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    On Predicting Softening Effects in Hard Turned Surfaces—Part II: Finite Element Modeling and Verification

    Source: Journal of Manufacturing Science and Engineering:;2005:;volume( 127 ):;issue: 003::page 484
    Author:
    Jing Shi
    ,
    C. Richard Liu
    DOI: 10.1115/1.1948402
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A material softening model based on thermal activation energy has been successfully established through tempering experiments in the first part of this study. To apply the model to predicting material softening in hard turned surfaces, the thermal history of work material is needed. In this part, a three-dimensional finite element (FE) model of machining hardened 52100 steel is constructed, and coupled thermal-stress analysis is performed to obtain the material thermal history. Then the material softening model uses the computed thermal history as input to predict the material hardness profiles along the depth into the machined surfaces. Overall, the prediction precisely catches the trend of hardness change along depth and agrees reasonably well with the hardness measurement. What’s more, the sensitivity of material softening to cutting parameters is investigated both quantitatively and qualitatively. Within the investigation range, it is observed that the increase of tool flank wear and feed rate produces severe material softening and a deeper softened layer, while the increase of cutting speed causes significant softening to the surface material but hardly changes the softened depth.
    keyword(s): Temperature , Cutting , Finite element analysis , Turning , Heat , Machining , Wear , Modeling , Steel AND Stress ,
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      On Predicting Softening Effects in Hard Turned Surfaces—Part II: Finite Element Modeling and Verification

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    http://yetl.yabesh.ir/yetl1/handle/yetl/132158
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    contributor authorJing Shi
    contributor authorC. Richard Liu
    date accessioned2017-05-09T00:16:53Z
    date available2017-05-09T00:16:53Z
    date copyrightAugust, 2005
    date issued2005
    identifier issn1087-1357
    identifier otherJMSEFK-27879#484_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/132158
    description abstractA material softening model based on thermal activation energy has been successfully established through tempering experiments in the first part of this study. To apply the model to predicting material softening in hard turned surfaces, the thermal history of work material is needed. In this part, a three-dimensional finite element (FE) model of machining hardened 52100 steel is constructed, and coupled thermal-stress analysis is performed to obtain the material thermal history. Then the material softening model uses the computed thermal history as input to predict the material hardness profiles along the depth into the machined surfaces. Overall, the prediction precisely catches the trend of hardness change along depth and agrees reasonably well with the hardness measurement. What’s more, the sensitivity of material softening to cutting parameters is investigated both quantitatively and qualitatively. Within the investigation range, it is observed that the increase of tool flank wear and feed rate produces severe material softening and a deeper softened layer, while the increase of cutting speed causes significant softening to the surface material but hardly changes the softened depth.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleOn Predicting Softening Effects in Hard Turned Surfaces—Part II: Finite Element Modeling and Verification
    typeJournal Paper
    journal volume127
    journal issue3
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.1948402
    journal fristpage484
    journal lastpage491
    identifier eissn1528-8935
    keywordsTemperature
    keywordsCutting
    keywordsFinite element analysis
    keywordsTurning
    keywordsHeat
    keywordsMachining
    keywordsWear
    keywordsModeling
    keywordsSteel AND Stress
    treeJournal of Manufacturing Science and Engineering:;2005:;volume( 127 ):;issue: 003
    contenttypeFulltext
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