2014
DOI: 10.4236/msa.2014.514107
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Binary Relations between Magnitudes of Different Dimensions Used in Material Science Optimization Problems Pseudo-State Equation of Soft Magnetic Composites

Abstract: New algoritm for optimizing technological parameters of soft magnetic compozites has been derived on the base of topological structure of the power loss characteristics. In optimization processes of magnitudes obeying scaling it happen binary relations of magnitudes having different dimensions. From mathematical point of view in general case such a procedure is not permissible. However, in a case of the system obeying the scaling law it is so. It has been shown that in such systems binary relations of magnitud… Show more

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Cited by 3 publications
(22 citation statements)
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“…This concept is based on the assumption that power losses in SMC obey the scaling law. The efficiency of this approach has been confirmed in [9]. The scaling is very useful tool due of the three reasons:…”
Section: Optimization Of Power Losses In Soft Magnetic Compositesmentioning
confidence: 83%
See 3 more Smart Citations
“…This concept is based on the assumption that power losses in SMC obey the scaling law. The efficiency of this approach has been confirmed in [9]. The scaling is very useful tool due of the three reasons:…”
Section: Optimization Of Power Losses In Soft Magnetic Compositesmentioning
confidence: 83%
“…By introducing new independent variables, we introduce new scales and corresponding new scaling parameters [8]. We have shown in [8,9] that it is always possible to introduce a new characteristic scale; however, one must investigate whether the considered system possesses corresponding symmetry. This can be known only from investigations of the measurement data.…”
Section: Self-similar Model Of Hysteresis Loopmentioning
confidence: 99%
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“…Whereas in designing the magnetic materials we need analytic formulas returning real values of physical magnitudes which are relevant in this process. Just the mathematical models together with an experimental data constitute powerful tool for designers [18], [19]. In this paper we have derived the simple model which is promising for the mentioned above applications.…”
Section: Discussionmentioning
confidence: 99%