A prediction model of flatness error in micro milling of 304 stainless steel

Meixia Yuan, Li Jiao, Xbin Wang, Changwei Shi

Research output: Contribution to journalArticlepeer-review

Abstract

An orthogonal test of micro-milling on micro-planes was conducted, and a predictive model of flatness of micro structures on milling speed, feed and milling depth with multiple regression and probability statistics was established. Based on the predictive model, a clear mapping relation between flatness and milling parameters was established, and the influencing rules of milling speed, feed per tooth and milling depth on the flatness of micro structures was generalized. The results indicated that milling speed has the most significant influence on flatness in micro-milling, with milling depth having the least influence, which provide theoretical evidences for optimizing the technological parameters of micro-milling and controlling the processing precision.

Original languageEnglish
Pages (from-to)393-396
Number of pages4
JournalJournal of Mines, Metals and Fuels
Volume63
Issue number10
Publication statusPublished - Oct 2015

Keywords

  • Flatness error
  • Mesoscale
  • Micro milling

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