首页|Research from National Formosa University in the Area of Machine Learning Descri bed (Construction of a Cutting-Tool Wear Prediction Model through Ensemble Learning)
Research from National Formosa University in the Area of Machine Learning Descri bed (Construction of a Cutting-Tool Wear Prediction Model through Ensemble Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Yunlin, Taiwan, by Ne wsRx correspondents, research stated, “This study begins by conducting side mill ing experiments on SKD11 using tungsten carbide TiAlN-coated end mills to compar e the surface roughness performance between two combinations of milling process parameters (feed rate and radial depth of cut), along with three ultrasonic-assi sted methods (rotary, dual-axis, and rotary combined with dual-axis). The result s suggest that the rotary (z-axis oscillation) ultrasonic-assisted method may pr ovide better performance.”
National Formosa UniversityYunlinTai wanAsiaCyborgsEmerging TechnologiesMachine LearningSupport Vector Regr ession
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