PROJECT TITLE :

Objective Selection of Minimum Acceptable Mesh Refinement for EMC Simulations

ABSTRACT:

Optimization of computational electromagnetics (CEM) simulation models will be costly in each time and computing resources. Mesh refinement is a key parameter in determining the number of unknowns to be processed. In flip, this controls the time and memory needed for a simulation. Hence, it's important to use only a mesh that's good enough for the objectives of the simulation, whether for direct handling of high-fidelity EM models or, even more importantly, for putting in place low-fidelity models in an exceedingly variable-fidelity optimization. On the other hand, in the first stages of an optimization method, a relatively coarse mesh will show whether the governing parameters of the simulation are being appropriately modeled. Because the simulation geometry approaches its target, the mesh definition becomes more refined. This letter presents initial results for an approach to identifying the minimum acceptable mesh coarseness based mostly on the projected evolution of FSV's global distinction live when a model is refined from a very crude illustration instead of the additional usual high-fidelity model. Future work to verify the generality of this letter might give substantial savings in time and effort for CEM analysis in EMC.


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