A Parametric Model for the Analysis of the Impedance Spectra of Dielectric Sensors in Curing Epoxy Resins

Author:

Kyriazis Alexander1ORCID,Charif Samir1ORCID,Rager Korbinian2ORCID,Dietzel Andreas2ORCID,Sinapius Michael1ORCID

Affiliation:

1. Institut für Mechanik und Adaptronik, Technische Universität Braunschweig, 38106 Braunschweig, Germany

2. Institut für Mikrotechnik, Technische Universität Braunschweig, 38124 Braunschweig, Germany

Abstract

Observing the curing reaction of epoxy resins is a key to quality assurance in fibre composite production. The evaluation of electrical impedance spectra is an established monitoring method. Such impedance spectra contain the physical effects of dipole relaxation, ionic conduction and electrode polarisation, which shift to lower frequencies as curing progresses. In the early stage of the curing reaction, ionic conductivity and electrode polarisation dominate, and in the later stage of the curing reaction, dipole relaxation dominates. Due to the shift of the effects over several frequency decades, it makes sense to evaluate electrical impedance spectra not exclusively at one frequency but over an entire available frequency spectrum. The measured spectral raw data cannot be easily interpreted by a control algorithm and have to be mapped to simpler key indicators. For this purpose, a frequency-dependent model is proposed to address the aforementioned physical effects. With only five free parameters, measured spectra can be described with a relative error of only 2.3%. The shift of the occurring effects to lower frequencies necessitates switching the key indicator used in the progression of the cure reaction.

Funder

Deutsche Forschungsgemeinschaft

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference58 articles.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Effects of through-thickness dielectric sensor on carbon fibre epoxy cure monitoring;Composites Part A: Applied Science and Manufacturing;2024-07

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