Semnan University Researcher Publishes New Studies and Findings in the Area of M achine Learning (Interpretation of fatigue lifetime prediction by machine learni ng modeling in piston aluminum alloys under different manufacturing and loading ...)

Robotics & Machine Learning Daily News2024，Issue(Mar.21) ：34-35.

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Semnan University Researcher Publishes New Studies and Findings in the Area of M achine Learning (Interpretation of fatigue lifetime prediction by machine learni ng modeling in piston aluminum alloys under different manufacturing and loading ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news originating from Semnan, Iran, by NewsRx ed itors, the research stated, “Various input variables, including corrosion time, fretting force, stress, lubrication, heat-treating, and nano-particles, were eva luated by modeling of stress-controlled fatigue lifetimes in AlSi12CuNiMg alumin um alloy of the engine pistons with different machine learning (ML) techniques.”

Key words

Semnan University/Semnan/Iran/Asia/A luminum/Cyborgs/Emerging Technologies/Light Metals/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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