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Optimization Algorithms for Accurate Estimation of Water Absorption Effect on Dielectric Materials

Abstract:

This paper studies the electrical properties (water absorption, dielectric strength) of (Epoxy) and Ethylene Propylene Rubber (EPR) blend with different content under different environment conditions at atmospheric temperature. the results of the test showed improvement in the dielectric strength with increasing the EPR content in the blends samples and a decrease in water absorption. Artificial Ecosystem-based Optimization (AEO) and Manta ray foraging optimization (MRFO) are optimization approaches for solving optimization problems. They were used to determine the optimal value of the percentage of EPR in the Blend parameter for improving the electrical properties of Epoxy and EPR blend with different content under different environment conditions at atmospheric temperature. The AEO algorithm was a fast and effective method at finding the best values of the percentage of EPR in the Blend parameter comparing with the MRFO technique.