Soft Computing in Textile Engineering

Abhijit Majumdar is currently holding the position of R. Jaikumar Chair Professor for Decision Sciences in the Textile and Fibre Engineering department at the Indian Institute of Technology, Delhi, India (IIT Delhi). He has published 145 research papers in international refereed journals. His research areas include protective fibrous materials, operations management, and sustainable supply chains. management. He has authored two textbooks, edited four books, and two monographs. He is the associate editor of the Journal of the Institution of Engineers (India) Series E (Chemical and Textile Engineering) and OPSEARCH.

Part 1 Introduction to soft computing: Introduction to soft computing techniques: Artificial neural networks, fuzzy logic and genetic algorithm; Artificial neural networks in materials modeling; Fundamentals of soft models in textiles. Part 2 Soft computing in yarn manufacturing: Artificial neural network in yarn property modeling; Performance evaluation and enhancement of artificial neural network in prediction modeling; Yarn engineering using artificial neural network; Adaptive neuro-fuzzy systems in yarn modeling. Part 3 Soft computing in fabric manufacturing: Woven fabric engineering by mathematical modeling and soft computing methods; Soft computing applications in knitting technology; Modelling nonwovens using artificial neural networks. Part 4 Soft computing for textile properties and applications: Garment modelling by fuzzy logic; Soft computing applications for sewing machines; Artificial neural network modeling for prediction of thermal transmission properties of woven fabrics. Part 5 Soft computing in textile quality evaluation: Fuzzy decision making and its applications in cotton fibre grading; Silk cocoon grading by fuzzy expert systems; Artificial neural network applications in textile composites; Modelling the fabric tearing process; Textile quality evaluation by image processing and soft computing techniques.