首页|Investigators at University of Shanghai for Science and Technology Detail Findin gs in Machine Learning (Thermal-fluid Modeling and Physics-informed Machine Lear ning for Predicting Molten Pool Depth In Single-layer Multi-track Fiber Laser .. .)
Investigators at University of Shanghai for Science and Technology Detail Findin gs in Machine Learning (Thermal-fluid Modeling and Physics-informed Machine Lear ning for Predicting Molten Pool Depth In Single-layer Multi-track Fiber Laser .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originatingfrom Shanghai, People’s Republic of Ch ina, by NewsRx correspondents, research stated, “Understandingthe molten pool d ynamics and accurately predicting its geometry are critical aspects of laser cla dding.The molten pool depth is crucial for the metallurgical bond between layer s, yet it remains difficult todetermine.”
ShanghaiPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningUniversity of Shanghai for Science and Technology
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