Journal of Shanghai Jiaotong University ›› 2015, Vol. 49 ›› Issue (05): 725-729.

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Method for Selection of Temperature Key Points Based on Thermal Error Sensitivity Images and Genetic Optimization

ZHAO Haitao1,FENG Wei1,ZHOU Hai1,YANG Jianguo2   

  1. (1. School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng 224051, Jiangsu China; 2. School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200030, China)
  • Received:2014-06-09

Abstract:

Abstract: The transient temperature fields and corresponding thermal deformations of a computer numerical control (CNC) turning center headstock were simulated using the finite element method. Based on the concept of thermal error sensitivity, the sensitivity images of thermal errors of the turning center headstock were derived from the simulation results. 512 candidate temperature key points were extracted from finite element nodes by using the wavelet image compression technique. According to the principle of the genetic optimization algorithm, the optimization object function was expressed as a flowchart which could be programmed as an Mfile in Matlab. The selection of temperature key points and building matching thermal error models were simultaneously realized. The validation experimental results on the turning center show that the fitting precision of thermal error models built on optimized temperature key points is better than that on arbitrarily selected temperature measuring points.

Key words: thermal error sensitivity, computer numerical control (CNC) turning center, image compression, temperature key points, genetic optimization

CLC Number: