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contributor authorChen Zhou
contributor authorR. A. Wysk
date accessioned2017-05-08T23:38:56Z
date available2017-05-08T23:38:56Z
date copyrightNovember, 1992
date issued1992
identifier issn1087-1357
identifier otherJMSEFK-27760#494_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/110507
description abstractIn batch production, recording the status of cutting tools and making decisions based on current tool status are important issues. In flexible manufacturing systems, there are normally many tools installed on machining centers. These tools are often used on different operations due to frequent change over in the system. The tool usage recording and the decision making based on tool status in this environment are crucial. The commonly adopted time measure is not sufficient because tool life is influenced by many factors. A tool status measure (tool wear index) is introduced in this paper. The index is affected by both direct cutting time and the type of cutting involved. Tooling cost recovery and probabilistic models are also developed to identify the cutting speed and replacement time based on tool wear index for minimum unit cost. The objective is to minimize the unit direct machining cost due to tooling, machining time, and in-process tool failure penalty.
publisherThe American Society of Mechanical Engineers (ASME)
titleTool Status Recording and Its Use in Probabilistic Optimization
typeJournal Paper
journal volume114
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.2900703
journal fristpage494
journal lastpage499
identifier eissn1528-8935
keywordsWear
keywordsMachining
keywordsFlexible manufacturing systems
keywordsCutting tools
keywordsEquipment and tools
keywordsOptimization
keywordsCutting
keywordsDecision making
keywordsFailure
keywordsTooling AND Machining centers
treeJournal of Manufacturing Science and Engineering:;1992:;volume( 114 ):;issue: 004
contenttypeFulltext


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