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    Analytical Model for Prediction of Residual Stress in Dynamic Orthogonal Cutting Process

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 001::page 11002
    Author:
    Huang, Xin-Da
    ,
    Zhang, Xiao-Ming
    ,
    Leopold, Jürgen
    ,
    Ding, Han
    DOI: 10.1115/1.4037424
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Residual stress, characteristic of surface integrity, is a great issue in cutting process for its significant effects on fatigue life and dimension stability of the machined parts. From a practical viewpoint, residual stress is generated in a dynamic tool-part engagement process, instead of a process with nominal cutting loads. This is the challenge that we have to handle, so as to achieve better predictive methods than the previously recorded approaches in literatures which ignore the dynamic effects on residual stress. This paper presents an analytical method for the prediction of residual stress in dynamic orthogonal cutting. A mechanistic model of the dynamic orthogonal cutting is provided, considering the indentation effect of the cutting edge during the wave-on-wave cutting process. Following the calculation of plastic strains by incremental analysis in mechanical loading, analytical solution of the residual stress due to distributed plastic strains in half-plane is obtained based on inclusion theory. Without relaxation procedures, the two-dimensional (2D) distribution of residual stress in dynamic cutting process is predicted for the first time. A delicately designed dynamic orthogonal cutting experiment is realized through numerical control (NC) lathe. The periodic residual stress distribution is predicted using the proposed approach, which is then validated against the X-ray diffraction measurements.
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      Analytical Model for Prediction of Residual Stress in Dynamic Orthogonal Cutting Process

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4251981
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    contributor authorHuang, Xin-Da
    contributor authorZhang, Xiao-Ming
    contributor authorLeopold, Jürgen
    contributor authorDing, Han
    date accessioned2019-02-28T11:02:19Z
    date available2019-02-28T11:02:19Z
    date copyright11/3/2017 12:00:00 AM
    date issued2018
    identifier issn1087-1357
    identifier othermanu_140_01_011002.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251981
    description abstractResidual stress, characteristic of surface integrity, is a great issue in cutting process for its significant effects on fatigue life and dimension stability of the machined parts. From a practical viewpoint, residual stress is generated in a dynamic tool-part engagement process, instead of a process with nominal cutting loads. This is the challenge that we have to handle, so as to achieve better predictive methods than the previously recorded approaches in literatures which ignore the dynamic effects on residual stress. This paper presents an analytical method for the prediction of residual stress in dynamic orthogonal cutting. A mechanistic model of the dynamic orthogonal cutting is provided, considering the indentation effect of the cutting edge during the wave-on-wave cutting process. Following the calculation of plastic strains by incremental analysis in mechanical loading, analytical solution of the residual stress due to distributed plastic strains in half-plane is obtained based on inclusion theory. Without relaxation procedures, the two-dimensional (2D) distribution of residual stress in dynamic cutting process is predicted for the first time. A delicately designed dynamic orthogonal cutting experiment is realized through numerical control (NC) lathe. The periodic residual stress distribution is predicted using the proposed approach, which is then validated against the X-ray diffraction measurements.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAnalytical Model for Prediction of Residual Stress in Dynamic Orthogonal Cutting Process
    typeJournal Paper
    journal volume140
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4037424
    journal fristpage11002
    journal lastpage011002-17
    treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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