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    An Efficient IsoScallop Toolpath Planning Strategy Using VoxelBased Computer Aided Design Model

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 003::page 31009
    Author:
    Kukreja, Aman;Pande, S. S.
    DOI: 10.1115/1.4055372
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The primary objective of an efficient computer numerical control (CNC) finishing toolpath strategy is to reduce the machining time and maintain desired surface finish (scallop). Among traditional toolpath planning strategies, isoscallop gives the shortest toolpath while achieving a uniform surface finish. However, it is computationally complex, timeconsuming, and sometimes produces topological inconsistencies in regions of high curvature/gradient. This paper presents a novel voxelbased toolpath planning algorithm to address these issues for the threeaxis milling of freeform surfaces. Two strategies have been proposed, namely, isoscallop and hybrid isoscallop. Gougefree cutter location (CL) points are initially computed from the voxelbased model, followed by isoscallop toolpath generation using a binary search algorithm. The hybrid strategy involves region segmentation to generate an adaptive toolpath in high curvature/gradients regions. The overlapping toolpath is stitched and refined to create an efficient isoscallopbased tool path. The developed system was extensively tested for complex freeform surface parts and was found to be computationally efficient, robust, and accurate in generating a finishing toolpath.
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      An Efficient IsoScallop Toolpath Planning Strategy Using VoxelBased Computer Aided Design Model

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4288709
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    • Journal of Computing and Information Science in Engineering

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    contributor authorKukreja, Aman;Pande, S. S.
    date accessioned2023-04-06T12:53:23Z
    date available2023-04-06T12:53:23Z
    date copyright12/9/2022 12:00:00 AM
    date issued2022
    identifier issn15309827
    identifier otherjcise_23_3_031009.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4288709
    description abstractThe primary objective of an efficient computer numerical control (CNC) finishing toolpath strategy is to reduce the machining time and maintain desired surface finish (scallop). Among traditional toolpath planning strategies, isoscallop gives the shortest toolpath while achieving a uniform surface finish. However, it is computationally complex, timeconsuming, and sometimes produces topological inconsistencies in regions of high curvature/gradient. This paper presents a novel voxelbased toolpath planning algorithm to address these issues for the threeaxis milling of freeform surfaces. Two strategies have been proposed, namely, isoscallop and hybrid isoscallop. Gougefree cutter location (CL) points are initially computed from the voxelbased model, followed by isoscallop toolpath generation using a binary search algorithm. The hybrid strategy involves region segmentation to generate an adaptive toolpath in high curvature/gradients regions. The overlapping toolpath is stitched and refined to create an efficient isoscallopbased tool path. The developed system was extensively tested for complex freeform surface parts and was found to be computationally efficient, robust, and accurate in generating a finishing toolpath.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Efficient IsoScallop Toolpath Planning Strategy Using VoxelBased Computer Aided Design Model
    typeJournal Paper
    journal volume23
    journal issue3
    journal titleJournal of Computing and Information Science in Engineering
    identifier doi10.1115/1.4055372
    journal fristpage31009
    journal lastpage3100912
    page12
    treeJournal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian