The finite element method (FEM) is a numerical technique used to perform finite element analysis (FEA) of any given physical phenomenon.
Hardware makers explain how they use analysis to configure their products.
FEA and CFD can solve thermal problems, but there is a difference in the solution accuracy while solving different physics.
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This paper showcases the development of a fast running and highly predictive fatigue failure surrogate model based on data obtained from simulation runs of a complex mechanical system. The goals for the surrogate model were to create a Simulation Democratization tool for design exploration and a Digital Twin tool for field predictive maintenance and adaptive controls.