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contributor authorJohn T. Roth
contributor authorDragan Djurdjanovic
contributor authorXiaoping Yang
contributor authorLaine Mears
contributor authorThomas Kurfess
date accessioned2017-05-09T00:39:18Z
date available2017-05-09T00:39:18Z
date copyrightAugust, 2010
date issued2010
identifier issn1087-1357
identifier otherJMSEFK-28393#041015_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/144032
description abstractTool condition monitoring (TCM) is an important aspect of condition based maintenance (CBM) in all manufacturing processes. Recent work on TCM has generated significant successes for a variety of cutting operations. In particular, lower cost and on-board sensors in conjunction with enhanced signal processing capabilities and improved networking has permitted significant enhancements to TCM capabilities. This paper presents an overview of TCM for drilling, turning, milling, and grinding. The focus of this paper is on the hardware and algorithms that have demonstrated success in TCM for these processes. While a variety of initial successes are reported, significantly more research is possible to extend the capabilities of TCM for the reported cutting processes as well as for many other manufacturing processes. Furthermore, no single unifying approach has been identified for TCM. Such an approach will enable the rapid expansion of TCM into other processes and a tighter integration of TCM into CBM for a wide variety of manufacturing processes and production systems.
publisherThe American Society of Mechanical Engineers (ASME)
titleQuality and Inspection of Machining Operations: Tool Condition Monitoring
typeJournal Paper
journal volume132
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4002022
journal fristpage41015
identifier eissn1528-8935
keywordsForce
keywordsWear
keywordsSensors
keywordsHardware
keywordsSignal processing
keywordsArtificial neural networks
keywordsCondition monitoring
keywordsCutting
keywordsFeature extraction
keywordsSignals
keywordsGrinding
keywordsMilling
keywordsDrilling
keywordsMachining AND Spindles (Textile machinery)
treeJournal of Manufacturing Science and Engineering:;2010:;volume( 132 ):;issue: 004
contenttypeFulltext


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