首页|New Machine Learning Study Findings Reported from School of Mechanical Engineeri ng (Technology Development of Novel Autogenous Double Pulse Tungsten Insert Gas Welding Technique To Evaluate the Depth of Penetration, Micro Segregation Via .. .)
New Machine Learning Study Findings Reported from School of Mechanical Engineeri ng (Technology Development of Novel Autogenous Double Pulse Tungsten Insert Gas Welding Technique To Evaluate the Depth of Penetration, Micro Segregation Via .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingfrom Tamil Nadu, India, by NewsRx jo urnalists, research stated, “The present research investigates theeffect of pro cess parameters on the microstructure, micro segregation, and material propertie s of theAutogenous Double Pulse Tungsten Inert Gas Welding (ADP-TIG) of Inconel 625. The optimization ofthe process parameter was evaluated by Response surfac e Methodology (RSM) Box Behnken method.”
Tamil NaduIndiaAsiaCyborgsEmergi ng TechnologiesMachine LearningTechnologyTransition ElementsTungstenSc hool of Mechanical Engineering
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