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Fiber Reinforced Composite Manufacturing With the Aid of Artificial Intelligence – A State-of-the-Art Review.

Authors :
Priyadharshini, M.
Balaji, D.
Bhuvaneswari, V.
Rajeshkumar, L.
Sanjay, M. R.
Siengchin, Suchart
Source :
Archives of Computational Methods in Engineering; Nov2022, Vol. 29 Issue 7, p5511-5524, 14p
Publication Year :
2022

Abstract

Manufacturing of fiber reinforced polymer matrix composite materials is being done with various methods in recent days. But controlling the accuracy of manufacturing and begetting quality products is very challenging. Adopting single manufacturing techniques may not cater this purpose, but blended or unified technologies do. Artificial intelligence (AI) is an emerging technique that is highly reliable to be blended with current methods and caters to the needs of various composite manufacturers to the maximum possible extent. Accordingly, in this article, the primary focus is provided on the manufacturing sector and more particularly emphasis only on composite material manufacturing with the help of AI. The way the manufacturing is guided by digital technologies including AI is effective in terms of the quality of manufacturing composite materials. In most of the recent studies, AI techniques are used in autoclave manufacturing of composites to control temperature and pressure, curing of composites establishing control over the curing environment and also in flaw detection of composites. This article also focuses on using digital technologies for manufacturing simulation, hybridizing digital technologies and a few of its implications over Industry 4.0. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
11343060
Volume :
29
Issue :
7
Database :
Complementary Index
Journal :
Archives of Computational Methods in Engineering
Publication Type :
Academic Journal
Accession number :
160112153
Full Text :
https://doi.org/10.1007/s11831-022-09775-y