This project develops and validates a material model for AM50A magnesium alloy through experimental and numerical simulations. The model is then applied using finite element analysis to predict the behavior of a steering wheel armature under impact.
This paper details a methodology using finite element analysis (FEA) to convert hardness numbers for polymers into usable material parameters. It describes how simulations of hardness tests were modeled in LS-DYNA and optimized with LS-OPT to establish a relationship between hardness and the material properties required for FEA.
S. Markus, E. N. Houstis, A.C. Catlin, J.R. Rice, P. Tsompanopoulou, E. Vavalis, D. Gottfried, and Ke Su
This technical paper describes a process for creating as-built computational models using non-destructive characterization data to improve the accuracy of finite element analysis. The authors illustrate how simulating a part with its actual, as-built features—like asymmetries or defects—can produce significantly different and more realistic results compared to simulations based on idealized, as-designed models.
This paper describes PELLPACK, a comprehensive Problem Solving Environment (PSE) for solving problems involving partial differential equations. It highlights the role of Finite Element Analysis (FEA) by detailing how the system integrates various FEA solvers, mesh generators, and parallel computing techniques to simplify complex engineering and scientific simulations.
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