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    Angle Domain Analytical Model for End Milling Forces

    Source: Journal of Manufacturing Science and Engineering:;1998:;volume( 120 ):;issue: 002::page 252
    Author:
    Li Zheng
    ,
    Steven Y. Liang
    ,
    Shreyes N. Melkote
    DOI: 10.1115/1.2830121
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents the development of an explicit expression of cutting force wave forms in end milling with helical multi-flute cutters. From the relationship of elemental cutting forces and chip load, the net cutting forces are analytically formulated based on the integration of elemental cutting forces in the feed, cross feed, and axial directions. This formulation leads to a solution of force waveforms as algebraic functions of tool geometry, machining parameters, cutting configuration, and work piece material properties. The closed-form nature of the resulting model facilitates force estimation and process optimization without resorting to numerical iterations. The theoretical error of prediction due to the truncation of higher frequency terms is analyzed. It provides a guideline for choosing the model size for given error tolerance. It also offers an understanding of upper bound of prediction error for a known number of approximating terms used in the model. In the paper end milling experimental results were examined over a range of conditions to verify the analytical model in the context of waveform, power spectrum, and model size effect.
    keyword(s): Force , Milling , Cutting , Errors , Functions , Geometry , Spectra (Spectroscopy) , Machining , Stress , Waves , Materials properties , Optimization AND Size effect ,
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      Angle Domain Analytical Model for End Milling Forces

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/120761
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    • Journal of Manufacturing Science and Engineering

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    contributor authorLi Zheng
    contributor authorSteven Y. Liang
    contributor authorShreyes N. Melkote
    date accessioned2017-05-08T23:57:13Z
    date available2017-05-08T23:57:13Z
    date copyrightMay, 1998
    date issued1998
    identifier issn1087-1357
    identifier otherJMSEFK-27323#252_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/120761
    description abstractThis paper presents the development of an explicit expression of cutting force wave forms in end milling with helical multi-flute cutters. From the relationship of elemental cutting forces and chip load, the net cutting forces are analytically formulated based on the integration of elemental cutting forces in the feed, cross feed, and axial directions. This formulation leads to a solution of force waveforms as algebraic functions of tool geometry, machining parameters, cutting configuration, and work piece material properties. The closed-form nature of the resulting model facilitates force estimation and process optimization without resorting to numerical iterations. The theoretical error of prediction due to the truncation of higher frequency terms is analyzed. It provides a guideline for choosing the model size for given error tolerance. It also offers an understanding of upper bound of prediction error for a known number of approximating terms used in the model. In the paper end milling experimental results were examined over a range of conditions to verify the analytical model in the context of waveform, power spectrum, and model size effect.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAngle Domain Analytical Model for End Milling Forces
    typeJournal Paper
    journal volume120
    journal issue2
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.2830121
    journal fristpage252
    journal lastpage258
    identifier eissn1528-8935
    keywordsForce
    keywordsMilling
    keywordsCutting
    keywordsErrors
    keywordsFunctions
    keywordsGeometry
    keywordsSpectra (Spectroscopy)
    keywordsMachining
    keywordsStress
    keywordsWaves
    keywordsMaterials properties
    keywordsOptimization AND Size effect
    treeJournal of Manufacturing Science and Engineering:;1998:;volume( 120 ):;issue: 002
    contenttypeFulltext
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