부산대학교 도서관

Empirically-based models are widely used throughout the industry to describe the evolution of microstructure during the thermomechanical treatment of steel. There are growing demands for greater accuracy of prediction over a wider range of steel composition and operating conditions. Both industry and universities worldwide are developing new models to meet these demands. This paper reviews some of the key issues and concludes that it is the development of physically-based models, tuned with actual process data, that has the potential to satisfy this need. [ABSTRACT FROM AUTHOR]