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An integrated method for waviness simulation on large-size surface

  • Yazhou Sun
  • , Wanqun Chen*
  • , Yingchun Liang
  • , Chenhui An
  • , Guoda Chen
  • , Hao Su
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The surface waviness of the KH2PO4 crystal has important influence on its optical performance, but it is difficult to simulate by the current simulation models. This article presents an integrated machining performance forecasting method, which considers the interaction between manufacturing process and machine tool and integrates the cutting simulation, machine tool dynamic performance simulation and the control system. The profile and waviness prediction on the large area are achieved by this method with short time and high accuracy. The machining trials on a fly cutting machine tool are carried out to demonstrate the effectiveness of the proposed approach.

Original languageEnglish
Pages (from-to)178-182
Number of pages5
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume229
Issue number1
DOIs
StatePublished - 1 Jan 2015

Keywords

  • Dynamics
  • Machining performance
  • Surface forecasting
  • Ultraprecision machining
  • Waviness simulation

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