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CT scan generated material twins for...

Ali, Muhammad A.

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CT scan generated material twins for composites manufacturing in Industry 4.0

Record Type:	Electronic resources : 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:	Umer, Rehan.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	x, 170 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Composite 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. - Singapore :Springer Singapore :2020. - x, 170 p. :ill., digital ;24 cm.

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:

654082
Composite materials.

LC Class. No.: TA418.9.C6

Dewey Class. No.: 620.118

CT scan generated material twins for composites manufacturing in Industry 4.0
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100 1 $a Ali, Muhammad A. $3 3503585
245 1 0 $a CT scan generated material twins for composites manufacturing in Industry 4.0 $h [electronic resource] / $c by Muhammad A. Ali, Rehan Umer, Kamran A. Khan.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a x, 170 p. : $b ill., digital ; $c 24 cm.
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.
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.
650 0 $a Composite materials. $3 654082
650 0 $a Materials science. $3 543314
650 0 $a Physics. $3 516296
650 0 $a Materials. $3 556501
650 0 $a Ceramics. $3 651796
650 0 $a Glass. $3 550838
650 1 4 $a Characterization and Evaluation of Materials. $3 890988
650 2 4 $a Applied and Technical Physics. $3 1245150
650 2 4 $a Materials Engineering. $3 2071625
650 2 4 $a Ceramics, Glass, Composites, Natural Materials. $3 3205789
700 1 $a Umer, Rehan. $3 3503586
700 1 $a Khan, Kamran A. $3 3503587
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-15-8021-5
950 $a Chemistry and Materials Science (SpringerNature-11644)