|About this Abstract
||NUMIFORM 2019: The 13th International Conference on Numerical Methods in Industrial Forming Processes
||S-07: Computational Modelling of Scaled Processes and Experiments
||Material Optimisation for Scaled Physical Modelling of Hot Forging Processes
||Bhaskaran Krishnamurthy, Olga Bylya, Keith Davey
|On-Site Speaker (Planned)
Historically, physical modelling was a very important approach for the solving of complex mechanical problems. However, in spite of the significant success of physical modelling in aerodynamics and hydrodynamics, its application to hot forging processes remains challenging. The principal source of difficulty is the significantly functional and nonlinear viscoplastic behaviour that materials undergo during the hot forging process. A question of some importance, which is addressed in this paper, is whether it is possible that physically different materials can exhibit similar mechanical behaviour under certain conditions? Some evidence exists; for example, known experiments with lead that simulate superplastic behaviour at room temperature. This paper examines the possibility that material twins exist at least to some degree of accuracy for those ranges of temperature and strain rates that are representative of forging processes. Presented is a methodology for selecting material twins and the quantification of errors involved and its effect on scaled experimentation.