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The current work incorporates an experimental study on the effect of fiber cross sectional shape and fibre diameter on moisture transmission properties of the fabric. Water vapour transmission of the fabrics was measured using the PERME-TEST. In plane liquid flow through the fabric was measured using a gravimetric in-plane wicking tester and vertical movement of liquid along the fibres against gravity was also observed using a vertical wicking tester. With the change in shape factor and fibre diameter, it is seen that with increase in fibre specific surface area wicking rate through fabric increases, whereas water vapour permeability of the fabric reduces.

Moisture flow through blended material is a complex phenomenon. Clothing should possess good water vapour as well as liquid moisture transmission property, for providing the thermophysiological clothing comfort. The clothing should take up the moisture from the skin as well as transmit it to the atmosphere. Higher hydrophilicity of a material is known for good absorption, but how it really helps to transmit the moisture, has been studied in the present work. Polyester and viscose have been chosen as the blending fibers and 8 fabrics with different blend proportions were developed. Water vapour transmission of the fabrics was measured using the PERMETEST. Liquid water transmission property of the fabrics was examined using a gravimetric inplane wicking tester and a vertical wicking tester. From the experimental result it has been observed that water vapour permeability and absorbency of the material increases with the increase in number of hydrophilic group in the material, but it has an adverse effect on the liquid moisture transmission behavior of the material. The vertical as well as horizontal wicking of the material decreases with the increase in viscose proportion in the polyester/viscose blended fabrics.

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The objective of this paper is to report a study on the predictability of the steady-state and transient thermal properties of fabrics using a feed-forward, back-propagation artificial neural network system. A comparison was made with two different network architectures, one with two sequential networks working in tandem fed with a common input and another with a single network that gave two outputs. A three-layered network was used in both the cases. The networks were then subjected to a set of untrained inputs and the output thermal properties, namely thermal resistance and Qmax, were compared with the values obtained experimentally. The architecture with two networks working in tandem with a common set of inputs gave better results than the architecture with one set of inputs used to give two outputs.

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