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contributor authorGuoxian Xiao
contributor authorStephen Malkin
contributor authorKourosh Danai
date accessioned2017-05-08T23:40:49Z
date available2017-05-08T23:40:49Z
date copyrightDecember, 1993
date issued1993
identifier issn0022-0434
identifier otherJDSMAA-26200#667_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/111622
description abstractAn optimization strategy is presented for cylindrical plunge grinding operations. The optimization strategy is designed to minimize cycle time while satisfying production constraints. Monotonicity analysis together with local linearization are used to simplify the non-linear optimization problem and determine the process variables for the optimal cycle. At the end of each cycle, the uncertain parameters of the process are estimated from sensory data so as to provide a more accurate estimation of the optimal process variables for the subsequent cycle. The optimization strategy is validated both in simulation and for actual grinding tests.
publisherThe American Society of Mechanical Engineers (ASME)
titleAutonomous System for Multistage Cylindrical Grinding
typeJournal Paper
journal volume115
journal issue4
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.2899194
journal fristpage667
journal lastpage672
identifier eissn1528-9028
keywordsGrinding
keywordsOptimization
keywordsCycles AND Simulation
treeJournal of Dynamic Systems, Measurement, and Control:;1993:;volume( 115 ):;issue: 004
contenttypeFulltext


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