Description

The use of mathematical modelling and computer simulation can vastly improve the quality, efficiency and economic success of textile technology. Simulation in textile technology provides a comprehensive review of the key principles, applications and benefits of modelling for textile production.

After an introduction to modelling and simulation, Simulation in textile technology goes on to review the principles and applications of the main types of model. The book first discusses neural networks and their applications before going on to explore evolutionary methods and fuzzy logic. It then considers computational fluid dynamics and finite element modelling. The modelling of fibrous structures and yarns are considered in the following chapters, along with wound packages, woven, braided and knitted structures. The book concludes by reviewing the simulation of textile processes and machinery.

With its distinguished editor and team of expert contributors, Simulation in textile technology is a valuable reference tool for all those involved in both developing models of textile processes and those applying them to improve process efficiency and product quality.

Key Features

  • Provides a comprehensive review of the key principles, applications and benefits of modelling for textile production
  • Discusses neural networks and their applications before going on to explore evolutionary methods and fuzzy logic
  • Considers the modelling of fibrous structures and yarns, along with wound packages, woven, braided and knitted structures

Readership

Researchers, designers, fiber scientists, textile engineers and quality inspectors involved in developing textiles and clothing products.

Table of Contents

Contributor contact details

Woodhead Publishing Series in Textiles

Acknowledgements

Preface

Chapter 1: Introduction to modelling and simulation in textile technology

Abstract:

1.1 Introduction to simulation

1.2 Simulation with and without computers

1.3 Modelling: white, black and grey box models

1.4 Expert systems and other knowledge-based models

1.5 Applications of expert systems to textile technology

Chapter 2: Neural networks and their application to textile technology

Abstract:

2.1 Introduction: biological background

2.2 Models of artificial neural networks

2.3 The backpropagation algorithm

2.4 Counterpropagation

2.5 Other types of neural networks

2.6 Applications of neural networks to textile technology

2.7 Practical advice in applying neural networks

2.8 Summary

2.9 Web references for software tools

Chapter 3: Evolutionary methods and their application to textile technology

Abstract:

3.1 Introduction

3.2 Biological background

3.3 Mathematical models of evolution strategy

3.4 Genetic algorithms

3.5 Comparison of evolutionary algorithms and iteration processes

3.7 Practical advice in applying evolutionary methods

3.8 Web references for software tools

Chapter 4: Fuzzy logic and its application to textile technology

Abstract:

4.1 Introduction

4.2 Imprecise mathematics

4.3 Set operations

4.4 Fuzzy logic versus probabilistic logic

4.5 Ultra-fuzzy logic

4.6 Fuzzy control

4.7 Fuzzy control with four input and one output variable

4.8 Applications of fuzzy logic in textile technology

4.9 Practical advice in applying fuzzy logic

4.10 Web references for software tools

Chapter 5: Computational fluid dynamics (CFD) and its applicat

Details

No. of pages:
384
Language:
English
Copyright:
© 2012
Published:
Imprint:
Woodhead Publishing
Print ISBN:
9780857090294
Electronic ISBN:
9780857097088

About the editor

D Veit

Dieter Veit is the Academic Director and Deputy Director of the Institute of Textile Technology at RWTH Aachen University, Germany

Affiliations and Expertise

RWTH Aachen University, Germany