Fatigue damage mechanism and life prediction model of metal mechanical components
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.
metal mechanical componentsfatigue damage mechanismlife prediction modeldeep learning
国家科技期刊平台
NSTL
万方数据
