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The Influence of Fiber Volume Fraction on Thermal Conductivity of Pultruded Profile

Authors: V. Lukášová, P. Peukert, V. Votrubec


Thermal conductivity in the x, y and z-directions was measured on a pultruded profile that was manufactured by the technology of pulling from glass fibers and a polyester matrix. The results of measurements of thermal conductivity showed considerable variability in different directions. The caused variability in thermal conductivity was expected due fraction variations. The cross-section of the pultruded profile was scanned. An image analysis illustrated an uneven distribution of the fibers and the matrix in the cross-section. The distribution of these inequalities was processed into a Voronoi diagram in the observed area of the pultruded profile cross-section. In order to verify whether the variation of the fiber volume fraction in the pultruded profile can affect its thermal conductivity, the numerical simulations in the ANSYS Fluent were performed. The simulation was based on the geometry reconstructed from image analysis. The aim is to quantify thermal conductivity numerically. Above all, images with different volume fractions were chosen. The results of the measured thermal conductivity were compared with the calculated thermal conductivity. The evaluated data proved a strong correlation between volume fraction and thermal conductivity of the pultruded profile. Based on presented results, a modification of production technology may be proposed.

Keywords: Numerical Simulation, Thermal Conductivity, volume fraction, pultruded profile

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[1] Fiberstruct Overview pultruded products. (online). (cit. 2016-10-24). Dostupné z:
[2] Z. Kořinek, Composite – Ing. Zdenek Korinek, CSc (online). (cit.2016-04-10). Available from
[3] UNITED STATES. DEPT. OF DEFENSE. Composite materials handbook. Volume 3. Polymer matrix composites materials usage, design, and analysis. Washington, D.C.: U.S. Dept. of Defense, 2002, pp. 49, ISBN 978-159-1245-087.
[4] SOCIETY OF PLASTICS ENGINEERS, SPE. Plastics Design Library. Imaging and image analysis for plastics. Norwich, NY: Plastics Design Library, 1999. ISBN 18-842-0781-2.
[5] K. Daďourek, Composite materials – models and properties. 1. ed., Liberec: Technical University of Liberec, 2005, pp 4-14, ISBN 80-708-3972-4.
[6] J.-M. BERTHOLET, Composite materials: mechanical behavior and structural analysis. New York: Springer, c1999. Mechanical engineering series (Berlin, Germany), ch. 4. ISBN 03-879-8426-7.
[7] D. Gay, Composite materials: design and applications. 3ed.. Boca Raton: CRC Press, Taylor, 2015. ISBN 978-146-6584-877.
[8] K. Kupka, Multivariate analysis, regression and predictive. Pardubice: TriloByte Statistical Software, 2013, pp. 116-117.