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    Microhardness Prediction Based on a Microstructure-Sensitive Flow Stress Model During High Speed Machining Ti-6Al-4V

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 009::page 91003
    Author:
    Wang, Qingqing
    ,
    Liu, Zhanqiang
    DOI: 10.1115/1.4039889
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Exploring the hardening mechanisms during high speed machining (HSM) is an effective approach to improve the fatigue strength and the wear resistance of machined surface and to control the fragmentation of chips in a certain range of hardness. In this paper, the microhardness variation is explored from the perspective of microstructural evolutions, as a direct consequence of the severe deformation during HSM Ti-6Al-4V alloy. A microstructure-sensitive flow stress model coupled the phenomena of grain refinement, deformation twinning, and phase transformations is first proposed. Then the microstructure-sensitive flow stress model is implemented into the cutting simulation model via a user-defined subroutine to analyze the flow stress variation induced by the microstructure evolutions during HSM Ti-6Al-4V. Finally, the relationship between the microhardness and flow stress is developed and modified based on the classical theory that the hardness is directly proportional to the flow stress. The study shows that the deformation twinning (generated at higher cutting speeds) plays a more important role in the hardening of Ti-6Al-4V compared with the grain refinement and phase transformation. The predicted microhardness distributions align well with the measured values. It provides a novel thinking that it is plausible to obtain a high microhardness material via controlling the microstructure alterations during machining process.
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      Microhardness Prediction Based on a Microstructure-Sensitive Flow Stress Model During High Speed Machining Ti-6Al-4V

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    contributor authorWang, Qingqing
    contributor authorLiu, Zhanqiang
    date accessioned2019-02-28T11:03:02Z
    date available2019-02-28T11:03:02Z
    date copyright6/8/2018 12:00:00 AM
    date issued2018
    identifier issn1087-1357
    identifier othermanu_140_09_091003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4252109
    description abstractExploring the hardening mechanisms during high speed machining (HSM) is an effective approach to improve the fatigue strength and the wear resistance of machined surface and to control the fragmentation of chips in a certain range of hardness. In this paper, the microhardness variation is explored from the perspective of microstructural evolutions, as a direct consequence of the severe deformation during HSM Ti-6Al-4V alloy. A microstructure-sensitive flow stress model coupled the phenomena of grain refinement, deformation twinning, and phase transformations is first proposed. Then the microstructure-sensitive flow stress model is implemented into the cutting simulation model via a user-defined subroutine to analyze the flow stress variation induced by the microstructure evolutions during HSM Ti-6Al-4V. Finally, the relationship between the microhardness and flow stress is developed and modified based on the classical theory that the hardness is directly proportional to the flow stress. The study shows that the deformation twinning (generated at higher cutting speeds) plays a more important role in the hardening of Ti-6Al-4V compared with the grain refinement and phase transformation. The predicted microhardness distributions align well with the measured values. It provides a novel thinking that it is plausible to obtain a high microhardness material via controlling the microstructure alterations during machining process.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMicrohardness Prediction Based on a Microstructure-Sensitive Flow Stress Model During High Speed Machining Ti-6Al-4V
    typeJournal Paper
    journal volume140
    journal issue9
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4039889
    journal fristpage91003
    journal lastpage091003-15
    treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 009
    contenttypeFulltext
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