RESEARCH ARTICLE

Position-varying surface roughness prediction method considering compensated acceleration in milling of thin-walled workpiece

  • Zequan YAO 1 ,
  • Chang FAN 1 ,
  • Zhao ZHANG , 2 ,
  • Dinghua ZHANG 1,2 ,
  • Ming LUO , 1,2
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  • 1. Key Laboratory of High Performance Manufacturing for Aero Engine (Ministry of Industry and Information Technology), Northwestern Polytechnical University, Xi’an 710072, China
  • 2. Engineering Research Center of Advanced Manufacturing Technology for Aero Engine (Ministry of Education), Northwestern Polytechnical University, Xi’an 710072, China

Received date: 07 Apr 2021

Accepted date: 01 Jul 2021

Published date: 15 Dec 2021

Copyright

2021 Higher Education Press 2021.

Abstract

Machined surface roughness will affect parts’ service performance. Thus, predicting it in the machining is important to avoid rejects. Surface roughness will be affected by system position dependent vibration even under constant parameter with certain toolpath processing in the finishing. Aiming at surface roughness prediction in the machining process, this paper proposes a position-varying surface roughness prediction method based on compensated acceleration by using regression analysis. To reduce the stochastic error of measuring the machined surface profile height, the surface area is repeatedly measured three times, and Pauta criterion is adopted to eliminate abnormal points. The actual vibration state at any processing position is obtained through the single-point monitoring acceleration compensation model. Seven acceleration features are extracted, and valley, which has the highest R-square proving the effectiveness of the filtering features, is selected as the input of the prediction model by mutual information coefficients. Finally, by comparing the measured and predicted surface roughness curves, they have the same trends, with the average error of 16.28% and the minimum error of 0.16%. Moreover, the prediction curve matches and agrees well with the actual surface state, which verifies the accuracy and reliability of the model.

Cite this article

Zequan YAO , Chang FAN , Zhao ZHANG , Dinghua ZHANG , Ming LUO . Position-varying surface roughness prediction method considering compensated acceleration in milling of thin-walled workpiece[J]. Frontiers of Mechanical Engineering, 2021 , 16(4) : 855 -867 . DOI: 10.1007/s11465-021-0649-z

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 52022082 and 52005413), and the 111 Project (Grant No. B13044).
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