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    Multi-Physics Investigations on the Gas-Powder Flow and the Molten Pool Dynamics During Directed Energy Deposition Process

    Source: Journal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 008::page 81008-1
    Author:
    Duan, Chenghong
    ,
    Cao, Xiankun
    ,
    Luo, Xiangpeng
    ,
    Shang, Dazhi
    ,
    Hao, Xiaojie
    DOI: 10.1115/1.4062259
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In order to establish a high-fidelity mechanism model for investigating the molten pool behaviors during directed energy deposition (DED) process, a molten pool dynamics model combined with the discrete element method is developed in the present study. The proposed model contains several newly added particle sources to further intuitively reproduce the interaction between the discrete powder particles and the molten pool. Meanwhile, the effects of the nozzle structure, carrier gas, and shielding gas on the feedstock feeding process are simulated in detail using the gas-powder flow model based on the multi-phase flow theory. The gas-powder flow model is used to provide the reasonable outlet velocities, focal distance, and radius of the focal point for the particle sources in the molten pool dynamics model, which solves the difficulty that the motion state of the powder streams obtained by the molten pool dynamics simulation is hard to reproduce the actual situation. Besides, relevant experiments are conducted to verify the developed models. The predicted parameters of the powder streams are consistent with the experiment, and the deviations of the predicted molten pool dimensions are less than 10%. The heat and mass transfer phenomena inside the molten pool are also revealed. Furthermore, the maximum size of the spherical pore defects is predicted to be 18.6 µm, which is underestimated by 7% compared to the microscopic observation. Altogether, the numerical methods developed in this study could further augment and improve the samples for the machine learning modeling of DED process.
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      Multi-Physics Investigations on the Gas-Powder Flow and the Molten Pool Dynamics During Directed Energy Deposition Process

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4294757
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    contributor authorDuan, Chenghong
    contributor authorCao, Xiankun
    contributor authorLuo, Xiangpeng
    contributor authorShang, Dazhi
    contributor authorHao, Xiaojie
    date accessioned2023-11-29T19:26:05Z
    date available2023-11-29T19:26:05Z
    date copyright4/19/2023 12:00:00 AM
    date issued4/19/2023 12:00:00 AM
    date issued2023-04-19
    identifier issn1087-1357
    identifier othermanu_145_8_081008.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294757
    description abstractIn order to establish a high-fidelity mechanism model for investigating the molten pool behaviors during directed energy deposition (DED) process, a molten pool dynamics model combined with the discrete element method is developed in the present study. The proposed model contains several newly added particle sources to further intuitively reproduce the interaction between the discrete powder particles and the molten pool. Meanwhile, the effects of the nozzle structure, carrier gas, and shielding gas on the feedstock feeding process are simulated in detail using the gas-powder flow model based on the multi-phase flow theory. The gas-powder flow model is used to provide the reasonable outlet velocities, focal distance, and radius of the focal point for the particle sources in the molten pool dynamics model, which solves the difficulty that the motion state of the powder streams obtained by the molten pool dynamics simulation is hard to reproduce the actual situation. Besides, relevant experiments are conducted to verify the developed models. The predicted parameters of the powder streams are consistent with the experiment, and the deviations of the predicted molten pool dimensions are less than 10%. The heat and mass transfer phenomena inside the molten pool are also revealed. Furthermore, the maximum size of the spherical pore defects is predicted to be 18.6 µm, which is underestimated by 7% compared to the microscopic observation. Altogether, the numerical methods developed in this study could further augment and improve the samples for the machine learning modeling of DED process.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMulti-Physics Investigations on the Gas-Powder Flow and the Molten Pool Dynamics During Directed Energy Deposition Process
    typeJournal Paper
    journal volume145
    journal issue8
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4062259
    journal fristpage81008-1
    journal lastpage81008-13
    page13
    treeJournal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 008
    contenttypeFulltext
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