Data from University of Waterloo Advance Knowledge in Machine Learning (Tailorin g Laser Powder Bed Fusion Process Parameters for Standard and Off-Size Ti6Al4V M etal Powders: A Machine Learning Approach Enhanced by Photodiode-Based Melt Pool …)

Robotics & Machine Learning Daily News2024，Issue(Sep.6) ：101-101.

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Data from University of Waterloo Advance Knowledge in Machine Learning (Tailorin g Laser Powder Bed Fusion Process Parameters for Standard and Off-Size Ti6Al4V M etal Powders: A Machine Learning Approach Enhanced by Photodiode-Based Melt Pool …)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Investigators publish new report on ar tificial intelligence. According to news reportingout of Waterloo, Canada, by N ewsRx editors, research stated, “An integral part of laser powder bedfusion (LP BF) quality control is identifying optimal process parameters tailored to each a pplication, oftenachieved through time-consuming and costly experiments.”Funders for this research include Feddev Ontario.

Key words

University of Waterloo/Waterloo/Canada/North and Central America/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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