of turning efficiency was constructed. In order to fully consider the random variation of turning parameters， the probability that the turning deformation was less than a given value was used as the constraint. In order to reduce the computational cost of the probability constraint model， the Latin hypercube sampling via translational propagation algorithm was used to select the parameter combinations of turning speed， backlash and feed， and the deformation values corresponding to each group of parameters were obtained through finite element simulation. Then， the Kriging approximation model of turning deformation was constructed， which was directly called during the failure probability calculation and optimization solution process. By experimental verification of the optimal parameter combination， the proposed method could effectively improve the turning efficiency within the allowable deformation range of the axle-bridge.

Key words:axle-bridge;probabilistic constraint;turning efficiency;turning parameter optimization;Kriging model

基于概率约束的轴桥车削参数优化_李晓科.pdf