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Simulation of Additive Manufacturing...

Hedreen, Mark .

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Simulation of Additive Manufacturing Process Physics and Properties in Powder Bed Electron-Beam Melting of Ti-6Al-4V.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Simulation of Additive Manufacturing Process Physics and Properties in Powder Bed Electron-Beam Melting of Ti-6Al-4V./
作者:	Hedreen, Mark .
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	168 p.
附註:	Source: Masters Abstracts International, Volume: 81-11.
Contained By:	Masters Abstracts International81-11.
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27672620
ISBN:	9798641790596

Simulation of Additive Manufacturing Process Physics and Properties in Powder Bed Electron-Beam Melting of Ti-6Al-4V.
Hedreen, Mark .

Simulation of Additive Manufacturing Process Physics and Properties in Powder Bed Electron-Beam Melting of Ti-6Al-4V. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 168 p.

Source: Masters Abstracts International, Volume: 81-11.

Thesis (Master's)--University of Washington, 2020.

This item must not be sold to any third party vendors.

Electron-Beam Melting (EBM) is a novel additive manufacturing process that is capable of producing production-quality parts. However, part quality and microstructure are still highly variable. In order to improve the ability to develop better process parameters, experimental and numerical methods were preliminarily developed to better understand the process physics and phenomena. The state of the art in EBM process and process simulation is discussed and areas in need of further development are identified. An infrared camera is calibrated and used to attempt to measure temperatures in situ. A coupled computational fluid dynamics-thermal model is implemented in ANSYS Fluent in order to simulate the meltpool dynamics and heat transfer. This modeling approach allows for accurate resolution of process physics while avoiding excessive computational cost or time. Predicted and experimental melt pool topologies are compared for differing process and component conditions and with similar data. The effects of part geometry and process parameters on solidification rates and other microstructural characteristics are discussed and compared with experimental data. The experimental and numerical data from this work is compared with similar data from the literature and future improvements and developments are discussed.

ISBN: 9798641790596Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Additive manufacturing

Simulation of Additive Manufacturing Process Physics and Properties in Powder Bed Electron-Beam Melting of Ti-6Al-4V.
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300 $a 168 p.
500 $a Source: Masters Abstracts International, Volume: 81-11.
500 $a Advisor: Mamidala, Ramulu.
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506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a Electron-Beam Melting (EBM) is a novel additive manufacturing process that is capable of producing production-quality parts. However, part quality and microstructure are still highly variable. In order to improve the ability to develop better process parameters, experimental and numerical methods were preliminarily developed to better understand the process physics and phenomena. The state of the art in EBM process and process simulation is discussed and areas in need of further development are identified. An infrared camera is calibrated and used to attempt to measure temperatures in situ. A coupled computational fluid dynamics-thermal model is implemented in ANSYS Fluent in order to simulate the meltpool dynamics and heat transfer. This modeling approach allows for accurate resolution of process physics while avoiding excessive computational cost or time. Predicted and experimental melt pool topologies are compared for differing process and component conditions and with similar data. The effects of part geometry and process parameters on solidification rates and other microstructural characteristics are discussed and compared with experimental data. The experimental and numerical data from this work is compared with similar data from the literature and future improvements and developments are discussed.
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650 4 $a Mechanical engineering. $3 649730
650 4 $a Computational physics. $3 3343998
650 4 $a Materials science. $3 543314
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653 $a Computational fluid dynamics
653 $a Electron beam melting
653 $a Powder bed fusion
653 $a Process modeling
653 $a Ti-6Al-4V
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690 $a 0794
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