Simulation in Textile Technology

Informationen zum Autor Dieter Veit is the Academic Director and Deputy Director of the Institute of Textile Technology at RWTH Aachen University, Germany Klappentext The use of mathematical modelling and computer simulation can vastly improve the quality, efficiency, and economic success of textile technology. This comprehensive book describes the key principles, applications, and benefits of modeling for textile production. Zusammenfassung Simulation in textile technology provides a comprehensive review of the key principles! applications and benefits of modelling for textile production. Inhaltsverzeichnis 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 application to textile technology Abstract: 5.1 Introduction 5.2 From reality to simulation 5.3 Simulation of currents with fibres, yarns and textiles 5.4 Validation methods 5.5 Economic aspects 5.6 Applications of computational fluid dynamics to textile technology 5.7 Practical advice in applying computational fluid dynamics 5.8 Summary 5.9 Web references for software tools Chapter 6: The finite element method (FEM) and its application to textile technology Abstract: 6.1 Introduction 6.2 Modelling of mechanical systems 6.3 Elements of elastic models 6.4 Error estimation and refinement 6.5 Nonlinear problems 6.6 FEM Software 6.7 Future trends 6.8 Sources of further information Chapter 7: Simulation of fibrous structures and yarns Abstract: 7.1 Introduction 7.2 Fibres and yarns: definitions and factors affecting quality 7.3 Fibrous assemblies: volume, density and mass 7.4 Yarn parameters: fineness, density, diameter and twist 7.5 Modelling of internal yarn geometry: helical yarn model 7.6 Stress-strain relations 7.7 The relationship between yarn count, twist, packing density and diameter 7.8 A simple mechanical model of yarn properties 7.9 Mech...

Klappentext

The use of mathematical modelling and computer simulation can vastly improve the quality, efficiency, and economic success of textile technology. This comprehensive book describes the key principles, applications, and benefits of modeling for textile production.

Zusammenfassung
Simulation in textile technology provides a comprehensive review of the key principles, applications and benefits of modelling for textile production.

Inhalt

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 application to textile technology

Abstract:

5.1 Introduction

5.2 From reality to simulation

5.3 Simulation of currents with fibres, yarns and textiles

5.4 Validation methods

5.5 Economic aspects

5.6 Applications of computational fluid dynamics to textile technology

5.7 Practical advice in applying computational fluid dynamics

5.8 Summary

5.9 Web references for software tools

Chapter 6: The finite element method (FEM) and its application to textile technology

Abstract:

6.1 Introduction

6.2 Modelling of mechanical systems

6.3 Elements of elastic models

6.4 Error estimation and refinement

6.5 Nonlinear problems

6.6 FEM Software

6.7 Future trends

6.8 Sources of further information

Chapter 7: Simulation of fibrous structures and yarns

Abstract:

7.1 Introduction

7.2 Fibres and yarns: definitions and factors affecting quality

7.3 Fibrous assemblies: volume, density and mass

7.4 Yarn parameters: fineness, density, diameter and twist

7.5 Modelling of internal yarn geometry: helical yarn model

7.6 Stress-strain relations

7.7 The relationship between yarn count, twist, packing density and diameter

7.8 A simple mechanical model of yarn properties

7.9 Mechanics of parallel fibre bundles

7.10 Examples of models of fibrous assemblies and yarns

7.11 Acknowledgement

Chapter 8: Simulation of wound packages, woven, braided and knitted structures

Abstract:

8.1 Introduction: objectives of simulating yarn- based structures

8.2 Principles of geometrical and mechanical modelling

8.3 Simulation of wound packages

8.4 Simulation of woven structures

8.5 Simulation of braided structures

8.6 Simulation of knitted structures

8.7 Future trends

8.8 Sources of further information

Chapter 9: Simulation of textile machinery

Abstract:

9.1 Introduction: simulation methods to optimize machine settings and product quality

9.2 Simulating yarn production and processing: ring/rotor spinning and false-twist texturing

9.3 Simulating fabric production: weft insertion and warp tension

9.4 Simulating finishing techniques: rolling and dyeing

9.5 Simulating plant layout and production planning: finishing operations

9.6 Practical advice in simulating textile machinery

Index