Parameters optimization on surface residual stress for titanium alloy based on disk milling process

Tianran Huang, Yaoyao Shi, Hongmin Xin

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

To reveal the influence of milling parameters on residual stresses in the process of titanium alloy's disk milling, the orthogonal experiments consisted of three factors and three levels were designed. The relationships between milling speed, milling depth, feed speed and residual stresses were established, and the influence mechanisms were analyzed.The results showed that the surface residual stress of workpiece was compressive stress, and the milling speed had the greatest influence on residual stress, followed by the feed speed, and the milling depth had no significant effect. Moreover, Support Vector Machine (SVM) modeling technique was used for prediction of the surface residual stress to optimize the disk milling parameters with the results obtained from the experiments. The empirical exponential regression model was achieved and additional milling experiments were completed to validate SVM approach.

Original languageEnglish
Pages (from-to)2403-2409
Number of pages7
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume21
Issue number9
DOIs
StatePublished - 1 Sep 2015

Keywords

  • Disk milling
  • Orthogonal experiment
  • Process parameters optimization
  • Support vector machine
  • Surface residual stress
  • Titanium alloy

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