A Deep Learning Method for the Impact Damage Segmentation of Curve-Shaped CFRP Specimens Inspected by Infrared Thermography

A Deep Learning Method for the Impact Damage Segmentation of Curve-Shaped CFRP Specimens Inspected by Infrared Thermography

Advanced materials such as continuous carbon fiber-reinforced thermoplastic (CFRP) laminates are commonly used in many industries, mainly because of their strength, stiffness to weight ratio, toughness, weldability, and repairability. Structural components working in harsh environments such as satel...

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Bibliographic Details
Main Authors: Ziang Wei, Henrique Fernandes, Hans-Georg Herrmann, Jose Ricardo Tarpani, Ahmad Osman
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
composite materials
infrared thermography
deep learning
damage segmentation
curve shaped laminates
Online Access:https://www.mdpi.com/1424-8220/21/2/395

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https://www.mdpi.com/1424-8220/21/2/395

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