Robotics & Machine Learning Daily News2024,Issue(Aug.7) :20-20.

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)

Robotics & Machine Learning Daily News2024,Issue(Aug.7) :20-20.

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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Abstract

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.”

Key words

Melbourne/Australia/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning/Swinburne University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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