https://scholars.lib.ntu.edu.tw/handle/123456789/612001
標題: | Quality assessment on a conical taper part based on the minimum zone definition using genetic algorithms | 作者: | Liu C.-H. Jywe W.-Y. Chen C.-K. Wen-Yuh Jywe |
關鍵字: | Convergence of numerical methods;Fits and tolerances;Functions;Genetic algorithms;Heuristic methods;Least squares approximations;Monte Carlo methods;Quality control;Conical tapers;Minimum zone definition;Coordinate measuring machines | 公開日期: | 2004 | 卷: | 44 | 期: | 2-3 | 起(迄)頁: | 183-190 | 來源出版物: | International Journal of Machine Tools and Manufacture | 摘要: | Traditionally, the least-squares method is applied on modern measurement systems for quality assurance. The least-squares method can only provide an approximate solution to the real values of conical parts. It may also result in a possible overestimation of tolerance errors on various engineering surfaces. Thus, a heuristic approach is presented in this paper to efficiently evaluate the cone type error based on the minimum zone definition using genetic algorithms (GAs). GAs show more flexibility in evaluating the engineering surfaces via adjusting the genetic parameters. Two fitness functions were also developed for improving the speed of convergence of GAs. Numerical results indicate that the genetic algorithm provides better accuracy and efficiency and can thus be used to solve difficult product attitude evaluation problems in engineering metrology. ? 2003 Elsevier Ltd. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-0346093887&doi=10.1016%2fj.ijmachtools.2003.10.014&partnerID=40&md5=7c83db07f4441ee202027242c3677165 https://scholars.lib.ntu.edu.tw/handle/123456789/612001 |
DOI: | 10.1016/j.ijmachtools.2003.10.014 |
顯示於: | 機械工程學系 |
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