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contributor authorLi Chen
contributor authorS. S. Rao
date accessioned2017-05-08T23:54:08Z
date available2017-05-08T23:54:08Z
date copyrightMay, 1997
date issued1997
identifier issn1087-1357
identifier otherJMSEFK-27297#186_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/119058
description abstractIn any real-world manufacturing situation, the problem of determining the optimum machining conditions involves not only empirical data but also imprecise information. Uncertain factors may need to be considered in the computational optimization process due to fuzziness present in the empirical equations and experimental data used. To manipulate the uncertainties in the optimization process, a fuzzy model is introduced and investigated. The fuzzy model quantifies the degree of certainty (or uncertainty) in the range 0 to 1. A numerical example is considered to illustrate the computational approach. The overall impact of the uncertain factors on the optimization process is assessed by comparing the present numerical results with those given by the traditional approach.
publisherThe American Society of Mechanical Engineers (ASME)
titleManipulation of Uncertainties in the Determination of Optimal Machining Conditions Under Multiple Criteria
typeJournal Paper
journal volume119
journal issue2
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.2831094
journal fristpage186
journal lastpage192
identifier eissn1528-8935
keywordsMachining
keywordsOptimization
keywordsEquations
keywordsUncertainty AND Manufacturing
treeJournal of Manufacturing Science and Engineering:;1997:;volume( 119 ):;issue: 002
contenttypeFulltext


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