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CT Scan Generated Material Twins for...
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Khan, Kamran A.
CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0
Record Type:
Language materials, printed : Monograph/item
Title/Author:
CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0/ by Muhammad A. Ali, Rehan Umer, Kamran A. Khan.
Author:
Ali, Muhammad A.
other author:
Khan, Kamran A.
Description:
X, 170 p. 128 illus., 109 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Ceramics, Glass, Composites, Natural Materials. -
Online resource:
https://doi.org/10.1007/978-981-15-8021-5
ISBN:
9789811580215
CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0
Ali, Muhammad A.
CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0
[electronic resource] /by Muhammad A. Ali, Rehan Umer, Kamran A. Khan. - 1st ed. 2020. - X, 170 p. 128 illus., 109 illus. in color.online resource.
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.
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.
ISBN: 9789811580215
Standard No.: 10.1007/978-981-15-8021-5doiSubjects--Topical Terms:
1116204
Ceramics, Glass, Composites, Natural Materials.
LC Class. No.: TA404.6
Dewey Class. No.: 620.11
CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0
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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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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.
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