RESEARCH PAPER · Chinese Control and Decision Conference (CCDC) · 2020
Quality prediction method for aluminum alloy ingot based on XGBoost
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Data-Driven Optimization Method for Aluminum Alloy Casting Process Parameters and Alloy Composition
Chinese Control and Decision Conference (CCDC) · 2021-05-22
LI Sheng-chao, Shen Yan, Zhonghua Cao, Shixin Liu, Dali Chen
Read original paper ↗ ·Industry 4.0 Foundry Data Management and Supervised Machine Learning in Low-Pressure Die Casting Quality Improvement
International Journal of Metalcasting · 2022-03-14
Tekin Ç. Uyan, Kevin Otto, Maria Inês Silva, Pedro Vilaça, Elvan Armakan
Read original paper ↗ ·Data-driven Methods for Quality Prediction of Aluminum Alloy Ingots
IEEE International Conference on Networking, Sensing and Control (ICNSC) · 2022-12-15
Minghao Yao, Wanyi Xiao, Wei Zhao, Shixin Liu
Read original paper ↗ ·Data-Driven Prediction of Casting Defects in Magnesium High-Pressure Die Casting Using Machine Learning
International Journal of Metalcasting · 2025-04-01
Slava Pachandrin, Norbert Hoffmann, Klaus Dilger, Markus Rokicki, Claudia Niederée, Lukas Stürenburg, Hendrik Noske, Berend Denkena, Jonas Kallisch, Christoph Wunck
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