@article{1ecced99f78c4266bebf89705d997913,
title = "Dynamic Simulations of Manufacturing Processes: Hybrid-Evolving Technique",
abstract = "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.",
keywords = "Gie{\ss}en, Simulation",
author = "Horr, {Amir M.} and Johannes Kronsteiner",
year = "2021",
month = nov,
doi = "10.3390/met11121884",
language = "English",
volume = "11",
journal = "Metals",
issn = "2075-4701",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "12",
}