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Ultra-precision freeform surface evaluation using genetic algorithm optimization

  • Jingbo Zhou*
  • , Tao Sun
  • , Guoan Hou
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Freeform surfaces have been widely used in industry and daily life for their unique optical properties. To meet the required performances, they are usually needed to be manufactured with extremely high form accuracy. To obtain the form error, one of the main challenges is to match the measured surface data with theoretical model. However, due to the surface complexity, matching results may be trapped at a local minimum. In this proposed paper, a high efficient iteration method was developed to calculate closest point on the designed surface to the measured point and genetic algorithm has been proposed to find out the optimized motion parameter. From the experimental results, it can be seen that the form error caused by the evaluation algorithm can reach nanometric level.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2011
EditorsP. Shore, Henny Spaan, Theresa Burke, H. Van Brussel
Publishereuspen
Pages231-234
Number of pages4
ISBN (Electronic)9780955308291
StatePublished - 2011
Event11th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2011 - Como, Italy
Duration: 23 May 201126 May 2011

Publication series

NameProceedings of the 11th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2011
Volume1

Conference

Conference11th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2011
Country/TerritoryItaly
CityComo
Period23/05/1126/05/11

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