Bicriteria Optimization of Technological Parameters in Algorithm for Designing Magnetic Composites

TL;DR

This paper introduces a novel bicriteria optimization algorithm for designing technological parameters, specifically temperature and pressure, to optimize power losses and induction in Soft Magnetic Composites, using scaling and pseudo-state equations.

Contribution

It presents a new bicriteria optimization algorithm utilizing scaling and pseudo-state equations for designing magnetic composite production parameters.

Findings

Optimized parameters for power loss and induction in SMCs.

Developed mathematical models based on hysteresis and power loss data.

Generated feasible solutions for parameter selection in SMC manufacturing.

Abstract

Novel algorithm for designing values of technological parameters for production of Soft Magnetic Composites (SMC) has been created. These parameters are the following magnitudes: hardening temperature $T$ and compaction pressure $p$. They enable us to optimize of power losses and induction. The advantage of the presented algorithm consists in the bicriteria optimization. The crucial role in the presented algorithm play scaling and notion of pseudo-state equation. On the base of these items the mathematical models of the power losses and induction have been created. The models parameters have been calculated on the basis of the power losses characteristics and hysteresis loops. The created optimization system has been applied to specimens of Somaloy 500. Obtained output consists of finite set of feasible solutions. In order to select unique solution an example of additional criterion has been formulated.