Research on surface roughness prediction model based on CT genetic algorithm for optical ultra-precision machining

J. J. Du, Chi Fai Cheung, Suet To, Z. Y. Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


In this paper a dynamic non-linear mathematics model is proposed to predict the surface roughness in optical ultra-precision machining, which can be automatically built by evoling computer program of genetic algorithm. The new model can improve the fitting and predicting accuracy, compared with the traditional linear regression model. The numerical simulation test proves the effectiveness and accuracy of new model.
Original languageEnglish
Title of host publicatione-Engineering and Digital Enterprise Technology
PublisherTrans Tech Publications Ltd
Number of pages5
ISBN (Print)0878494707, 9780878494705
Publication statusPublished - 1 Jan 2008
Evente-Engineering and Digital Enterprise Technology, e-ENGDET 2007 -
Duration: 1 Jan 2008 → …

Publication series

NameApplied Mechanics and Materials
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482


Conferencee-Engineering and Digital Enterprise Technology, e-ENGDET 2007
Period1/01/08 → …


  • Evolutionary model
  • Genetic algorithm
  • Surface roughness

ASJC Scopus subject areas

  • Engineering(all)

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