Robotics & Machine Learning Daily News2024,Issue(Apr.24) :7-7.

Findings on Robotics Detailed by Investigators at Fuzhou University (Deep Learni ng Assisted Fabrication of Metallic Components Using the Robotic Wire Arc Additi ve Manufacturing)

Robotics & Machine Learning Daily News2024,Issue(Apr.24) :7-7.

Findings on Robotics Detailed by Investigators at Fuzhou University (Deep Learni ng Assisted Fabrication of Metallic Components Using the Robotic Wire Arc Additi ve Manufacturing)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting outof Fuzhou, People’s Republic of China, b y NewsRx editors, the research stated, “PurposeBecause ofthe advantages of high deposition efficiency and low manufacturing cost compared with other additivet echnologies, robotic wire arc additive manufacturing (WAAM) technology has been widely applied forfabricating medium- to large-scale metallic components. The a dditive manufacturing (AM) method is arelatively complex process, which involve s the workpiece modeling, conversion of the model file, slicing,path planning a nd so on.”

Key words

Fuzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robotics/Robots/Technology/Fuzhou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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