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    Self-Sufficient Modeling of Single Track Deposition of Ti–6Al–4V With the Prediction of Capture Efficiency

    Source: Journal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 001::page 11001
    Author:
    Katinas, Christopher
    ,
    Liu, Shunyu
    ,
    Shin, Yung C.
    DOI: 10.1115/1.4041423
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Understanding the capture efficiency of powder during direct laser deposition (DLD) is critical when determining the overall manufacturing costs of additive manufacturing (AM) for comparison to traditional manufacturing methods. By developing a tool to predict the capture efficiency of a particular deposition process, parameter optimization can be achieved without the need to perform a costly and extensive experimental study. The focus of this work is to model the deposition process and acquire the final track geometry and temperature field of a single track deposition of Ti–6Al–4V powder on a Ti–6Al–4V substrate for a four-nozzle powder delivery system during direct laser deposition with a LENS™ system without the need for capture efficiency assumptions by using physical powder flow and laser irradiation profiles to predict capture efficiency. The model was able to predict the track height and width within 2 μm and 31 μm, respectively, or 3.3% error from experimentation. A maximum of 36 μm profile error was observed in the molten pool, and corresponds to errors of 11% and 4% in molten pool depth and width, respectively. Based on experimentation, the capture efficiency of a single track deposition of Ti–6Al–4V was found to be 12.0%, while that from simulation was calculated to be 11.7%, a 2.5% deviation.
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      Self-Sufficient Modeling of Single Track Deposition of Ti–6Al–4V With the Prediction of Capture Efficiency

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4256081
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    contributor authorKatinas, Christopher
    contributor authorLiu, Shunyu
    contributor authorShin, Yung C.
    date accessioned2019-03-17T10:19:58Z
    date available2019-03-17T10:19:58Z
    date copyright10/8/2018 12:00:00 AM
    date issued2019
    identifier issn1087-1357
    identifier othermanu_141_01_011001.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4256081
    description abstractUnderstanding the capture efficiency of powder during direct laser deposition (DLD) is critical when determining the overall manufacturing costs of additive manufacturing (AM) for comparison to traditional manufacturing methods. By developing a tool to predict the capture efficiency of a particular deposition process, parameter optimization can be achieved without the need to perform a costly and extensive experimental study. The focus of this work is to model the deposition process and acquire the final track geometry and temperature field of a single track deposition of Ti–6Al–4V powder on a Ti–6Al–4V substrate for a four-nozzle powder delivery system during direct laser deposition with a LENS™ system without the need for capture efficiency assumptions by using physical powder flow and laser irradiation profiles to predict capture efficiency. The model was able to predict the track height and width within 2 μm and 31 μm, respectively, or 3.3% error from experimentation. A maximum of 36 μm profile error was observed in the molten pool, and corresponds to errors of 11% and 4% in molten pool depth and width, respectively. Based on experimentation, the capture efficiency of a single track deposition of Ti–6Al–4V was found to be 12.0%, while that from simulation was calculated to be 11.7%, a 2.5% deviation.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleSelf-Sufficient Modeling of Single Track Deposition of Ti–6Al–4V With the Prediction of Capture Efficiency
    typeJournal Paper
    journal volume141
    journal issue1
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4041423
    journal fristpage11001
    journal lastpage011001-10
    treeJournal of Manufacturing Science and Engineering:;2019:;volume( 141 ):;issue: 001
    contenttypeFulltext
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