Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique

Metals

Amir M. Horr¹  Johannes Kronsteiner¹ 

[1] LKR Light Metals Technologies, Austrian Institute of Technology, 1210 Vienna, Austria;

关键词: hybrid modeling;    dynamic material processes;    evolving domains;    data-driven modeling;    genetic algorithm symbolic regression;    cooling process;   

DOI  :  10.3390/met11121884

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown