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    Rigidity Regulation Approach for Geometric Tolerance Optimization in End Milling of Thin-Walled Components

    Source: Journal of Manufacturing Science and Engineering:;2021:;volume( 143 ):;issue: 011::page 0111006-1
    Author:
    Agarwal, Ankit
    ,
    Desai, K. A.
    DOI: 10.1115/1.4051008
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This 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.
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      Rigidity Regulation Approach for Geometric Tolerance Optimization in End Milling of Thin-Walled Components

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4278634
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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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