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    Diffusion Theory Applied to Tool Life Stochastic Modeling Under a Progressive Wear Process

    Source: Journal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 003::page 31010
    Author:
    Braglia, Marcello
    ,
    Castellano, Davide
    DOI: 10.1115/1.4026841
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a novel approach to the derivation of the toollife distribution, when the tool useful life ends after a progressive wear process, is presented. It is based on the diffusion theory and exploits the Fokker–Planck equation. The Fokker–Planck coefficients are derived on the basis of the injury theory assumptions. That is, toolwear occurs by detachment of small particles from the tool working surfaces, which are assumed to be identical and timeindependent. In addition, they are supposed to be small enough to consider the detachment process as continuous. The tool useful life ends when a specified total volume of material is thus removed. Toollife distributions are derived in two situations: (i) both Fokker–Planck coefficients are timedependent only and (ii) the diffusion coefficient is neglected and the drift is weardependent. Theoretical results are finally compared to experimental data concerning flank wear land in continuous turning of a C40 carbon steel bar adopting a P10 type sintered carbide insert. The adherence to the experimental data of the toollife distributions derived exploiting the Fokker–Planck equation is satisfactory. Moreover, the toollife distribution obtained, when the diffusion coefficient is neglected and the drift is weardependent, is able to wellrepresent the wear behavior at intermediate and later times.
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      Diffusion Theory Applied to Tool Life Stochastic Modeling Under a Progressive Wear Process

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    https://yetl.yabesh.ir/yetl1/handle/yetl/155479
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    contributor authorBraglia, Marcello
    contributor authorCastellano, Davide
    date accessioned2017-05-09T01:10:01Z
    date available2017-05-09T01:10:01Z
    date issued2014
    identifier issn1087-1357
    identifier othermanu_136_03_031010.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/155479
    description abstractIn this paper, a novel approach to the derivation of the toollife distribution, when the tool useful life ends after a progressive wear process, is presented. It is based on the diffusion theory and exploits the Fokker–Planck equation. The Fokker–Planck coefficients are derived on the basis of the injury theory assumptions. That is, toolwear occurs by detachment of small particles from the tool working surfaces, which are assumed to be identical and timeindependent. In addition, they are supposed to be small enough to consider the detachment process as continuous. The tool useful life ends when a specified total volume of material is thus removed. Toollife distributions are derived in two situations: (i) both Fokker–Planck coefficients are timedependent only and (ii) the diffusion coefficient is neglected and the drift is weardependent. Theoretical results are finally compared to experimental data concerning flank wear land in continuous turning of a C40 carbon steel bar adopting a P10 type sintered carbide insert. The adherence to the experimental data of the toollife distributions derived exploiting the Fokker–Planck equation is satisfactory. Moreover, the toollife distribution obtained, when the diffusion coefficient is neglected and the drift is weardependent, is able to wellrepresent the wear behavior at intermediate and later times.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleDiffusion Theory Applied to Tool Life Stochastic Modeling Under a Progressive Wear Process
    typeJournal Paper
    journal volume136
    journal issue3
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4026841
    journal fristpage31010
    journal lastpage31010
    identifier eissn1528-8935
    treeJournal of Manufacturing Science and Engineering:;2014:;volume( 136 ):;issue: 003
    contenttypeFulltext
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