Textile Processes: Quality Control and Design of Experiments
Textiles are everywhere in the modern world as natural, synthetic, and blended fibers, yarns, and fabrics. They might be woven or non-woven. We use them for cloths of all varieties from disposal wipes to bandages to blankets to clothing. We use them in the upholsteries, carpets, and curtains in our homes and in cars and aircraft. Textiles have gotten 'intelligent' and 'smart.' They can be embedded with sensors that monitor our life functions, such as heart rate and breathing, and send signals to medical authorities about pending heart attacks. Giving the textiles different forms through cutting and sewing as well as combining different textile and non-textile materials, we can produce products with a wide range of applications. All of them, nevertheless, are produced by similar manufacturing processes. All of us as customers are looking for quality products at a level achievable only by the use of both up-front materials design and post-manufacturing inspection. This book is written for textile experts, for quality control experts, and for researchers and students at all academic levels interested in the control and optimization of textile processes. The book is organized into two parts. Part I is a review of the concepts and tools of mathematical statistics. Part II offers a review of the methods for the experimental design of various textile processes and the methods for deriving and optimization of mathematical models. The individual models are illustrated by numerical examples, which allow for easier comprehension and implementation of the methods in practice. Special attention is given to the use of Taguchi methods in setting up experimental design models. Highlights include * a basic overview of the statistical basis for quality control in textile processes, in Part I. * coverage of correlation analysis and analysis of variance (ANOVA), in Part I. * description of the technique for forecasting product properties during manufacture, in Part II. * reviews of the three most widely-used designs for derivation of second order mathematical models: the rotational central composite design, the orthogonal central composite design and the optimal design, in Part II.
