首页|Federal University Itajuba Reports Findings in Machine Learning (Predicting Tool Life and Sound Pressure Levels In Dry Turning Using Machine Learning Models)
Federal University Itajuba Reports Findings in Machine Learning (Predicting Tool Life and Sound Pressure Levels In Dry Turning Using Machine Learning Models)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Itajuba, Brazil, by NewsRx journalists, research stated, “Dry turning reduces the environmentalimp act and costs associated with cutting fluids, but it challenges the optimization of tool life dueto the generated heat. This study evaluated machine learning m odels to predict tool life (T) during thedry turning of AISI H13 steel by analy zing cutting speed (Vc), feed rate (f), and depth of cut (ap).”
ItajubaBrazilSouth AmericaCyborgsEmerging TechnologiesMachine LearningPerceptronFederal University Itajuba
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