首页|New Study Findings from Universiti Tun Hussein Onn Malaysia Illuminate Research in Machine Learning (Response surface methodology and machine learning optimisat ions comparisons of recycled AA6061-B4C-ZrO2 hybrid metal matrix composites via hot ...)
New Study Findings from Universiti Tun Hussein Onn Malaysia Illuminate Research in Machine Learning (Response surface methodology and machine learning optimisat ions comparisons of recycled AA6061-B4C-ZrO2 hybrid metal matrix composites via hot ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting out of Johor, Mala ysia, by NewsRx editors, research stated, “The optimal conditions of applied fac tors to reuse Aluminium AA6061 scraps are (450, 500, and 550) C preheating tempe rature, (1-15) % Boron Carbide (B4C), and Zirconium (ZrO2) hybrid reinforced particles at 120 min forging time via Hot Forging (HF) process.”
Universiti Tun Hussein Onn MalaysiaJoh orMalaysiaAsiaCyborgsEmerging TechnologiesMachine Learning
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