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CT scan generated material twins for...

Ali, Muhammad A.

CT scan generated material twins for composites manufacturing in Industry 4.0

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	CT scan generated material twins for composites manufacturing in Industry 4.0by Muhammad A. Ali, Rehan Umer, Kamran A. Khan.
作者:	Ali, Muhammad A.
其他作者:	Umer, Rehan.
出版者:	Singapore :Springer Singapore :2020.
面頁冊數:	x, 170 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Composite materials.
電子資源:	https://doi.org/10.1007/978-981-15-8021-5
ISBN:	9789811580215$q(electronic bk.)

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$q(electronic bk.)

Standard No.: 10.1007/978-981-15-8021-5doiSubjects--Topical Terms:

196714
Composite materials.

LC Class. No.: TA418.9.C6

Dewey Class. No.: 620.118

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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.
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.
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