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Record Nr. |
UNINA9911006505003321 |
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Titolo |
Simulation in textile technology : theory and applications / / edited by D. Veit |
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Pubbl/distr/stampa |
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Oxford ; ; Philadelphia, : Woodhead Pub., 2012 |
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ISBN |
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9781628700664 |
1628700661 |
9780857097088 |
0857097083 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (398 p.) |
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Collana |
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Woodhead Publishing series in textiles, , 2042-0803 ; ; no. 136 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Textile fabrics - Simulation methods |
Textile fibers - Simulation methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Simulation in textile technology: Theory and applications; Copyright; Contents; Contributor contact details; Woodhead Publishing Series in Textiles; Acknowledgements; Preface; 1 Introduction to modelling and simulation in textile technology; 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; 1.6 References and further reading; 2 Neural networks and their application to textile technology |
2.1 Introduction: biological background2.2 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; 2.10 References and further reading; 3 Evolutionary methods and their application to textile technology; 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 processes3.6 |
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Applications of evolutionary algorithms to textile technology; 3.7 Practical advice in applying evolutionary methods; 3.8 Web references for software tools; 3.9 References; 4 Fuzzy logic and its application to textile technology; 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 logic4.10 Web references for software tools; 4.11 References; 5 Computational fluid dynamics (CFD) and its application to textile technology; 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; 5.10 References |
6 The finite element method (FEM) and its application to textile technology6.1 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; 6.9 References; 7 Simulation of fibrous structures and yarns; 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 |
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Sommario/riassunto |
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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 the |
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