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Advances in Modeling and Simulation in Textile Engineering: New Concepts, Methods, and Applications explains the advanced principles and techniques that can be used to solve textile engineering problems using numerical modeling and simulation. The book draws on innovative research and industry practice to explain methods for the modeling of all of these processes, helping readers apply computational power to more areas of textile engineering. Experimental results are presented and linked closely to processes and methods of implementation. Diverse concepts such as heat transfer, fluid dynamics, three-dimensional motion, and multi-phase flow are addressed. Finally, tools, theoretical principles, and numerical models are extensively covered. Textile engineering involves complex processes which are not easily expressed numerically or simulated, such as fiber motion simulation, yarn to fiber formation, melt spinning technology, optimization of yarn production, textile machinery design and optimization, and modeling of textile/fabric reinforcements. - Provides new approaches and techniques to simulate a wide range of textile processes from geometry to manufacturing - Includes coverage of detailed mathematical methods for textiles, including neural networks, genetic algorithms, and the finite element method - Addresses modeling techniques for many different phenomena, including heat transfer, fluid dynamics and multi-phase flow
Selected, peer-reviewed papers from the International Conference on Engineering Design and Optimization (ICEDO 2010), 28-30 October 2010, Ningbo, P. R. China
Advanced Structural Textile Composites Forming: Characterization, Modeling, and Simulation comprehensively describes the influence of fiber/fabric architectures and properties on composites forming, along with their deformability and structural optimization, covering the latest advances in the composites forming field. Part one reviews textile reinforcement architectures and discusses the forming behaviors of important 2D and 3D fabrics. Part two discusses numerical models to conduct simulation analysis of different structural composites forming at mesoscopic and macroscopic scales, in particular, 3D preforms with through-the-thickness yarns. Part three looks at the latest developments in the relationship between forming and other steps in composite manufacturing, such as resin injection, and automated fiber placement (AFP) and the effects on certain mechanical properties, such as structural damage and impact resistance. The book will be an essential reference for academic researchers, industrial engineers and materials scientists working with the manufacture and design of fiber-reinforced composite materials. - Describes the influence of the fiber/fabric architectures and properties on composites forming, along with their deformability and structural optimization - Provides numerical modeling and simulation of different fiber-reinforced composites forming at mesoscopic and macroscopic scales, in particular, reinforcements with discontinue fibers, and 3D preforms with through-the-thickness yarns - Discusses cutting edge topics such as resin injection, and automated fiber placement (AFP) and the effects of forming results on mechanical properties such as structural damage and impact resistances
Characterization of Polymers and Fibres addresses an integral part of fiber and polymer manufacturing processes that is crucial in helping manufacturers ensure that final products achieve intended specifications. The characterization of fiber and polymers is needed for attributes including molecular weight, morphology, dyeing behavior, tensile, optical and thermal behavior. This book covers a wide range of characterization techniques, including thermal, X-ray diffraction, solubility, tensile, optical, hygroscopic and particle size distribution. Introductions and definitions are provided where beneficial to make topics accessible to a broad range of readers in both academia and industry. Addressing advances from the fields of bioscience, polymer science, material science, and textile science, this book is wide in scope, drawing on the latest research to provide details of characterization techniques and equipment. - Provides a thorough description of the material quality control process, including the latest industry practice - Presents material characterization at all levels, from the atomic level to surface structure - Covers technical advice on natural fiber characterization methods, including XRD, XPS, TGA, SEM, TEM, AFM, Contact angle, Particle size analysis, FTIR, and NMR
Recent developments in information processing systems have driven the advancement of numerical simulations in engineering. New models and simulations enable better solutions for problem-solving and overall process improvement. Advanced Numerical Simulations in Mechanical Engineering is a pivotal reference source for the latest research findings on advanced modelling and simulation method adopted in mechanical and mechatronics engineering. Featuring extensive coverage on relevant areas such as fuzzy logic controllers, finite element analysis, and analytical models, this publication is an ideal resource for students, professional engineers, and researchers interested in the application of numerical simulations in mechanical engineering.
Focusing on the importance of the application of statistical techniques, this book covers the design of experiments and stochastic modeling in textile engineering. Textile Engineering: Statistical Techniques, Design of Experiments and Stochastic Modeling focuses on the analysis and interpretation of textile data for improving the quality of textile processes and products using various statistical techniques. FEATURES Explores probability, random variables, probability distribution, estimation, significance test, ANOVA, acceptance sampling, control chart, regression and correlation, design of experiments and stochastic modeling pertaining to textiles Presents step-by-step mathematical derivations Includes MATLAB® codes for solving various numerical problems Consists of case studies, practical examples and homework problems in each chapter This book is aimed at graduate students, researchers and professionals in textile engineering, textile clothing, textile management and industrial engineering. This book is equally useful for learners and practitioners in other scientific and technological domains.
Numerical Modelling of Failure in Advanced Composite Materials comprehensively examines the most recent analysis techniques for advanced composite materials. Advanced composite materials are becoming increasingly important for lightweight design in aerospace, wind energy, and mechanical and civil engineering. Essential for exploiting their potential is the ability to reliably predict their mechanical behaviour, particularly the onset and propagation of failure. Part One investigates numerical modeling approaches to interlaminar failure in advanced composite materials. Part Two considers numerical modelling approaches to intralaminar failure. Part Three presents new and emerging advanced numerical algorithms for modeling and simulation of failure. Part Four closes by examining the various engineering and scientific applications of numerical modeling for analysis of failure in advanced composite materials, such as prediction of impact damage, failure in textile composites, and fracture behavior in through-thickness reinforced laminates. - Examines the most recent analysis models for advanced composite materials in a coherent and comprehensive manner - Investigates numerical modelling approaches to interlaminar failure and intralaminar failure in advanced composite materials - Reviews advanced numerical algorithms for modeling and simulation of failure - Examines various engineering and scientific applications of numerical modelling for analysis of failure in advanced composite materials
The aim of the book is to provide engineers with a practical guide to Finite Element Modelling (FEM) in Abaqus CAE software. The guide is in the form of step-by-step procedures concerning yarns, woven fabric and knitted fabrics modelling, as well as their contact with skin so that the simulation of haptic perception between textiles and skin can be
Optimization and decision making are integral parts of any manufacturing process and management system. The objective of this book is to demonstrate the confluence of theory and applications of various types of multi-criteria decision making and optimization techniques with reference to textile manufacturing and management. Divided into twelve chapters, it discusses various multi-criteria decision-making methods such as AHP, TOPSIS, ELECTRE, and optimization techniques like linear programming, fuzzy linear programming, quadratic programming, in textile domain. Multi-objective optimization problems have been dealt with two approaches, namely desirability function and evolutionary algorithm. Key Features Exclusive title covering textiles and soft computing fields including optimization and decision making Discusses concepts of traditional and non-traditional optimization methods with textile examples Explores pertinent single-objective and multi-objective optimizations Provides MATLAB coding in the Appendix to solve various types of multi-criteria decision making and optimization problems Includes examples and case studies related to textile engineering and management
Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering. - Includes firsthand experience about artificial intelligence models, utilizing case studies - Describes biological, physical and chemical techniques for the treatment of surface water, groundwater, sea water and rain/snow - Presents the application of new instruments in water engineering