Advances in Modeling and Simulation in Textile Engineering: New Concepts, Methods, and Applications

Nicholus Tayari Akankwasa · Dieter Veit

mar 2021 · Woodhead Publishing

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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

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Nicholus Tayari Akankwasa is a Researcher at the Department of Textile Engineering, Donghua University, China. Nicholus does research in lightweight construction textile technology with a focus on numerical and computational modeling for process optimization.

Dieter Veit is Deputy Director of the Institute of Textile Technology at RWTH Aachen University, Germany. His research focuses on soft computing in textile technology, including use of neural networks and genetic algorithms.