首页|Investigators at Swinburne University of Technology Detail Findingsin Machine L earning (A Machine Learning Technique for Predictionof Cold Spray Additive Manu facturing Input Process Parameters To Achieve a Desired Spray Deposit Profile)
Investigators at Swinburne University of Technology Detail Findingsin Machine L earning (A Machine Learning Technique for Predictionof Cold Spray Additive Manu facturing Input Process Parameters To Achieve a Desired Spray Deposit Profile)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Melbourne, A ustralia, by NewsRx journalists, research stated, “Cold spray additivemanufactu ring (CSAM) has recently gained increased attention from the research community and industriesdue to its several advantages, such as high metal deposition rate , low working temperature, and abilityto deposit high-reflectivity materials. D espite these advantages, one of the main limitations of CSAM ispoor dimensional accuracy of as-fabricated components.”
MelbourneAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningSwinburne University of Technology
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