Robotics & Machine Learning Daily News2024,Issue(Mar.27) :25-25.

Researchers at University of Wollongong Have Reported New Data on Machine Learni ng (Online Distortion Simulation Using Generative Machine Learning Models: a Step Toward Digital Twin of Metallic Additive Manufacturing)

Robotics & Machine Learning Daily News2024,Issue(Mar.27) :25-25.

Researchers at University of Wollongong Have Reported New Data on Machine Learni ng (Online Distortion Simulation Using Generative Machine Learning Models: a Step Toward Digital Twin of Metallic Additive Manufacturing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Wollongong, Austral ia, by NewsRx correspondents, research stated, 'In the era of Industry 4.0 and s mart manufacturing, Wire Arc Additive Manufacturing (WAAM) stands at the forefro nt, driving a paradigm shift towards automated, digitalized production. However, online simulation remains a technical barrier toward building a Digital Twin (DT) for metallic AM due to the prolonged computing time of numerical simulations and limitations in accuracy of current data-driven models.'

Key words

Wollongong/Australia/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning/University of Wollongong

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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