[JFT097] Optimization Execution Using Material Characteristics as Design Variables

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Overview

In order to understand the vibration characteristics of a device, experimental results and the analysis results are correlated. When for example eigenfrequencies do not agree between the analysis results and the experiment results, to make the agreement closer, optimization processing that varies material characteristics such as the Young’s modulus or Poisson’s ratio is useful.
With JMAG, parametric analysis and optimization using material characteristics such as magnetic permeability, electrical resistivity, the Young’s modulus, and specific heat of custom materials used as design variables can be performed.
In this document, how to perform optimization with material characteristics used as design variables is presented.

Kewords: correlation analysis, parametric analysis, optimization, case control, select parameters, select material attribute, material

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