模具技术Issue(3)：1-7,7.
金属机械部件的疲劳损伤机制与寿命预测模型
Fatigue damage mechanism and life prediction model of metal mechanical components
摘要
Abstract
The article first introduces the particularity and importance of fatigue damage in the mold industry,clarifies the mechanism of crack initiation and propagation,and further analyzes various main factors affecting fatigue damage of mold metal components.On this basis,a deep learning based life prediction model is elaborated,which closely combines the characteristics and needs of the mold industry.Through a series of simulation studies,the article found that the model has high accuracy and reliability in predicting the life of mold metal components,and can effectively reveal the fatigue damage mechanism of these components.For mold manufacturing and operation enterprises,this not only helps them to have a deeper understanding of the fatigue damage behavior of metal components,but also helps them accurately predict the lifespan of components,so as to carry out more reasonable engineering design and optimization.关键词
金属机械部件/疲劳损伤机制/寿命预测模型/深度学习Key words
metal mechanical components/fatigue damage mechanism/life prediction model/deep learning分类
管理科学引用本文复制引用
程丽琴,万茸,程艳,刘楠..金属机械部件的疲劳损伤机制与寿命预测模型[J].模具技术,2024,(3):1-7,7.基金项目
《颗粒增强高铬铸铁耐磨件及离心复合铸造工艺的关键技术》(编号:18JK1050) （编号:18JK1050）
