首页|Findings from Shandong University of Technology Has Provided New Data on Machine Learning (Laser Powder Bed Fusion Process Optimization of Cocrmo Alloy Assisted By Machine-learning)
Findings from Shandong University of Technology Has Provided New Data on Machine Learning (Laser Powder Bed Fusion Process Optimization of Cocrmo Alloy Assisted By Machine-learning)
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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 originating from Zibo, People’s Republic of China, by NewsRx correspondents, research stated, “Gaussian processregression (GPR) m odel of machine learning method was employed to identify the optimal process window for high-performance CoCrMo alloy in laser powder bed fusion (LPBF), conside ring density (>= 99%) and surface roughness (<= 7 mu m) as key parameters. Additionally, the study exa mined the impactof LPBF parameters on morphology and distribution of defect and surface roughness.”
ZiboPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningShandong University of Technol ogy
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