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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:
    Depositing User: Xianchao Zhang
    Date Deposited: 03 May 2011 13:32
    Last Modified: 21 Jan 2013 16:27
    URI: http://eprints.hud.ac.uk/id/eprint/10273

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