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Improving the design of industrial microwave processing systems through prediction of the dielectric properties of complex multi-layered materials

Katrib, Juliano; Folorunso, Olaosebikan; Dodds, Christopher; Dimitrakis, Georgios; Kingman, Sam W.

Improving the design of industrial microwave processing systems through prediction of the dielectric properties of complex multi-layered materials Thumbnail


Authors

Juliano Katrib

Olaosebikan Folorunso

Christopher Dodds

SAM KINGMAN SAM.KINGMAN@NOTTINGHAM.AC.UK
Pro-Vice Chancellor Faculty of Engineering



Abstract

Rigorous design of industrial microwave processing systems requires in-depth knowledge of the dielectric properties of the materials to be processed. These values are not easy to measure, particularly when a material is multi-layered containing multiple phases, when one phase has a much higher loss than the other and the application is based on selective heating. This paper demonstrates the ability of the Clausius-Mossotti (CM) model to predict the dielectric constant of multi-layered materials. Furthermore, mixing rules and graphical extrapolation techniques were used to further evidence our conclusions and to estimate the loss factor. The material used for this study was vermiculite, a layered alumina-silicate mineral containing up to 10 % of an interlayer hydrated phase. It was measured at different bulk densities at two distinct microwave frequencies, namely 934 and 2143 MHz. The CM model, based on the ionic polarisability of the bulk material, gives only a prediction of the dielectric constant for experimental data with a deviation of less than 5 % at microwave frequencies. The complex refractive index model (CRIM), Landau, Lifshitz and Loyenga (LLL), Goldschmidt, Böttcher and Bruggeman-Hanai model equations are then shown to give a strong estimation of both dielectric constant and loss factor of the solid material compared to that of the measured powder with a deviation of less than 1 %. Results obtained from this work provide a basis for the design of further electromagnetic processing systems for multi-layered materials consisting of both high loss and low loss components.

Citation

Katrib, J., Folorunso, O., Dodds, C., Dimitrakis, G., & Kingman, S. W. (2015). Improving the design of industrial microwave processing systems through prediction of the dielectric properties of complex multi-layered materials. Journal of Materials Science, 50(23), 7591-7599. https://doi.org/10.1007/s10853-015-9319-z

Journal Article Type Article
Acceptance Date Jul 31, 2015
Online Publication Date Aug 7, 2015
Publication Date 2015-12
Deposit Date Nov 4, 2015
Publicly Available Date Nov 4, 2015
Journal Journal of Materials Science
Print ISSN 0022-2461
Electronic ISSN 1573-4803
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 50
Issue 23
Pages 7591-7599
DOI https://doi.org/10.1007/s10853-015-9319-z
Keywords Dielectric Property, Clausius-Mossotti, Mixture Equations, Vermiculite, Microwave Processing
Public URL https://nottingham-repository.worktribe.com/output/759330
Publisher URL http://link.springer.com/article/10.1007%2Fs10853-015-9319-z