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    An Enhanced Cutting Force Model for Face Milling With Variable Cutter Feed Motion and Complex Workpiece Geometry

    Source: Journal of Manufacturing Science and Engineering:;1997:;volume( 119 ):;issue: 4A::page 467
    Author:
    F. Gu
    ,
    P. Bandyopadhyay
    ,
    S. G. Kapoor
    ,
    R. E. DeVor
    DOI: 10.1115/1.2831176
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An enhanced model for the prediction of static cutting forces in face milling is presented. The key features of the model include the ability to handle complex work-piece geometry, two-dimensional cutter feed paths, multiple pass machining, and effects of machine set-up errors. A two-dimensional boundary representation scheme is used to describe the workpiece geometry which may contain holes, slots, and other complex geometrical features. Variable cutter feed paths are represented by a combination of linear and circular arcs. In view of this and the complex workpiece geometry, a new algorithm for cutter-workpiece engagement determination is developed. Several sources of machine set-up error such as spindle and cutter axis tilt, and cutter center offset runout are modeled and their individual as well as combined effects on key machining process variables such as the axial and the radial depth of cut illustrated. Results of model verification experiments are reported for different workpiece geometry and cutter feed paths. A comparison of the predicted and measured forces shows good agreement.
    keyword(s): Force , Motion , Cutting , Geometry , Milling , Errors , Machinery , Machining , Spindles (Textile machinery) AND Algorithms ,
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      An Enhanced Cutting Force Model for Face Milling With Variable Cutter Feed Motion and Complex Workpiece Geometry

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/118995
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    • Journal of Manufacturing Science and Engineering

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    contributor authorF. Gu
    contributor authorP. Bandyopadhyay
    contributor authorS. G. Kapoor
    contributor authorR. E. DeVor
    date accessioned2017-05-08T23:54:02Z
    date available2017-05-08T23:54:02Z
    date copyrightNovember, 1997
    date issued1997
    identifier issn1087-1357
    identifier otherJMSEFK-27304#467_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/118995
    description abstractAn enhanced model for the prediction of static cutting forces in face milling is presented. The key features of the model include the ability to handle complex work-piece geometry, two-dimensional cutter feed paths, multiple pass machining, and effects of machine set-up errors. A two-dimensional boundary representation scheme is used to describe the workpiece geometry which may contain holes, slots, and other complex geometrical features. Variable cutter feed paths are represented by a combination of linear and circular arcs. In view of this and the complex workpiece geometry, a new algorithm for cutter-workpiece engagement determination is developed. Several sources of machine set-up error such as spindle and cutter axis tilt, and cutter center offset runout are modeled and their individual as well as combined effects on key machining process variables such as the axial and the radial depth of cut illustrated. Results of model verification experiments are reported for different workpiece geometry and cutter feed paths. A comparison of the predicted and measured forces shows good agreement.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Enhanced Cutting Force Model for Face Milling With Variable Cutter Feed Motion and Complex Workpiece Geometry
    typeJournal Paper
    journal volume119
    journal issue4A
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.2831176
    journal fristpage467
    journal lastpage475
    identifier eissn1528-8935
    keywordsForce
    keywordsMotion
    keywordsCutting
    keywordsGeometry
    keywordsMilling
    keywordsErrors
    keywordsMachinery
    keywordsMachining
    keywordsSpindles (Textile machinery) AND Algorithms
    treeJournal of Manufacturing Science and Engineering:;1997:;volume( 119 ):;issue: 4A
    contenttypeFulltext
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