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contributor authorJ. X. Luo
contributor authorD. L. Joynt
contributor authorK. A. Stelson
date accessioned2017-05-08T23:49:40Z
date available2017-05-08T23:49:40Z
date copyrightSeptember, 1996
date issued1996
identifier issn0022-0434
identifier otherJDSMAA-26227#540_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/116672
description abstractComputer numerically controlled (CNC) multi-axis bending is a new metal-forming process used to fabricate long slender workpieces of arbitrary shape and cross section. This process can achieve higher productivity and flexibility than conventional forming processes. However, a manual trial-and-error process has been adopted to find control commands that would produce accurate part shape in mass production. This traditional approach which completely relies on the skills of the machine operator often results in long lead-times and great cost in setting up the bender for a new part. A new methodology has been developed, using the geometrical concept of intrinsic part representation, to model the workpiece and fabricating process. The process model compensates for elastic and fabricating process. The process model compensates for elastic springback, and can be used to predict a set of initial multi-axis control commands which will eventually converge to the final commands through a feedback process. The effectiveness of the method has been demonstrated experimentally.
publisherThe American Society of Mechanical Engineers (ASME)
titleControl of the Fabrication of Long Slender Workpieces of Arbitrary Shape—Part I: Open-Loop Control of the Multi-Axis Bending Process
typeJournal Paper
journal volume118
journal issue3
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.2801178
journal fristpage540
journal lastpage548
identifier eissn1528-9028
keywordsManufacturing
keywordsShapes
keywordsComputer numerical control machine tools
keywordsComputers
keywordsErrors
keywordsFeedback
keywordsPlasticity
keywordsMachinery
keywordsMetalworking AND Mass production
treeJournal of Dynamic Systems, Measurement, and Control:;1996:;volume( 118 ):;issue: 003
contenttypeFulltext


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