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dc.contributor.authorWang, Musong
dc.contributor.authorCheraghi, S. Hossein
dc.contributor.authorMasud, Abu S.M.
dc.date.accessioned2014-03-10T18:27:31Z
dc.date.available2014-03-10T18:27:31Z
dc.date.issued2001
dc.identifier.citationMusong Wang, S. Hossein Cheraghi, Abu S.M. Masud. Sphericity error evaluation: theoretical derivation and algorithm development. IIE Transactions v. 33, no. 4 (April 2001): pp 281-292. http://dx.doi.org/10.1023/A:1007637321717.
dc.identifier.issn0740-817X
dc.identifier.issn1573-9724
dc.identifier.urihttp://dx.doi.org/10.1023/A:1007637321717
dc.identifier.urihttp://hdl.handle.net/10057/7100
dc.descriptionClick on the DOI link to access this article (may not be free)
dc.description.abstractSeveral methods for the evaluation of sphericity error exist. The Minimum Radial Separation (MRS) spheres method is a method that has been studied by several researchers. In the MRS criterion, two concentric spheres at minimum radial separation must be found such that they contain all points on the actual spherical surface. The existing procedures for finding MRS spheres are either too complex and time consuming or do not provide an optimal solution to the sphericity error evaluation problem. In this paper, mathematical optimization concepts are utilized to develop a theory and an algorithm for the evaluation of sphericity error based on MRS criterion. Results indicate that the algorithm is fast and accurate in providing optimal solution to the sphericity error evaluation problem.
dc.language.isoen_US
dc.publisherKluwer Academic Publishers
dc.relation.ispartofseriesIIE Transactions, v. 33, no. 4
dc.titleSphericity error evaluation: theoretical derivation and algorithm development
dc.typeArticle
dc.rights.holderCopyright 2001, IIE


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