首页|Researchers from National Institute of Technology Warangal Report New Studies an d Findings in the Area of Machine Learning (Machine Learning-assisted Wire Arc A dditive Manufacturing and Heat Input Effect On Mechanical and Corrosion Behaviou r of ...)
Researchers from National Institute of Technology Warangal Report New Studies an d Findings in the Area of Machine Learning (Machine Learning-assisted Wire Arc A dditive Manufacturing and Heat Input Effect On Mechanical and Corrosion Behaviou r of ...)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting out of Warangal, India, by NewsRx e ditors, research stated, "Predicting the track forming factor or height-to-width ratio (H/W) in wire arc additive manufacturing is crucial for optimal path plan ning, heat distribution, structural integrity, distortion control, process effic iency, and defect prevention, ensuring high-quality and reliable components. Dif ferent analytical and numerical modeling methods have been introduced to predict the H/W ratio." Financial supporters for this research include Aeronautics Research and Developm ent Board of the Government of India, NIT-Warangal.
WarangalIndiaAsiaCyborgsEmerging TechnologiesMachine LearningNational Institute of Technology Warangal
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