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contributor authorY. Altintaş
contributor authorW. K. Munasinghe
date accessioned2017-05-08T23:50:42Z
date available2017-05-08T23:50:42Z
date copyrightNovember, 1996
date issued1996
identifier issn1087-1357
identifier otherJMSEFK-27286#514_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/117258
description abstractModular integration of sensor based milling process monitoring and control functions to a proposed CNC system architecture is presented. Each sensor based process control algorithm resides in a dedicated processor in the AT bus with a modular software. The CNC system’s motion control module has been designed to accomodate rapid manipulation of feeds, cutting conditions and NC tool path which may be demanded by machining process control modules in real time. Modular integration of adaptive control of cutting forces, tool condition monitoring, chatter detection and suppression tasks are illustrated as examples. The process control and monitoring modules are serviced in the real-time multi-tasking environment within one millisecond time intervals without disturbing the position control system. The paper present constraints and guidelines in designing CNC systems which allow modular integration of user developed real time machining process control and monitoring applications.
publisherThe American Society of Mechanical Engineers (ASME)
titleModular CNC Design for Intelligent Machining, Part 2: Modular Integration of Sensor Based Milling Process Monitoring and Control Tasks
typeJournal Paper
journal volume118
journal issue4
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.2831061
journal fristpage514
journal lastpage521
identifier eissn1528-8935
keywordsMachining
keywordsSensors
keywordsDesign
keywordsMilling
keywordsProcess monitoring
keywordsComputer numerical control machine tools
keywordsProcess control
keywordsCutting
keywordsFunctions
keywordsPosition control
keywordsForce
keywordsAdaptive control
keywordsMotion control
keywordsAlgorithms
keywordsChatter
keywordsComputer software AND Condition monitoring
treeJournal of Manufacturing Science and Engineering:;1996:;volume( 118 ):;issue: 004
contenttypeFulltext


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