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The use of nonwoven fabrics in garment has been, up to now, purely functional and hidden from view. In fact, their uses have been limited to garment interlining in the apparel industry. Felted structures from wool have been limited to the craft market for the production of art and craft objects of decoration. This paper aims to compare the mechanical and thermo-physical comfort properties of a woven wool, a felted wool fabric, a felted wool/polyester and two non-woven synthetic fabrics for apparel use.

Fabric samples were sourced locally. Five fabric samples were selected: one woolen woven, one felted woven, one polyester/wool non-woven and two non-woven synthetic fabrics. The wool fabric was felted by mechanical action using the Wascator FOM 71P machine. All fabric samples were conditioned before they were tested for their mechanical and thermal comfort properties as per standard test methods.

The comparative study of the mechanical and thermal properties of the five fabric samples have been successfully investigated as textile materials for commercial garments. In terms of fabric stiffness, drape and handle, the two non-woven synthetic fabrics were, in general, poorer than the woven wool and the felted woven wool fabrics. The synthetic non-woven fabrics also performed poorly in terms of serviceability. But it was found that the nonwoven synthetic fabrics were best suited when thermal insulation is required and were found to be better than the woven felted wool fabric of comparative weight per unit area.

The value of this study is that it demonstrates the scope of felted woolen structures and other synthetic nonwovens fabrics as usable materials, in part or in full, in the development of apparel for winter wear especially in cold environments and where aesthetic appeal is secondary.

This chapter offers an overview of the applications of artificial intelligence (AI) in the textile industry and in particular, the textile colouration and finishing industry. The advent of new technologies such as AI and the Internet of Things (IoT) has changed many businesses and one area AI is seeing growth in is the textile industry. It is estimated that the AI software market shall reach a new high of over US$60 billion by 2022, and the largest increase is projected to be in the area of machine learning (ML). This is the area of AI where machines process and analyse vast amount of data they collect to perform tasks and processes. In the textile manufacturing industry, AI is applied to various areas such as colour matching, colour recipe formulation, pattern recognition, garment manufacture, process optimisation, quality control and supply chain management for enhanced productivity, product quality and competitiveness, reduced environmental impact and overall improved customer experience. The importance and success of AI is set to grow as ML algorithms become more sophisticated and smarter, and computing power increases.