THERMAL SCIENCE

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Shaofei Wu

CONSTRUCTION OF VISUAL 3-D FABRIC REINFORCED COMPOSITE THERMAL PERFORMANCE PREDICTION SYSTEM

ABSTRACT
In view of the construction of a visualized 3-D thermal performance prediction system for fabric reinforced composites, the thermal constants analyzer was used to analyze and compare the thermal conductivity of the 3-D fabric reinforced composites by experimental methods, such as fiber volume fraction, internal braiding angle, and different yarn reduction methods and fabric structures. The factors influencing the thermal conductivity of 3-D fabric reinforced composites were studied, and the principle of thermal conductivity was analyzed. The thermal expansion coefficients of 3-D fabric reinforced composites in X- and Y-directions are one order of magnitude smaller than those in Z-directions. When aramid fabric is used as reinforcement, the composites with negative thermal expansion coefficients can be designed. The research results provide the necessary basis for the design, application and theoretical research of the 3-D fabric reinforced composites in heat conduction. Through the research of this paper, it lays a foundation for the process selection, performance design and structure optimization of this kind of material, and promotes the further application of 3-D braided composites.
KEYWORDS
three-dimensional fabrics, composite materials, thermal properties, prediction system
PAPER SUBMITTED: 2019-01-04
PAPER REVISED: 2019-03-05
PAPER ACCEPTED: 2019-03-15
PUBLISHED ONLINE: 2019-05-18
DOI REFERENCE: https://doi.org/10.2298/TSCI190104200W
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2019, VOLUME 23, ISSUE Issue 5, PAGES [2857 - 2865]
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Construction of visual 3-D fabric reinforced composite thermal performance prediction system

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence