首页|Researchers at Harbin Institute of Technology Report New Data on Machine Learnin g (Machine Learning Classification Applied To the Effect of Afsd Process Paramet ers On Tensile Properties)

Researchers at Harbin Institute of Technology Report New Data on Machine Learnin g (Machine Learning Classification Applied To the Effect of Afsd Process Paramet ers On Tensile Properties)

扫码查看
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 fromWeihai, People’s Republic of China, by NewsRx journalists, research stated, “Additive Friction Stir Deposition(AFSD ) is a key technology in additive manufacturing, where process parameters greatl y impactdeposition layer properties. Currently, there is no established method for systematically improving theseproperties through parameter investigation.”

WeihaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHarbin Institute of Technolo gy

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.12)