Research progress on establishing of plastic constitutive models for metal materials
The constitutive model reflects the corresponding relationship between flow stress and strain,deformation temperature and strain rate,and has important applications in equipment selection,finite element simulation calculation and other aspects.Several main methods for establishing constitutive models,namely empirical constitutive models,physical constitutive models,and machine learning constitutive models that have been widely used in recent years were reviewed.The establishing process of the empirical constitutive models is simple,but it is cannot explain the mechanism of material deformation at the micro level.In contrast,although the establishment of physical constitutive models is complex,its prediction accuracy is superior to empirical constitutive models due to its inclusion of micro-scopic mechanism information.Compared to the first two modeling methods,machine learning constitutive models have higher prediction accuracy and simpler modeling methods.Using VOSviewer and CiteSpace bibliometric software,the statistical analysis was conducted on the modeling methods of metal material constitutive models.The current research status and cooperation relationships among relevant countries and institutions in the field were obtained.The analysis shows that China is the most active in the research of metal material constitutive models,and the use of machine learning for constitutive modeling has been a hot topic in recent years.And with the rapid development of ar-tificial intelligence technology,using machine learning to establish constitutive models will be the future development direction.
metal materialempirical constitutive modelphysical constitutive modelmachine learning constitutive modelbibliomet-rics
NETL
NSTL
万方数据
