Luke Borkowski, Masoud Anahid, Alexander Staroselsky*, RIT
Wei Hu, Ansys
Yong Guo, Ansys
Current computational mechanics methods lack coupling between remeshing and microstructure-sensitive models. However, this combination is necessary to consider microstructural evolution during large-deformation, thermomechanical forming operations. A model focused on improving microstructure prediction under forming operations through the advancement of remeshing capabilities integrated with crystal plasticity finite element (CPFE) is developed. To enable coupling between remeshing and a large deformation crystal plasticity model, the current 3D adaptivity (i.e., remeshing) capabilities in LS-DYNA were enhanced to be compatible with a CPFE model. These enhancements include developing remapping techniques that properly account for crystallographic texture evolution during deformation. The techniques used for mapping of microstructure-related variables differ from the smooth interpolation schemes typically used for mapping of other field variables such as stress or displacement. It is demonstrated that combining the nonlinear large deformation capabilities of LS-DYNA, microstructure-sensitive remapping, and a CPFE model yields a simulation framework capable of accurately predicting evolution of location-specific forged part microstructures and shear band formation. Greater microstructural accuracy in large-deformation models can lead to improved strength, life, and manufacturing yield of lightweight forged parts. Use of LS-DYNA MPP capabilities integrated with user routine allowed increase the computational efficiency in more than 17 times in comparison to two cores computation.
Speaker Information
ALEXANDER STAROSELSKY, Ph.D., Sc.D., Associate Director Raytheon Technologies Research Center
Dr. Alexander Staroselsky has over 25 years of experience in mechanics /applied mathematics as well as project development and management expertise. His activities include developing of the constitutive models and their implementation, analysis and prediction of materials non-linear behavior, fracture and fatigue processes, materials microstructure analysis and prediction, numerical methods, multiscale modeling, and simulation of mechanical processes and systems.
Prior to joining Raytheon Technologies Research Center, he worked for Pratt and Whitney, MIT, Courant Institute of Mathematical Sciences, and Russian Academy of Science. He has published over 100 technical papers, four book chapters, has been awarded more than 25 patents and has 12 patent applications pending. Dr. Staroselsky is elected member of the Connecticut Academy of Science and Engineering (CASE). Dr. Staroselsky earned his Ph.D. in Mechanical Engineering at Massachusetts Institute of Technology (MIT) and Sc.D. in Applied Physics from Russian Academy of Science. He also serves as an adjunct faculty at the University of Connecticut.
