國立虎尾科技大學 |

CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	CT Scan Generated Material Twins for Composites Manufacturing in Industry 4.0/ by Muhammad A. Ali, Rehan Umer, Kamran A. Khan.
作者:	Ali, Muhammad A.
其他作者:	Khan, Kamran A.
面頁冊數:	X, 170 p. 128 illus., 109 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Ceramics, Glass, Composites, Natural Materials. -
電子資源:	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
LDR:02562nam a22003975i 4500 001 1030192
003 DE-He213
005 20201006145505.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789811580215 $9 978-981-15-8021-5
024 7 $a 10.1007/978-981-15-8021-5 $2 doi
035 $a 978-981-15-8021-5
050 4 $a TA404.6
072 7 $a TGMT $2 bicssc
072 7 $a TEC021000 $2 bisacsh
072 7 $a TGMT $2 thema
082 0 4 $a 620.11 $2 23
100 1 $a Ali, Muhammad A. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1327038
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.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a X, 170 p. 128 illus., 109 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 2 4 $a Ceramics, Glass, Composites, Natural Materials. $3 1116204
650 2 4 $a Materials Engineering. $3 1062318
650 2 4 $a Applied and Technical Physics. $3 786559
650 1 4 $a Characterization and Evaluation of Materials. $3 674449
650 0 $a Composite materials. $3 561730
650 0 $a Composites (Materials). $3 1253658
650 0 $a Glass. $3 681282
650 0 $a Ceramics. $3 673527
650 0 $a Engineering—Materials. $3 1253659
650 0 $a Physics. $3 564049
650 0 $a Materials science. $3 557839
700 1 $a Khan, Kamran A. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1327040
700 1 $a Umer, Rehan. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1327039
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811580208
776 0 8 $i Printed edition: $z 9789811580222
776 0 8 $i Printed edition: $z 9789811580239
856 4 0 $u https://doi.org/10.1007/978-981-15-8021-5
912 $a ZDB-2-CMS
912 $a ZDB-2-SXC
950 $a Chemistry and Materials Science (SpringerNature-11644)
950 $a Chemistry and Material Science (R0) (SpringerNature-43709)