Characteristics of Power Loss in SMC a Key for Desining the Best Values of Technological Parameters

TL;DR

This paper investigates how optimizing technological parameters like pressure and temperature in soft magnetic materials can minimize power losses, using experimental data and scaling laws to identify optimal conditions.

Contribution

It introduces a method to analyze power loss characteristics through scaling laws, enabling determination of optimal pressure and temperature for minimal losses in soft magnetic components.

Findings

Power losses decrease with increasing pressure and temperature up to critical points.

Scaling law effectively collapses data into a single curve for analysis.

Critical pressure and temperature define optimal parameter values.

Abstract

Optimization of power loss in soft magnetic components basis on the choice of the best technological parameters values. Therefore, the power losses have been measured in Somaloy 500 samples for a wide range of frequency and magnetic induction. These samples have been prepared under a wide range of the hardening temperatures and pressures. The power loss characteristics have been derived by assuming that investigated samples obeyed the scaling law. Agreement obtained between experimental data and the scaling theory has confirmed this assumption. Moreover, the experimental data of the given sample have been collapsed to a single curve which represented measurements for all values of frequency an magnetic induction pick. Therefore, the scaling transforms the losses characteristics from the two dimensional surfaces to the one dimensional curves. The samples were produced according two methods: for different pressures with constant temperature and at different temperatures with constant pressure. In both cases the power losses decrease with increasing pressure and with increasing temperature. These trends in decreasing losses stopped for certain critical values of pressure and temperature, respectively. Above these values the power losses increase suddenly. Therefore, the mentioned above the critical pressure and the critical temperature are sought after solutions for optimal values. In order to reduce the parameters values set the limit curve in the pressure-temperature plane has been derive. This curve constitutes a separation curve between the parameters values corresponding to high and low losses.