An integrated optimization of cutting parameters and tool path generation in ultraprecision raster milling

S. J. Wang, Suet To, X. Chen, X. D. Chen, X. B. Ouyang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

10 Citations (Scopus)

Abstract

This paper provides a new methodology for the integrated optimization of cutting parameters and tool path generation (TPG) based on the development of prediction models for surface roughness and machining time in ultraprecision raster milling (UPRM). The proposed methodology simultaneously optimizes the cutting feed rate, the path interval, and the entry distance in the feed direction to achieve the best surface quality in a given machining time. Cutting tests are designed to verify the integrated optimization methodology. The experimental results show that, in the fabrication of plane surface, the changing of entry distance improves surface finish about 40 nm (Ra) and 200 nm (Rt) in vertical cutting and decreases about 8 nm (Ra) and 35 nm (Rt) in horizontal cutting with less than 2 s spending extra machining time. The optimal shift ratio decreases surface roughness about 7 nm (Ra) and 26 nm (Rt) in the fabrication of cylinder surfaces, while the total machining time only increases 2.5 s. This infers that the integrated optimization methodology contributes to improve surface quality without decreasing the machining efficiency in ultraprecision milling process.
Original languageEnglish
Pages (from-to)1711-1721
Number of pages11
JournalInternational Journal of Advanced Manufacturing Technology
Volume75
Issue number9-12
DOIs
Publication statusPublished - 16 Nov 2014

Keywords

  • Machining efficiency
  • Surface roughness
  • Tool path optimization
  • Ultraprecision raster milling (UPRM)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Mechanical Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

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