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Author:

Zhang, Hua (Zhang, Hua.) | Shi, Zhaoyao (Shi, Zhaoyao.) (Scholars:石照耀) | Zhang, Bai (Zhang, Bai.)

Indexed by:

EI Scopus PKU CSCD

Abstract:

The algorithm of 3D geometric shape discriminant is presented, and a method of form error evaluation based on discriminant characters is proposed to realize automatic geometric form error evaluation. The method can determine the measured shape type on the basis of the invariant feature of the measurement point set and can evaluate the form error automatically in terms of minimum zone criterion without depending on CAD model and the parameters of measured workpiece. The evaluation mathematical model and initial parameters of the algorithm are determined according to the discriminant characteristics. Case study on plane, sphere and cylinder explains the implementation process of this method. The numerical simulations were carried out, which verifies that the discriminant algorithm can accurately determine the shape of measurement point set, and provide initial parameters and accurate model for form error evaluation. Actual measurement data processing results show that this method has high accuracy and versatility, and is a new form error measurement and evaluation mode.

Keyword:

Parameter estimation Computer aided design Data handling Errors Geometry

Author Community:

  • [ 1 ] [Zhang, Hua]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Shi, Zhaoyao]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Zhang, Bai]College of Electric and Information Engineering, Beifang University of Nationalities, Yinchuan 750021, China

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Source :

Chinese Journal of Scientific Instrument

ISSN: 0254-3087

Year: 2014

Issue: 6

Volume: 35

Page: 1217-1222

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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