CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0

This book highlights a novel and robust platform in the form of in-situ characterization setup for creating X-ray computed tomography (XCT)-based textile material twins. In this hybrid experimental–numerical platform, XCT images of different complex fibrous reinforcements at different levels of comp...

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Bibliographic Details
Main Authors: Ali, Muhammad A., Umer, Rehan (Author), Khan, Kamran A. (Author)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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505 0 |a 1. Introduction -- 2. Generation of Material Twin using Micro CT Scanning -- 3. Experimental Techniques for Reinforcement Characterization -- 4. Experimental-Numerical Hybrid Reinforcement Characterization Framework -- 5. Reinforcement Compaction Response -- 6. Flow Fields and Reinforcement Permeability -- 7. Experimental-Empirical Hybrid Approach 
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653 |a Characterization and Analytical Technique 
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520 |a This book highlights a novel and robust platform in the form of in-situ characterization setup for creating X-ray computed tomography (XCT)-based textile material twins. In this hybrid experimental–numerical platform, XCT images of different complex fibrous reinforcements at different levels of compaction are acquired. The images are converted into computational models for resin flow simulations. The capabilities of this hybrid framework are applied to a variety of reinforcements used in liquid composite molding processes such as 2D, 3D fabrics and dry tapes. This book is a milestone in the development of virtual manufacturing protocols using material twins of textiles, providing a step closer to the digitalization of advanced composites used in manufacturing processes for industry 4.0