DOI: https://doi.org/10.15587/1729-4061.2019.169627

Prediction of the electrical resistance of multilayer carbon fiber composites

Vadym Stavychenko, Svitlana Purhina, Pavlo Shestakov, Maryna Shevtsova, Lina Smovziuk

Abstract


The issues of calculation of electrical phenomena in multilayer carbon fiber composite materials are considered. The method for assessing the reliability of composite material models for modeling electrical phenomena in composite structures is proposed. The method is based on the comparison of the calculated and experimental values of the electrical resistance of material specimens with certain lay-up sequences of the layers. Experimental determination of the electrical resistance of specimens of single-layer and multilayer composites based on two types of carbon fiber reinforcing materials is carried out. The calculation of resistance of the composites on the basis of these materials using the homogeneous model, as well as the layered model of composite material implemented by the finite element method was carried out. The initial data for modeling in the form of the coefficients of the electrical conductivity of the layers were obtained from the experimental results. The comparison of the calculation results using the homogeneous and layered models with the experimental results was carried out. On the basis of the obtained numerical results, as well as distribution analysis of electric potential in the models of the specimens, the application areas of the models were evaluated. According to the results of the analysis, the homogeneous model gives acceptable results with an accuracy of 12 % for materials that have an alternation of layers with different reinforcement angles. For the material where the layers with one reinforcement angle form clusters, the homogeneous model gave an error exceeding 50 %. In all cases considered, the layered model of the material provides high accuracy of modeling with an error less than 10 %. Based on the analysis, practical recommendations are given for modeling electrical phenomena in composite structures.


Keywords


composite material; homogeneous model; layered model; electrical conductivity; finite element method

References


Mohd Radzuan, N. A., Sulong, A. B., Sahari, J. (2017). A review of electrical conductivity models for conductive polymer composite. International Journal of Hydrogen Energy, 42 (14), 9262–9273. doi: https://doi.org/10.1016/j.ijhydene.2016.03.045

Stavychenko, V., Purhina, S., Shestakov, P. (2018). Prediction of specific electrical resistivity of polymeric composites based on carbon fabrics. Eastern-European Journal of Enterprise Technologies, 2 (12 (92)), 46–53. doi: https://doi.org/10.15587/1729-4061.2018.129062

Piche, A., Revel, I., Peres, G. (2011). Experimental and Numerical Methods to Characterize Electrical Behaviour of Carbon Fiber Composites Used in Aeronautic Industry. Experimental and Numerical Methods to Characterize Electrical Behaviour of Carbon Fiber Composites Used in Aeronautic Industry. doi: https://doi.org/10.5772/17563

Zhao, Y., Tong, J., Yang, C., Chan, Y., Li L. (2016). A simulation model of electrical resistance applied in designing conductive woven fabrics. Textile Research Journal, 86 (16), 1688–1700. doi: https://doi.org/10.1177/0040517515590408

Piche, A., Andissac, D., Revel, I., Lepetit, B. (2011). Dynamic electrical behaviour of a composite material during a short circuit. Proceedings of EMC Europe 2011 York. 10th International Symposium on Electromagnetic Compatibility, 128–132.

Holloway, C. L., Sarto, M. S., Johansson, M. (2005). Analyzing Carbon-Fiber Composite Materials With Equivalent-Layer Models. IEEE Transactions on Electromagnetic Compatibility, 47 (4), 833–844. doi: https://doi.org/10.1109/temc.2005.854101

Angelidis, N., Khemiri, N., Irving, P. E. (2003). Damage detection in CFRP laminates using electrical potential techniques. Proceedings of SPIE. The International Society for Optical Engineering. doi: https://doi.org/10.1117/12.508692

Roh, H. D., Lee, S.-Y., Jo, E., Kim, H., Ji, W., Park, Y.-B. (2019). Deformation and interlaminar crack propagation sensing in carbon fiber composites using electrical resistance measurement. Composite Structures, 216, 142–150. doi: https://doi.org/10.1016/j.compstruct.2019.02.100

De Toro Espejel, J. F., Sharif Khodaei, Z. (2017). Lightning Strike Simulation in Composite Structures. Key Engineering Materials, 754, 181–184. doi: https://doi.org/10.4028/www.scientific.net/kem.754.181

Gao, S.-P., Lee, H. M., Gao, R. X.-K., Lim, Q. F., Thitsartarn, W., Liu, E.-X., Png, C. E. (2017). Effective modeling of multidirectional CFRP panels based on characterizing unidirectional samples for studying the lightning direct effect. 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). doi: https://doi.org/10.23919/ursigass.2017.8105177

Athanasopoulos, N., Kostopoulos, V. (2012). Calculation of an equivalent electrical conductivity tensor for multidirectional carbon fiber reinforced materials. Progress in Electromagnetics Research Symposium Proceedings. Moscow, 1013–1018.


GOST Style Citations


Mohd Radzuan N. A., Sulong A. B., Sahari J. A review of electrical conductivity models for conductive polymer composite // International Journal of Hydrogen Energy. 2017. Vol. 42, Issue 14. P. 9262–9273. doi: https://doi.org/10.1016/j.ijhydene.2016.03.045 

Stavychenko V., Purhina S., Shestakov P. Prediction of specific electrical resistivity of polymeric composites based on carbon fabrics // Eastern-European Journal of Enterprise Technologies. 2018. Vol. 2, Issue 12 (92). P. 46–53. doi: https://doi.org/10.15587/1729-4061.2018.129062 

Piche A., Revel I., Peres G. Experimental and Numerical Methods to Characterize Electrical Behaviour of Carbon Fiber Composites Used in Aeronautic Industry // Experimental and Numerical Methods to Characterize Electrical Behaviour of Carbon Fiber Composites Used in Aeronautic Industry. 2011. doi: https://doi.org/10.5772/17563 

A simulation model of electrical resistance applied in designing conductive woven fabrics / Zhao Y., Tong J., Yang C., Chan Y., Li L. // Textile Research Journal. 2016. Vol. 86, Issue 16. P. 1688–1700. doi: https://doi.org/10.1177/0040517515590408 

Dynamic electrical behaviour of a composite material during a short circuit / Piche A., Andissac D., Revel I., Lepetit B. // Proceedings of EMC Europe 2011 York. 10th International Symposium on Electromagnetic Compatibility. 2011. P. 128–132.

Holloway C. L., Sarto M. S., Johansson M. Analyzing Carbon-Fiber Composite Materials With Equivalent-Layer Models // IEEE Transactions on Electromagnetic Compatibility. 2005. Vol. 47, Issue 4. P. 833–844. doi: https://doi.org/10.1109/temc.2005.854101 

Angelidis N., Khemiri N., Irving P. E. Damage detection in CFRP laminates using electrical potential techniques // Proceedings of SPIE. The International Society for Optical Engineering. 2003. doi: https://doi.org/10.1117/12.508692 

Deformation and interlaminar crack propagation sensing in carbon fiber composites using electrical resistance measurement / Roh H. D., Lee S.-Y., Jo E., Kim H., Ji W., Park Y.-B. // Composite Structures. 2019. Vol. 216. P. 142–150. doi: https://doi.org/10.1016/j.compstruct.2019.02.100 

De Toro Espejel J. F., Sharif Khodaei Z. Lightning Strike Simulation in Composite Structures // Key Engineering Materials. 2017. Vol. 754. P. 181–184. doi: https://doi.org/10.4028/www.scientific.net/kem.754.181 

Effective modeling of multidirectional CFRP panels based on characterizing unidirectional samples for studying the lightning direct effect / Gao S.-P., Lee H. M., Gao R. X.-K., Lim Q. F., Thitsartarn W., Liu E.-X., Png C. E. // 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS). 2017. doi: https://doi.org/10.23919/ursigass.2017.8105177 

Athanasopoulos N., Kostopoulos V. Calculation of an equivalent electrical conductivity tensor for multidirectional carbon fiber reinforced materials // Progress in Electromagnetics Research Symposium Proceedings. Moscow, 2012. P. 1013–1018.







Copyright (c) 2019 Vadym Stavychenko, Svitlana Purhina, Pavlo Shestakov, Maryna Shevtsova, Lina Smovziuk

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN (print) 1729-3774, ISSN (on-line) 1729-4061