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contributor authorElsayed Orady
contributor authorSongnian Li
contributor authorYubao Chen
date accessioned2017-05-09T00:02:48Z
date available2017-05-09T00:02:48Z
date copyrightNovember, 2000
date issued2000
identifier issn1087-1357
identifier otherJMSEFK-27431#795_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/123930
description abstractIn this paper, a new algorithm, based on a nonlinear optimization method (NOM), has been developed. The accuracy as well as the reliability/robustness of the new algorithm have been verified by applying it to more than 200 CMM measured data sets on differently manufactured parts. The results have been compared with that of Least Squares Method (LSM) and Convex Hull (CVH) method applied to the same data sets. A data filter is proposed to be enclosed in the new algorithm to detect and delete outliers in the data sets. [S1087-1357(00)01102-3]
publisherThe American Society of Mechanical Engineers (ASME)
titleEvaluation of Minimum Zone Straightness by a Nonlinear Optimization Method
typeJournal Paper
journal volume122
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.1285880
journal fristpage795
journal lastpage797
identifier eissn1528-8935
keywordsCoordinate measuring machines
keywordsAlgorithms
keywordsOptimization
keywordsFilters
keywordsRobustness
keywordsReliability AND Fittings
treeJournal of Manufacturing Science and Engineering:;2000:;volume( 122 ):;issue: 004
contenttypeFulltext


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