1. Differential impedance analysis — Extensions and applications in machine learning.
- Author
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Voss, Leonard, Liedtke, Alfred, and Martin, Robert J.
- Subjects
- *
FOUNDRY sand , *METAL castings , *SAND casting , *IMPEDANCE spectroscopy , *SAND - Abstract
The technique of differential impedance analysis (DIA) has shown promising results in identifying appropriate model orders when applied to electrochemical impedance spectroscopy (EIS) measurements of a given medium. However, even with this method it remains challenging to reliably deduce general material properties of the medium from impedance data alone. Here, we discuss a number of possible extensions and modifications of the technique and, in particular, an extension of the process from mere model order identification to a complete modelling approach. In addition, the combination of DIA and machine learning methods to predict material properties is explored. Our results were validated with impedance measurements between 20 Hz and 1 MHz of moulding sand containing varying amounts of quartz and chromite sand as well as bentonite and carbon. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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