Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingoriginating from Waterloo, Canada, by NewsRx correspondents, research stated, “The inherently stochasticnature of the laser powder bed fusion (LPBF) process presents a significant challenge in developingdependable and efficient defect detection algorithms that can flexibly adjust to a variety of machine configurationsand process parameters. The present study proposes a machine learning-based approach thatemploys the optical tomography (OT) data acquired during LPBF for identifying defects, specifically lackof fusion and keyhole porosity.”
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