Robotics & Machine Learning Daily News2024,Issue(Aug.26) :66-67.

New Machine Learning Study Results from University of Science and Technology Bei jing Described (Finite Element Modeling and Simulation of In738 Laser Powder Bed Fusion Process Assisted Via Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Aug.26) :66-67.

New Machine Learning Study Results from University of Science and Technology Bei jing Described (Finite Element Modeling and Simulation of In738 Laser Powder Bed Fusion Process Assisted Via Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Beijing, People’s Repub lic of China, by NewsRx correspondents, research stated, “Finiteelement modelin g and simulation are considered one of the effective methods for optimizing addi tivemanufacturing process windows, which can better capture metallurgical featu res under the interactionof multiple physical fields. However, correctly select ing or obtaining heat source parameters, boundaryconditions, and thermophysical parameters is the biggest challenge of finite element modeling.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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