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Generation of virtual geometric domains for woven textile composites

Generation of virtual geometric domains for woven textile composites

Akpoyomare, A. I., Okereke, M. I. ORCID: 0000-0002-2104-012X and Bingley, M. S. (2019) Generation of virtual geometric domains for woven textile composites. Composite Structures, 236:111624. ISSN 0263-8223 (Print), 1879-1085 (Online) (doi:https://doi.org/10.1016/j.compstruct.2019.111624)

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Abstract

The definition of an appropriate geometric domain is a prerequisite for performing virtual thermo-mechanical analyses on materials. Most of the current methods for generating virtual geometric domains for textile composites rely on complex equations conjured from the machining/manufacturing of the textiles; consequently, an intuitive method for developing a variety of virtual geometric domains for woven textile composites is desirable. The literature describes several techniques for generating geometric models for textile composites using advanced energy minimisation principles and computational imaging tools, but these techniques require specialist equipment, for deducing necessary empirical data, and heuristics to obtain acceptable results. This communication proposes a method for generating virtual geometric models using simple geometric metrics from the topology of the desired woven textiles. We describe and implement a geometric modelling algorithm for generating woven textile composites and show that the proposed technique yields geometric models with comparable characteristics to actual textile fabrics. Due to its modular structure, the proposed algorithm can be readily implemented on any programming platform and adapted to generate bespoke woven textile fabrics. This has been demonstrated by generating CAD models of woven textiles which can be adopted in any pre-processing tool for subsequent analysis in a finite element scheme.

Item Type: Article
Uncontrolled Keywords: Textile composites; Geometric modelling; Meso scale; Virtual domains; Yarns; Cross-sectional shape functions
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 31 Jan 2020 11:10
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/26421

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