首页|Research from Guglielmo Marconi University Provides New Study Findings on Machine Learning (A Supervised Machine Learning Model for Regression to Predict Melt Pool Formation and Morphology in Laser Powder Bed Fusion)
Research from Guglielmo Marconi University Provides New Study Findings on Machine Learning (A Supervised Machine Learning Model for Regression to Predict Melt Pool Formation and Morphology in Laser Powder Bed Fusion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on artificial intelligence is the subject of a new report. According to newsoriginating from Rome, Italy, by NewsRx editors, the research stated, “In the additive manufacturing laserpowder bed fusion (L-PBF) process, the optimization of the print process parameters and the developmentof conduction zones in the laser power (P) and scanning speed (V) parameter spaces are critical to meetingproduction quality, productivity, and volume goals.”
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