A Reliable Method of Minimum Zone Evaluation of Cylindricity and Conicity from Coordinate Measurement Data

Zhang, Xiangchao, Jiang, Xiang and Scott, Paul J. (2011) A Reliable Method of Minimum Zone Evaluation of Cylindricity and Conicity from Coordinate Measurement Data. Precision Engineering, 35 (3). pp. 484-489. ISSN 0141-6359

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Abstract

The form error evaluation of cylinders and cones is very important in precision coordinate metrology. The solution of the traditional least squares technique is prone to over-estimation, as a result unnecessary rejections may be caused. This paper proposes a reliable algorithm to calculate the minimum zone form errors of cylinders and cones, called a hybrid particle swarm optimization-differential evolution algorithm. The optimization is conducted in two stages, so that the program can hold a fast convergence rate, while effectively avoiding local minima. Experimental results demonstrate that the proposed algorithm can obtain very accurate and stable results for the calculation of cylindricity and conicity.

Item Type:	Article
Subjects:	T Technology > TJ Mechanical engineering and machinery
Schools:	School of Computing and Engineering School of Computing and Engineering > Centre for Precision Technologies > Surface Metrology Group School of Computing and Engineering > Centre for Precision Technologies > EPSRC Centre for Innovative Manufacturing in Advanced Metrology
Related URLs:	Author Author Author
Depositing User:	Xiang Zhang
Date Deposited:	03 May 2011 12:32
Last Modified:	29 Mar 2018 18:31
URI:	http://eprints.hud.ac.uk/id/eprint/10273

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