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This book contains detailed knowledge about testing principles of fibre, yarn, and fabric characteristics, the tensile characteristics of materials and testing of fibrous-composites and technical textiles. It starts with an introduction to textile testing and further covers moisture in relation to textile materials, sampling techniques for textile materials and the basic applied statistics, fibre characteristics, fibre length, cotton fibre fineness and maturity characteristics. It also deals with the advanced characterisation of cotton fibre by using HVI and AFIS systems. Features: It covers the principles of the testing of textile and fibrous materials along with modern techniques for testing textile materials It reviews all necessary topics related to fibre, yarn, fabric, technical textiles, and composite testing It explores the tensile characteristics of textile materials and measurement principles It discusses low-stress mechanical characteristics and transmission characteristics It includes a large number of examples and exercises based on actual industrial conditions worldwide including solutions This textbook is aimed at senior undergraduate students in textile testing and evaluation of textile materials.
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Vol. 12 includes under the same cover the society's year-book for 1912.
This book is designed to provide a platform for the critical evaluation of deficits of classical cotton yarn engineering approach and how they were overruled by the development of today’s ANN based scientific approach. Legendary ring spinning process is kept as a reference and various technological changes undergone by the different sectors of the yarn engineering system are elaborated. The entire book is divided into ten chapters. The opening chapter briefs on varieties of textile fibers available and amongst them identifies the significance of cotton fiber for the textile industry. It also covers up ring spinning pattern along with constraints handled due to natural fiber variations in transitory way. Artificial Neural Networking (ANN) is the upcoming software technique to replace Biological Neural Network (Human brain) for accurate resolution of complex problems, fifth chapter remits on this technology.