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contributor authorS. B. Billatos
contributor authorJ. A. Webster
date accessioned2017-05-08T23:41:54Z
date available2017-05-08T23:41:54Z
date copyrightMay, 1993
date issued1993
identifier issn1087-1357
identifier otherJMSEFK-27764#230_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/112257
description abstractThis paper discusses the ballscrew grinding process and provides a newly structured knowledge-based expert system (KBES) developed to automate the process based on fuzzy pattern recognition techniques for shape control with recommendations for further optimization considering practical machining constraints. The KBES offers several advantages including the use of semiskilled operators who can monitor several machines simultaneously, the consistent production of high quality parts, and the significant reduction in cycle time due to automatic adjustment of steadies. A new stepper motor steady design and in-process measuring system are also described.
publisherThe American Society of Mechanical Engineers (ASME)
titleKnowledge-Based Expert System for Ballscrew Grinding
typeJournal Paper
journal volume115
journal issue2
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.2901654
journal fristpage230
journal lastpage235
identifier eissn1528-8935
keywordsGrinding
keywordsExpert systems
keywordsOptimization
keywordsCycles
keywordsPattern recognition
keywordsShapes
keywordsDesign
keywordsMachinery
keywordsMachining AND Engines
treeJournal of Manufacturing Science and Engineering:;1993:;volume( 115 ):;issue: 002
contenttypeFulltext


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