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contributor authorS. B. Billatos
contributor authorL. A. Kendall
date accessioned2017-05-08T23:36:03Z
date available2017-05-08T23:36:03Z
date copyrightFebruary, 1991
date issued1991
identifier issn1087-1357
identifier otherJMSEFK-27748#10_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/108857
description abstractA machining center is a single numerically-controlled machine that incorporates several time-saving features and performs a multiplicity of operations. The life of cutting tools used in machining centers is modeled using probabilistic methods because of the stochastic nature and variability of tool-wear data. An approximate expression for the renewal function is used to establish an optimum scheduled tool replacement interval and an optimum set of cutting conditions to obtain a minimum production cost. A general optimization model for the multi-tool machining center is formulated considering practical machine constraints. Premature failure cost is not considered constant in this study. It is estimated using the tool cost, the expected cost of unplanned downtime, and the expended cost of product damage by premature tool failure. A user friendly computer program was developed to solicit information from a production engineer regarding cutting operations for the various tools used at the machining center. A sensitivity analysis on the results of the optimization process is presented.
publisherThe American Society of Mechanical Engineers (ASME)
titleA General Optimization Model for Multi-Tool Manufacturing Systems
typeJournal Paper
journal volume113
journal issue1
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.2899609
journal fristpage10
journal lastpage16
identifier eissn1528-8935
keywordsOptimization
keywordsManufacturing systems
keywordsMachining centers
keywordsCutting
keywordsFailure
keywordsMachinery
keywordsEngineers
keywordsCutting tools
keywordsDowntime
keywordsEquipment and tools
keywordsComputer software
keywordsWear AND Sensitivity analysis
treeJournal of Manufacturing Science and Engineering:;1991:;volume( 113 ):;issue: 001
contenttypeFulltext


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