2D hierarchical heat transfer computational model of natural fiber bundle reinforced composite

H. Wang, Y. Xiao, Q. H. Qin*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    17 Citations (Scopus)

    Abstract

    In this paper, a two-dimensional (2D) hierarchical computational model was developed for analysis of heat transfer in unidirectional composites filled with a doubly periodic natural fiber bundle. The reinforcement in the composite encloses a large number of small lumens, which hints that the composite, consisting of matrix and natural fiber bundles, involves structures at several level scales. In the model, the unit Representative Volume Element (RVE) of the composite, with fibers arranged periodically, was taken into consideration and equivalent models were converted from differently scaled RVEs by a two-step homogenized procedure. Subsequently, numerical simulation of the heat-transfer process in each model was performed by finite element analysis and the overall transverse thermal conductivity of each model was obtained numerically. To verify the developed composite models, an optional interrelationship between the overall thermal conductivity of the equivalent natural fiber bundle and the solid region phase in it was obtained for the first-step homogenization and was then compared with analytical or numerical results from other methods. Finally, a sensitivity analysis was conducted with the models to investigate how changes in the values of important variables, such as thermal conductivity and volume fraction of the constituent, can affect the effective thermal properties of the composite.

    Original languageEnglish
    Pages (from-to)268-276
    Number of pages9
    JournalScientia Iranica
    Volume23
    Issue number1
    DOIs
    Publication statusPublished - 2016

    Fingerprint

    Dive into the research topics of '2D hierarchical heat transfer computational model of natural fiber bundle reinforced composite'. Together they form a unique fingerprint.

    Cite this