Soft Computing in Textile Engineering

Dr Abhijit Majumdar is a faculty members in the Department of Textile Technology at the prestigious Indian Institute of Technology (IIT), Delhi, India.

• 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.