首页|Study Results from Symbiosis International (Deemed) University Broaden Understan ding of Machine Learning (Surface roughness prediction of AISI D2 tool steel dur ing powder mixed EDM using supervised machine learning)
Study Results from Symbiosis International (Deemed) University Broaden Understan ding of Machine Learning (Surface roughness prediction of AISI D2 tool steel dur ing powder mixed EDM using supervised machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - Research findings on artificial intell igence are discussed in a new report. According to news reporting originating fr om Symbiosis International (Deemed) University by NewsRx correspondents, researc h stated, “Surface integrity is one of the key elements used to judge the qualit y of machined surfaces, and surface roughness is one such quality parameter that determines the pass level of the machined product. In the present study, AISI D 2 steel was machined with electric discharge at different process parameters usi ng Jatropha and EDM oil.”
Symbiosis International (Deemed) Univers ityCyborgsEmerging TechnologiesMachine Learning
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