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contributor authorAgarwal, Ankit
contributor authorDesai, K. A.
date accessioned2022-02-06T05:43:46Z
date available2022-02-06T05:43:46Z
date copyright6/11/2021 12:00:00 AM
date issued2021
identifier issn1087-1357
identifier othermanu_143_11_111006.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278634
description abstractThis article presents a novel approach to optimize geometric tolerances (flatness and cylindricity) by manipulating the rigidity among finishing and roughing cutting sequences during end milling of thin-walled components. The proposed approach considers the design configuration of the thin-walled component as an input and aims to determine semi-finished geometry such that the geometric tolerance parameters are optimized while performing a finish cutting sequence. The objective is accomplished by combining mechanistic force model, finite element (FE) analysis-based workpiece deflection model, and particle swarm optimization (PSO) technique to determine optimal disposition of material along the length of component thereby regulating rigidity. The algorithm has been validated by determining the rigidity-regulated semi-finished geometries for thin-walled components having straight, concave, and convex configurations. The outcomes of the proposed algorithm are substantiated further by conducting a set of end milling experiments for each of these cases. The results of the proposed strategy are compared with a traditional approach considering no change in the rigidity of component along length of the cut. It is demonstrated that the proposed approach can effectively optimize geometric tolerances for thin-walled components during end milling operation.
publisherThe American Society of Mechanical Engineers (ASME)
titleRigidity Regulation Approach for Geometric Tolerance Optimization in End Milling of Thin-Walled Components
typeJournal Paper
journal volume143
journal issue11
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4051008
journal fristpage0111006-1
journal lastpage0111006-13
page13
treeJournal of Manufacturing Science and Engineering:;2021:;volume( 143 ):;issue: 011
contenttypeFulltext


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