Robotics & Machine Learning Daily News2024,Issue(Dec.9) :30-31.

South China University of Technology Reports Findings in Machine Learning (A lay er-wise melting defects mitigation method in laser powder bed fusion process bas ed on machine learning and fuzzy inference)

Robotics & Machine Learning Daily News2024,Issue(Dec.9) :30-31.

South China University of Technology Reports Findings in Machine Learning (A lay er-wise melting defects mitigation method in laser powder bed fusion process bas ed on machine learning and fuzzy inference)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - New research on Machine Learning is the subject o f a report. According to news originating fromGuangzhou, People’s Republic of C hina, by NewsRx correspondents, research stated, “Melting defects inLaser Powde r Bed Fusion (LPBF) processes, such as lack of fusion (LOF) or over-melting (OM) , cancause significant deterioration in mechanical properties and surface rough ness of printed parts, potentiallyleading to process failure. Previous attempts to utilize local melt pool-related information for LPBF processcontrol have fa ced limitations due to the high requirements on sensors and data processing, as well as thelack of representativeness of local melt pool information.”

Key words

Guangzhou/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Fuzzy Logic/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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