An empirical approach to the identification of sources of machining errors in ultra-precision raster milling

Suet To, Hao Wang, Bing Li, Chi Fai Cheung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)

Abstract

Ultra-precision raster milling is one of the most significant techniques for the fabrication of high precision components with the surface roughness less than 10nm and form errors less than 0.2 um, without the need for any subsequent polishing. However, no matter how well a machine may be designed. there is a limit to the accuracy that can be achieved. This paper studies the machining errors caused by the diamond tool and the axis motions using Freeform 705G. With an empirical approach, the error sources are separated based on their effects on the surface finish. The main source leading to poor surface finish is identified. This establishes a basis for subsequent error compensation and equipment maintenance.
Original languageEnglish
Pages (from-to)986-991
Number of pages6
JournalKey Engineering Materials
Volume364-366 II
Publication statusPublished - 11 Feb 2008

Keywords

  • Empirical approach
  • Source identification
  • Sources of machining errors

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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