首页|New Findings from University of Applied Sciences in the Area ofMachine Learning Described (Feasibility Study On Machine LearningMethods for Prediction of Proc ess-related Parameters During Waam Process Using Ss-316l Filler Material)
New Findings from University of Applied Sciences in the Area ofMachine Learning Described (Feasibility Study On Machine LearningMethods for Prediction of Proc ess-related Parameters During Waam Process Using Ss-316l Filler Material)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromHamburg, Germany, by NewsRx journali sts, research stated, “The geometry of objects by means of wirearc additive man ufacturing technology (WAAM) is a function of the quality of the deposited layer s. Theprocess parameters variation and heat flow affect the geometric precision of the parts, when compared tothe actual dimensions.”
HamburgGermanyEuropeCyborgsEmerg ing TechnologiesMachine LearningUniversity of Applied Sciences
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