#22. Multiscale Solidification Modeling
- Joel Berry, Lawrence Livermore National Laboratory, USA (email@example.com)
- Aurélien Perron, Lawrence Livermore National Laboratory, USA
- Jean-Luc Fattebert, Oak Ridge National Laboratory, USA
- Andrea Jokisaari, Idaho National Laboratory, USA
- Nana Ofori-Opoku, Canadian Nuclear Laboratories, Canada
DescriptionSolidification processing techniques for metals and alloys have been developed over the centuries to manufacture complex parts with specific properties and performance. Research over the past several decades has made it abundantly clear that solidification, from conventional casting to additive manufacturing (AM), is a prototypical multiscale process. Important length scales span from atomistic to macroscopic, and characteristic time scales span from sub-nanoseconds to hours. Modern developments include the rise of AM techniques (driving heightened interest in rapid solidification), a significant expansion of alloy diversity and complexity (e.g. to multi-principal element or high-entropy alloys), and the adoption of machine learning methods in simulations, data analysis, and process control. A more comprehensive understanding of complex solidification processes and progress in predictive simulation capabilities will require fuller integration of knowledge and insight from multiple theoretical approaches. The objective of this symposium is to discuss the most recent advances in solidification modeling and experiments, with the goal of identifying strategies for more effective integration of atomistic, mesoscale, thermodynamic, and data-based approaches (e.g., ab initio, molecular dynamics, phase field, cellular automata, CALPHAD, machine learning).
We invite contributions on broader topics encompassing solidification − such as nucleation, phase transformations, transport, and non-equilibrium phenomena − that support advances in basic science for advanced manufacturing. Within these general categories, contributions should focus on, but are not limited to, morphological instabilities and pattern formation, micro-segregation, solid-liquid interfaces, undercooling/superheating, fluid flow effects, mushy zone dynamics, equilibrium and non-equilibrium thermodynamics, kinetics, and microstructure formation and evolution. Ideally, contributions should couple modeling and experimental results across the scales for pure elements and/or complex multi-component systems and should include the effects of processing techniques and parameters on structure-property relationships.
Confirmed Keynote Speakers• Patrick Grant (Oxford University, United Kingdom)
• Mathis Plapp (French National Centre for Scientific Research, France)
• Damien Tourret (IMDEA Materials Institute, Spain)