Active infrared non-destructive testing for glue occlusion detection within plastic lids

Legrand, Anne-Claire; Mériaudeau, Fabrice; Gorria, Patrick

doi:10.1016/s0963-8695(01)00043-3

Cited by 11 publications

(7 citation statements)

References 18 publications

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“…The current state of the art of applications of PCA in infrared imaging has been presented in Section 3. So far, the testing time has been selected on the base of temporal thermal contrast evolution [7]. Some rough estimations have been also used to set the acquisition time which should be optimal to perform quality control [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Multivariate Analysis of Transient State Infrared Images in Production Line Quality Control Systems

Cristalli

Grabowski

2018

Applied Sciences

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Manufacturers would like to increase production volumes while preserving the high quality of their products. The long testing times can cause a bottleneck of production processes especially taking into account the observed tendency for testing all produced devices. The main aim of this work consists in the analysis of time changes of features extracted from thermal images using the multivariate approach. The paper shows that if the principal component analysis (PCA), belonging to multivariate methods, is applied for quality control based on infrared images, then the minimum testing times can be estimated. In order to draw the final conclusions regarding testing times and, what is also very important, which principal components should be selected for classification, a detailed temporal analysis for an exemplary production line has been carried out. The future impact of the results includes higher productivity and cost-effectiveness due to the determination of an optimal decision time in production line quality control systems using the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Multivariate Analysis of Transient State Infrared Images in Production Line Quality Control Systems

Cristalli

Grabowski

2018

Applied Sciences

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“…This technique allows detecting non-through defect on metallic object [5], fiber orientation on composite material [6], crack detection [7], and has many other applications [8]. Several approaches based on heat propagation have been proposed to detect material anisotropy, De Senarmont et al have applied a punctual thermal excitation on crystal plates covered with a thin layer of wax [9], the monitored isotherm is elliptical and its aspect ratio is equal to the square root of the principal conductivities in the surface plane.…”

Section: Introductionmentioning

confidence: 99%

Wood fiber orientation assessment based on punctual laser beam excitation: A preliminary study

Belkacemi¹,

Massich²,

Lemaître³

et al. 2016

Proceedings of the 2016 International Conference on Quantitative InfraRed Thermography

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The EU imposes standards for the use of wood in structural applications. Local singularities such as knots affect the wood mechanical properties. They can be revealed by looking at the wood fiber orientation. For this reason, many methods were proposed to estimate the orientation of wood fiber using optical means, X-rays, or scattering measurement techniques. In this paper, an approach to assess the wood fiber orientation based on thermal ellipsometry is developed. The wood part is punctually heated with a Nd-YAG Laser and the thermal response is acquired by an infrared camera. The thermal response is elliptical due to the propagation of the heat through and along the wood fibers. An experiment is presented to show the capacity of such techniques to assess fiber orientation on wood specimen. In addition, an appropriate algorithm is given to extract the orientation of the ellipse.

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“…All such detection methods, however, involve one-dimensional observations. Steady-state and dynamic thermography are non-contact, non-destructive, two-dimensional techniques commonly used to assess defects in industry, as well as in the fields of medicine and construction [7][8][9][10][11][12][13][14][15] . In dynamic thermography, a short pulse of energy is used to raise the temperature of the target object and the ensuing dynamic temperature changes are monitored by thermography.…”

Section: Introductionmentioning

confidence: 99%

Detection of the boundary between oil and water in a container by dynamic heat conduction

Aoyagi¹,

Hiraguri²,

Ueno³

2014

Insight

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A method for detecting the boundaries between oil, water and air in an opaque container is proposed, in which variations in the surface temperature of the container are monitored via thermography following momentary heating of the container by a high-intensity light flash. This technique makes use of dynamic heat transport processes occurring over a very short timescale and is both nondestructive and non-contact. We describe verification trials carried out with polyvinyl chloride and copper containers, in which the proposed detection method readily identified the boundary between two phases consisting of water, oil or air. This method was also successful in detecting three interfaces formed in a system composed of water, two kinds of oil and air. The technique was, however, unable to detect boundaries in containers with a wall thickness of more than 1 mm, which thus constitutes a kind of detection limit.We outline the theoretical foundations of the observation method based on qualitative descriptions using simplified models that are able to explain the experimental results. We expect this observation method to have a wide range of applications in industry.

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Active infrared non-destructive testing for glue occlusion detection within plastic lids

Cited by 11 publications

References 18 publications

Multivariate Analysis of Transient State Infrared Images in Production Line Quality Control Systems

Multivariate Analysis of Transient State Infrared Images in Production Line Quality Control Systems

Wood fiber orientation assessment based on punctual laser beam excitation: A preliminary study

Detection of the boundary between oil and water in a container by dynamic heat conduction

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