New and more complex casting technologies are growing, and foundries are using innovative methods to reduce cost and energy consumption and improve their product qualities. Numerical techniques, as tools to design and examine the process improvements, are also evolving continuously to embrace modelling of more dynamic systems for industrial applications. This paper will present a fresh approach towards the numerical simulation of dynamic processes using an evolving and dynamic mesh technique. While the conventional numerical techniques have been employed for these dynamic processes using a fixed domain approach, the more realistic evolving approach is used herein to match the complex material processes in new foundries. The underpinning of this new dynamic approach is highlighted by an evolving simulation environment where multiple mesh entities are appended to the existing numerical domain at timesteps. Furthermore, the change of the boundary and energy sources within casting process simulations have rationally been presented and its profound effects on the computational time and resources have been examined. The discretization and solver computational features of the technique are presented and the evolution of the casting domain (including its material and energy contents) during the process is described for semi-continuous casting process applications.

Hybrid physical-data-driven modeling techniques have steadily been developed to address the multi-scale and multi-physical aspects of dynamic process simulations. The analytical and computational features of a new hybrid-evolving technique for these processes are elaborated herein and its industrial applications are highlighted. The authentication of this multi-physical and multi-scale framework is carried out by developing an integrated simulation environment where multiple solver technologies are employed to create a reliable industrial-oriented simulation framework. The goal of this integrated simulation framework is to increase the predictive power of material and process simulations at the industrial scale.

In this work, different friction models available in HyperXtrude had been investigated in the context of hot forward extrusion simulation of aluminum alloys. Extrusion trials were carried out for EN AW 6060 and EN AW 6082 at different temperatures and ram speeds. The extrusion forces as well as material temperatures near the exit of the die were recorded and used for the validation of the simulations. FE-simulations of each extrusion trial were carried out in HyperXtrude. Initially, friction models were calibrated for only two extrusion trials. Then, these calibrated friction models were used to simulate the extrusion trials with different process parameters. Reasonably good agreements were observed between experiments and simulations in terms of extrusion forces. However, the simulations overpredicted the material temperature by almost up to 40 °C for extrusion trials with high ram speed.