Textile research modeling

Modelling the processes of textile technology is perhaps the most difficult and complex area of textile research. Models of this type involve an additional layer of complexity associated with the difficulties in describing a direct link between the properties of the input product, the parameters of the process, and the properties of the output product. 

Scallan AM (1971) Quantitative Picture of Fringed Micellar Model of Cellulose. Textile Research Journal, 41( ) 647-53... 

Kabeya H, Kannokor AK, Kamata Y. Influence of surface roughness of woven geotextiles on interfacial Motional behaviom-evaluation through model experiments. Textile Research J 1993 63 604-10. 

Ariadurai SA, Potluri P. Modeling the in-plane permeability of woven geotextiles. Textile Research J 1999 69 345-51. 

Anadirrai, S. P, Potluri, P. and Whyte, I. L. (1999), Modelling the in-plane per-meabihty of woven geotextiles. Textile Research Journal, 69 (5), 345-351. Peirce, F. T. (1947), Geometrical principles applicable to the design of functional fabrics. Textile Research Journal, 17,123-134. 

Realff, M. L., Boyce, M. C. and Backer, S. (1997), A micromechanical model of the tensile behavior of woven-fabric . Textile Research Journal, 67(6), 445-459. 

Cai, Z., 1995. A nonlinear viscoelastic model for describing the deformation behaviour of braided fiber seals , Textile Research Journal, 65(8), 461—470. 

B. Ascioglu, S. Adanur, L. Gumusel, and H. Bas, "Modeling of Transverse Direction Thermal Conductivity in Micro-nano Fiber-reinforced composites," Textile Research Journal, vol. 79, pp. 1059-1066, 2009. 

Rawal A and Davies P J (2006), Empirical Modelling of Filament Area in Melt Extruded Net Structures , Indian Journal of Fiber and Textile Research, 31, 241-247. 

Li, Y. and B. Holcombe, A two-stage sorption model of the coupled diffusion of moisture and heat in wool fabrics. Textile Research Journal, 1992, 62(4), 211-217. 

Wang, X., Khan, Z., Lim, A., Wang, L., Beltran, R. (2009), An artificial neural network-based hairiness prediction model for worsted wool yarns, Textile Research Journal, 79 (8), pp. 714-720 Weismann, F. A. (1885), On Germinal Selection as a Source of Definite Variation, BiblioBazaar (new ed., 2008)... 

Conclusion with regard to stock of hypotheses and model Two important actors of the supply chain (auxiliary producers and textile finishers) have been involved in the ARS-system. The clothing industry and the commercial enterprises (bulk good) did not participate. Although the latter supply directly to the customers, assessment systems concerning process related emissions (ARS or OKOTEX 1000) have not yet been of interest (hypotheses 8). The ARS-system and its environmental requirements for waste water motivated the commercial actors in the supply chain to apply to (to strive for ) more transparency and for an environmentally friendly (orientation in the choice of products (hypotheses 7). In addition, (at the) auxihaty producers research activities have been activated, (hypotheses 2). 

In the study of a sort of textile fabric, its permeability to air has been tested. The research objective was to obtain a mathematical model for air permeability... 

The first program (obtained from Dr. Leo J. Lynch, Division of Textile Physics Wool Research Labs., 338 Blaxland Rd., Rydel Sydney, NSW Australia.) uses the model to predict oq and B at min as estimates for the second program. The second program (obtained from Dr. Henry A. Resing, Dept, of Chemistry, Code 6173, Naval Research Labs., Washington, DC 20390) uses numerical integration techniques to calculate the parameters for the best least squares fit [see Figure 2 solid lines for Ti and T2 curves... 

Cichocka A., Bruniaux R, Koncar V. (2007) Modelling of Wtual Garment Design in 3D , Research Journal of Textile and Apparel 11(4) 55-63. 

Textile modelling is a multidisciplinary area of research based on a combination of fundamental and applied science. Information on modelling textile structures can be found in textile-orientated journals as follows ... 

This chapter begins with an overview of systems theory then a model that depicts the textiles recycling processes, particularly as it pertains to apparel. After that, a micro-macro model using social systems theory is presented. Finally, a synthesis of how systems theory provides a useful tool to project future trends for the textile and apparel recycling process is presented. It is important to note that this work is based primarily on the processes as they are in the United States. The research is based on over five years of qualitative data collection on, primarily, apparel and other fashion products consumed throughout the USA and the world. 

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