首页|Findings in Machine Learning Reported from Hacettepe University (Optimal process parameter determination in selective laser melting via machine learning-guided sequential quadratic programing)
Findings in Machine Learning Reported from Hacettepe University (Optimal process parameter determination in selective laser melting via machine learning-guided sequential quadratic programing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingout of Hacettepe University by NewsRx editors, research stated, “Selective Laser Melting (SLM) is awidely used additive manufacturing method with critical processing parameters such as L aser Power,Scanning Speed, Hatch Distance, and Laser Beam Diameter, which signi ficantly impact process qualityand mechanical properties of fabricated parts li ke Relative Density, Hardness, and Surface Roughness.”
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