Robotics & Machine Learning Daily News2024,Issue(Apr.30) :4-4.

New Findings from Shanghai Jiao Tong University Update Understanding of Machine Learning (Understanding Microstructureproperty Relationships of Hpdc Al-si Allo y Based On Machine Learning and Crystal Plasticity Simulation)

Robotics & Machine Learning Daily News2024,Issue(Apr.30) :4-4.

New Findings from Shanghai Jiao Tong University Update Understanding of Machine Learning (Understanding Microstructureproperty Relationships of Hpdc Al-si Allo y Based On Machine Learning and Crystal Plasticity Simulation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Shangh ai, People’s Republic of China, by NewsRx journalists, researchstated, “Al-Si a lloys manufactured via high-pressure die casting (HPDC) are suitable for a wide rangeof applications. However, the heterogeneous microstructure and unpredictab le pore distribution of Al-Sihigh-pressure die castings result in significant v ariations in the mechanical properties, thus leading to acomplicated microstruc ture-property relationship that is difficult to capture.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Gaussian Processes/Machine Learning/Shangh ai Jiao Tong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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