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    Comprehensive Studies on Hot Compaction and Vibration-Assisted Compaction Tests of Aluminum Powder

    Source: Journal of Manufacturing Science and Engineering:;2020:;volume( 143 ):;issue: 001::page 011006-1
    Author:
    Zhou, Qiang
    ,
    Song, Shutao
    ,
    Chen, Quanfang
    ,
    Bai, Yuanli
    DOI: 10.1115/1.4047998
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Aluminum powder compaction was studied using both test and simulation. Cold compaction, hot compaction, and vibration-assisted (cold) compaction tests were conducted to achieve different density ratios. First, the hot compaction test (at 300 °C, compression pressure 140 MPa) improved about 6% compared with cold compaction under the same compression pressure. Second, although the relative density ratio does not obviously improve at a vibration-assisted (cold) compaction, the strength of the specimens made under vibration loading is much better than those of cold compaction. Additionally, finite element models with well-calibrated Drucker–Prager Cap (DPC) material constitutive model were built in abaqus/standard to simulate the powder compaction process. The results of the finite element model have very good correlations with test results up to the tested range, and this finite element model further predicts the loading conditions needed to achieve the higher density ratios. Two exponential equations of the predicted density ratio were obtained by combining the test data and the simulation results. A new analytical solution was developed to predict the axial pressure versus the density ratio for the powder compaction according to DPC material model. The results between the analytical solution and the simulation model have a very good match.
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      Comprehensive Studies on Hot Compaction and Vibration-Assisted Compaction Tests of Aluminum Powder

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4276116
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    contributor authorZhou, Qiang
    contributor authorSong, Shutao
    contributor authorChen, Quanfang
    contributor authorBai, Yuanli
    date accessioned2022-02-05T21:40:36Z
    date available2022-02-05T21:40:36Z
    date copyright10/1/2020 12:00:00 AM
    date issued2020
    identifier issn1087-1357
    identifier othermanu_143_1_011006.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276116
    description abstractAluminum powder compaction was studied using both test and simulation. Cold compaction, hot compaction, and vibration-assisted (cold) compaction tests were conducted to achieve different density ratios. First, the hot compaction test (at 300 °C, compression pressure 140 MPa) improved about 6% compared with cold compaction under the same compression pressure. Second, although the relative density ratio does not obviously improve at a vibration-assisted (cold) compaction, the strength of the specimens made under vibration loading is much better than those of cold compaction. Additionally, finite element models with well-calibrated Drucker–Prager Cap (DPC) material constitutive model were built in abaqus/standard to simulate the powder compaction process. The results of the finite element model have very good correlations with test results up to the tested range, and this finite element model further predicts the loading conditions needed to achieve the higher density ratios. Two exponential equations of the predicted density ratio were obtained by combining the test data and the simulation results. A new analytical solution was developed to predict the axial pressure versus the density ratio for the powder compaction according to DPC material model. The results between the analytical solution and the simulation model have a very good match.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleComprehensive Studies on Hot Compaction and Vibration-Assisted Compaction Tests of Aluminum Powder
    typeJournal Paper
    journal volume143
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4047998
    journal fristpage011006-1
    journal lastpage011006-12
    page12
    treeJournal of Manufacturing Science and Engineering:;2020:;volume( 143 ):;issue: 001
    contenttypeFulltext
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