CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0

Muhammad A. Ali; Rehan Umer; Kamran A. Khan

doi:10.1007/978-981-15-8021-5

CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0

Muhammad A. Ali, Rehan Umer, Kamran A. Khan

Research output: Book/Report › Book

7 Citations (Scopus)

Abstract

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.

Original language	English
Publisher	Springer
Number of pages	170
ISBN (Electronic)	9789811580215
ISBN (Print)	9789811580208, 9789811580239
DOIs	https://doi.org/10.1007/978-981-15-8021-5
Publication status	Published - 7 Oct 2020

Keywords

3D Fabrics
Dry Tapes
Fibrous Reinforcements
Flow Modeling
Liquid Composite Molding
Noise Reducing Filters
Permeability Measurement
Resin Flow Simulations
Textile Internal Geometry
X-ray Computed Tomography (XCT)

ASJC Scopus subject areas

General Engineering
General Materials Science

Access to Document

10.1007/978-981-15-8021-5

Cite this

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abstract = "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.",

keywords = "3D Fabrics, Dry Tapes, Fibrous Reinforcements, Flow Modeling, Liquid Composite Molding, Noise Reducing Filters, Permeability Measurement, Resin Flow Simulations, Textile Internal Geometry, X-ray Computed Tomography (XCT)",

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AU - Umer, Rehan

AU - Khan, Kamran A.

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PY - 2020/10/7

Y1 - 2020/10/7

N2 - 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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KW - 3D Fabrics

KW - Dry Tapes

KW - Fibrous Reinforcements

KW - Flow Modeling

KW - Liquid Composite Molding

KW - Noise Reducing Filters

KW - Permeability Measurement

KW - Resin Flow Simulations

KW - Textile Internal Geometry

KW - X-ray Computed Tomography (XCT)

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CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0

Abstract

Keywords

ASJC Scopus subject areas

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