铸造技术2025，Vol.46Issue(6)：520-530,11.DOI:10.16410/j.issn1000-8365.2025.5097
机器学习在球墨铸铁研发中的应用
Application of Machine Learning in the Research and Development of Ductile Iron
摘要
Abstract
Data-driven machine learning methods,by establishing complex mapping relationships between material characteristic parameters and target properties,provide a novel paradigm for ductile iron research and development,overcoming the limitations of time and cost inherent in traditional research and development(R&D)approaches.Recent progress in the application of machine learning within the ductile iron R&D process is systematically reviewed.The fundamental implementation framework is elucidated,encompassing data collection,data preprocessing,model construction and training,and model evaluation.The applications of machine learning are summarized in various areas,including microstructure and defect control,prediction of mechanical properties,and prediction of service performance.Critical challenges demanding urgent solutions in machine learning-based ductile iron R&D and applications are discussed.Finally,research directions and future development trends for machine learning-driven ductile iron development are proposed.关键词
机器学习/球墨铸铁/性能预测/缺陷识别/服役行为预测Key words
machine learning/ductile iron/performance prediction/defect identification/service behavior prediction分类
矿业与冶金引用本文复制引用
刘禹,黎振华,何远怀,涂雯雯,韦贺..机器学习在球墨铸铁研发中的应用[J].铸造技术,2025,46(6):520-530,11.基金项目
云南省重大科技专项(202402AG050003) （202402AG050003）
