Robotics & Machine Learning Daily News2024,Issue(Dec.17) :31-32.

Reports Outline Machine Learning Study Findings from Department of Mechanical En gineering (Utilizing Machine Learning To Forecast Mechanical Characteristics of Naoh-treated Jute Fiber Reinforced Composite Materials)

Robotics & Machine Learning Daily News2024,Issue(Dec.17) :31-32.

Reports Outline Machine Learning Study Findings from Department of Mechanical En gineering (Utilizing Machine Learning To Forecast Mechanical Characteristics of Naoh-treated Jute Fiber Reinforced Composite Materials)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Machine Learning have been presented. According to news originatingfrom Nasik, India, by NewsRx corr espondents, research stated, “The prediction of mechanical propertiesin composi te materials is crucial for optimizing their performance in various engineering applications.This study focuses on NaOH treated jute fiber reinforced glass epo xy composites, aiming to predict keymechanical characteristics like flexural st rength, tensile strength, and the hardness.”

Key words

Nasik/India/Asia/Cyborgs/Emerging Te chnologies/Machine Learning/Department of Mechanical Engineering

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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