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Physics-informed machine-learning model of temperature evolution under solid phase processes

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Main Authors: Ethan, King, Yulan, Li, Shenyang, Hu
Format: Book
Language:English
Published: Springer 2023
Subjects:
ShAPE
Online Access:https://link.springer.com/article/10.1007/s00466-023-02289-9
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8023
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spelling oai:localhost:PNK-80232023-04-18T02:32:32Z Physics-informed machine-learning model of temperature evolution under solid phase processes Ethan, King Yulan, Li Shenyang, Hu ShAPE CC BY We model temperature dynamics during Shear Assisted Proccess Extrusion (ShAPE), a solid phase process that plasticizes feedstock with a rotating tool and subsequently extrudes it into a consolidated tube, rod, or wire. Control of temperature is critical during ShAPE processing to avoid liquefaction, ensure smooth extrusion, and develop desired material properties in the extruded products. Accurate modeling of the complicated thermo-mechanical feedbacks between process inputs, material temperature, and heat generation presents a significant barrier to predictive modeling and process design. In particular, connecting micro-structural scale mechanisms of heat generation to macro-scale predictions of temperature can become computationally intractable. 2023-04-18T02:32:32Z 2023-04-18T02:32:32Z 2023 Book https://link.springer.com/article/10.1007/s00466-023-02289-9 https://dlib.phenikaa-uni.edu.vn/handle/PNK/8023 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic ShAPE
spellingShingle ShAPE
Ethan, King
Yulan, Li
Shenyang, Hu
Physics-informed machine-learning model of temperature evolution under solid phase processes
description CC BY
format Book
author Ethan, King
Yulan, Li
Shenyang, Hu
author_facet Ethan, King
Yulan, Li
Shenyang, Hu
author_sort Ethan, King
title Physics-informed machine-learning model of temperature evolution under solid phase processes
title_short Physics-informed machine-learning model of temperature evolution under solid phase processes
title_full Physics-informed machine-learning model of temperature evolution under solid phase processes
title_fullStr Physics-informed machine-learning model of temperature evolution under solid phase processes
title_full_unstemmed Physics-informed machine-learning model of temperature evolution under solid phase processes
title_sort physics-informed machine-learning model of temperature evolution under solid phase processes
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s00466-023-02289-9
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8023
_version_ 1763543256219516928
score 8.891695

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