The effect of positional instability on the detection of barely visible impact damage in composites using a mobile thermographic inspection robot
Jaslyn Gray, Mark Richards, Peter Muir, Hamish Self, Cedric Rosalie, Nik Rajicdownload PDF
Abstract. As the use of composite materials continues to expand within the aerospace domain and elsewhere, the demand for rapid impact damage detection capabilities is also increasing. Line-scan thermography (LST) is a promising inspection modality where a light source focused to a line is swept over a structural component and sub-surface damage is highlighted as a thermal signature detectable via infrared imaging. This paper presents a rapid LST robotic inspection system combining ground-based robotics, advanced infrared imaging technology and dynamic image processing that is capable of achieving detection of barely visible impact damage in composite structures. The robotic system is evaluated experimentally on carbon fibre composite laminate specimens containing synthetic flat-bottom-hole defects, at scan speeds ranging from 25 mm/s to 100 mm/s. A study into the effect of positional instability on the capacity of the inspection system to detect damage is undertaken by introducing controlled perturbations in the robot path. Finite element modelling is also presented and verified against experimental results. Understanding the effect of positional instability on defect detection is important as work progresses towards an aerial drone-based implementation of this inspection capability.
Line Scan Thermography, Composite Materials, Positional Instability, Non-Destructive Inspection, Robotic Inspection, Infrared Imaging
Published online 3/30/2023, 9 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Jaslyn Gray, Mark Richards, Peter Muir, Hamish Self, Cedric Rosalie, Nik Rajic, The effect of positional instability on the detection of barely visible impact damage in composites using a mobile thermographic inspection robot, Materials Research Proceedings, Vol. 27, pp 50-58, 2023
The article was published as article 7 of the book Structural Health Monitoring
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