Dept. of Materials Science and Engineering
Oregon Graduate Institute of Science & Technology
The most fundamental step in the development of a predictive model for microstructure and residual stress distribution in steels is the accurate representation of the transient temperature field. Three constituents of a database of thermophysical properties, namely the thermal conductivity, volumetric specific heat capacity and convective heat transfer coefficient, were isolated and their effects quantified on the accuracy of temperature field predictions using finite element analysis (FEA). The most critical parameter in the heat transfer process was ultimately identified to be the temperature dependent convective heat transfer coefficient. It was determined using an inverse heat transfer method, which was successfully applied to accurately establish the thermal boundary conditions for an arbitrary 3D steel geometry. The temperature dependency of the volumetric specific heat capacity in the transformation range of temperatures has to be known a priori, for which a reliable model describing alloy dependent reaction kinetics has to be developed first. Thermal conductivity and its dependency on temperature have secondary effects on the accuracy of FEA predictions. The impact of the outcome of this study lies in its relevance to the heat treatment industry.
Iyer, Kaushik A., "Quantitative characterization of thermophysical properties in computational heat transfer" (1993). Scholar Archive. 166.