首页|Researchers at Virginia Polytechnic Institute and State University (Virginia Tech) Have Published New Study Findings on Machine Learning (Predicting meltpool depth and primary dendritic arm spacing in laser powder bed fusion additive …)
Researchers at Virginia Polytechnic Institute and State University (Virginia Tech) Have Published New Study Findings on Machine Learning (Predicting meltpool depth and primary dendritic arm spacing in laser powder bed fusion additive …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting from Blacksburg, Virginia, by NewsRx journalists, research stated, “The long-term goal of thiswork is to predict and control the microstructure evolution in metal additive manufacturing processes. Inpursuit of this goal, we developed and applied an approach which combines physics-based thermal modelingwith machine learning to predict two important microstructure-related characteristics, namely, the meltpooldepth and primary dendritic arm spacing in Nickel Alloy 718 parts made using the laser powder bed fusion(LPBF) process.”
Virginia Polytechnic Institute and State University (VirginiaTech)BlacksburgVirginiaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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