首页|Investigators from Commonwealth Scientific and Industrial Research Organisation (CSIRO) Zero in on Machine Learning (Machine Learning-assisted In-situ Adaptive Strategies for the Control of Defects and Anomalies In Metal Additive Manufactur ing)
Investigators from Commonwealth Scientific and Industrial Research Organisation (CSIRO) Zero in on Machine Learning (Machine Learning-assisted In-situ Adaptive Strategies for the Control of Defects and Anomalies In Metal Additive Manufactur ing)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Clayton, Australia, b y NewsRx correspondents, research stated, “In metal additive manufacturing(AM), the material microstructure and part geometry are formed incrementally. Consequ ently,the resulting part could be defect- and anomaly -free if sufficient care is taken to deposit each layer underoptimal process conditions.”
ClaytonAustraliaAustralia and New Ze alandCyborgsEmerging TechnologiesMachine LearningCommonwealth Scientific and Industrial Research Organisation (CSIRO)
NETL
NSTL
