首页|National Institute of Technology Raipur Researcher Provides New Insights into Ma chine Learning (Estimation of surface quality for turning operations using machi ne learning approach)
National Institute of Technology Raipur Researcher Provides New Insights into Ma chine Learning (Estimation of surface quality for turning operations using machi ne learning approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Chhattisgarh, India, b y NewsRx editors, the research stated, “The present article examines the effects of machining parameters on machined surfaces to determine optimum turning param eters for AISI-316 under dry machining environment.” Our news journalists obtained a quote from the research from National Institute of Technology Raipur: “L27-OA with different levels of Cutting Speed (CS), Feed Rate (FR) and Depth-of-Cut (DOC) is used for experimentation. Surface Roughness (Ra) and Material Removal Rate (MRR) are considered as the response parameters. Amo ng three Machine Learning (ML) models viz. Support Vector Regression (SVR), Gaus sian Process Regression (GPR) and Gradient Boosting Regression (GBR), GBR yielde d the best results, with significantly higher R2 scores and lower RMSE values.”
National Institute of Technology RaipurChhattisgarhIndiaAsiaCyborgsEmerging TechnologiesMachine Learning
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