Integrity-sensing based on surface roughness of copper conductors for future use in natural fiber composites

Baron P, Lenz P, Wittmann A, Fischer G (2021)


Publication Language: English

Publication Type: Journal article, Letter

Publication year: 2021

Journal

URI: https://ieeexplore.ieee.org/document/9361066

DOI: 10.1109/LSENS.2021.3061143

Abstract

Natural fiber composites can significantly contribute to the necessary reduction of CO2 emissions. Because of scattering material characteristics caused by variation in plant growth, it is necessary to measure the attrition of the derived natural fiber composite material in-situ. This monitoring will be implemented with the aid of a new type of copper line sensor embedded in the flax fiber grid. The line sensor, which will be integrated into the natural fiber composite, will provide information about the remaining service life of the composite material and thus monitor the component’s structural integrity. The key property of copper is the formation of surface roughness under mechanical strain. In this paper proof is provided, that all relevant forms of mechanical strain generate surface roughness on copper conductors. When the mechanical load capacities of conductor and natural fiber composite are matched, it is possible to generate a statement about the composite’s remaining service life via an evaluation of the roughness. The feasibility of matching is proven by two methods which allow to vary the mechanical sensitivity of the copper conductor to mechanical stress. This allows the deployment of the sensor in manifold load scenarios and thus the use of flax fiber composite materials for critical automotive parts.

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APA:

Baron, P., Lenz, P., Wittmann, A., & Fischer, G. (2021). Integrity-sensing based on surface roughness of copper conductors for future use in natural fiber composites. IEEE Sensors Letters. https://dx.doi.org/10.1109/LSENS.2021.3061143

MLA:

Baron, Philipp, et al. "Integrity-sensing based on surface roughness of copper conductors for future use in natural fiber composites." IEEE Sensors Letters (2021).

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