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contributor authorChakguy Prakasvudhisarn
contributor authorShivakumar Raman
date accessioned2017-05-09T00:13:43Z
date available2017-05-09T00:13:43Z
date copyrightFebruary, 2004
date issued2004
identifier issn1087-1357
identifier otherJMSEFK-27800#169_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/130430
description abstractComplex forms such as conicity have been largely ignored in the coordinate form literature, in spite of the sufficient need to inspect them in parts such as tapered rollers in bearings. This paper attempts to develop guidelines for inspection of cones and conical frustums using probe-type coordinate measuring machines. The sampling problem, the path determination, and fitting of form zones are each addressed in detail. Moreover, an integrative approach is taken for form verification and detailed experimental analysis is conducted as a pilot study for demonstrating the need for the same. Three separate sampling methods are applied: Hammersley, Halton-Zaremba, and Aligned Systematic; at various sample sizes using sampling theory and prior work in two-dimensional sampling. Linear and nonlinear deviations are formulated using optimization and least-squared methods and solved to yield competitive solutions. Comprehensive experimental analysis investigated issues of model adequacy, nesting, interactions, and individual effects, while studying conicity as a response variable in the light of sampling strategies, sizes, cone surface areas, and fitting methods. In summary, an orderly framework for sampling and fitting cones is developed which can lead to the development of comprehensive standards and solutions for industry.
publisherThe American Society of Mechanical Engineers (ASME)
titleFramework for Cone Feature Measurement Using Coordinate Measuring Machines
typeJournal Paper
journal volume126
journal issue1
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.1644541
journal fristpage169
journal lastpage177
identifier eissn1528-8935
keywordsCoordinate measuring machines
keywordsSampling (Acoustical engineering)
keywordsFittings
keywordsInspection
keywordsErrors
keywordsAlgorithms AND Optimization
treeJournal of Manufacturing Science and Engineering:;2004:;volume( 126 ):;issue: 001
contenttypeFulltext


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