首页|Study Findings from Saveetha School of Engineering Provide New Insights into Mac hine Learning (Prediction of Machine Learningbased Hardness for the Polycarbona te Using Additive Manufacturing)
Study Findings from Saveetha School of Engineering Provide New Insights into Mac hine Learning (Prediction of Machine Learningbased Hardness for the Polycarbona te Using Additive Manufacturing)
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NETL
NSTL
Investigators publish new report on Ma chine Learning. According to news reporting originating in Chennai, India, by Ne wsRx journalists, research stated, "Additive manufacturing (AM) is a revolutiona ry technology transforming traditional production processes by providing excepti onal mechanical characteristics.Methods The present study aims explicitly to pre dict the hardness of Polycarbonate (PC) parts produced using AM. The objectives of this study are: (1) To investigate the process parameters that impact the abi lity to estimate the hardness of PC materials accurately, and (2) To develop a b est-performing ML model from a range of models that can reliably predict the har dness of additively manufactured PC parts."
ChennaiIndiaAsiaCyborgsEmerging TechnologiesMachine LearningSaveetha School of Engineering
NETL
NSTL
