Diagnostic method of welding process based on fused infrared and vision images

Fidali, M.; Jamrozik, Wojciech

doi:10.1016/j.infrared.2013.08.010

Cited by 26 publications

(11 citation statements)

References 21 publications

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“…A more accurate approach to observing and controlling HAZ properties could be the application of infrared thermography [9][10][11]. An infrared camera has the ability to observe a whole scene during welded joint creation and represent it in the form of an infrared image (thermogram) where each pixel corresponds to a temperature value measured on the surface.…”

Section: Monitoring Of Haz Propertiesmentioning

confidence: 99%

Thermographic Assessment of the HAZ Properties and Structure of Thermomechanically Treated Steel

et al. 2017

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Thermomechanically processed steels are materials of great mechanical properties connected with more than good weldability. This mixture makes them interesting for different types of industrial applications. When creating welded joints, a specified amount of heat is introduced into the welding area and a so called heataffected zone (HAZ) is formed. The key issue is to reduce the width of the HAZ, because properties of the material in the HAZ are worse than in the base material. In the paper, thermographic measurements of HAZ temperatures were presented as a potential tool for quality assuring the welding process in terms of monitoring and control. The main issue solved was the precise temperature measurement in terms of varying emissivity during a welding thermal cycle. A model of emissivity changes was elaborated and successfully applied. Additionally, material in the HAZ was tested to reveal its properties and connect changes of those properties with heating parameters. The obtained results prove that correctly modeled emissivity allows measurement of temperature, which is a valuable tool for welding process monitoring.

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Section: Monitoring Of Haz Propertiesmentioning

confidence: 99%

Thermographic Assessment of the HAZ Properties and Structure of Thermomechanically Treated Steel

et al. 2017

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“…The authors applied the Canny filter on the image to extract weld pool edges followed by a series of custom designed and very specific steps, tailored to plasma arc welding, to reconstruct the exact weld pool boundary. In another study, Fidali et al [26] investigated a technique which uses two cameras to acquire the visual and infrared spectrum of MAG welding process, fuse the images, then extract arc area statistics, welding area topological features and assesses intensity profile along a line in arc and welding pool areas. The authors used the multitudes of these parameters to detect different welding con-ditions.…”

Section: Introductionmentioning

confidence: 99%

Automated defect classification of Aluminium 5083 TIG welding using HDR camera and neural networks

Bacioiu

Melton

Papaelias

et al. 2019

Journal of Manufacturing Processes

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Where a licence is displayed above, please note the terms and conditions of the licence govern your use of this document. When citing, please reference the published version. Take down policy While the University of Birmingham exercises care and attention in making items available there are rare occasions when an item has been uploaded in error or has been deemed to be commercially or otherwise sensitive.

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“…Thermal imaging and thermal cameras are very good examples of this trend [1]. However, the progress in hardware capabilities would be useless if not followed by the progress in algorithms and software [2,3]. Of course, new algorithms force hardware development, too.…”

Section: Introductionmentioning

confidence: 99%

“…Sometimes it is enough to monitor time changes of maximum temperature. Advanced temporal analysis, but not based on a multivariate approach, can be found in [2]-the classification is based on time waveforms representing statistical features extracted from the fused infrared and vision images. The other application of infrared temporal analysis consists in the calculation of energy balance and heating curves of electrical machines which afterwards can be used for defect detection [12].…”

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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Diagnostic method of welding process based on fused infrared and vision images

Cited by 26 publications

References 21 publications

Thermographic Assessment of the HAZ Properties and Structure of Thermomechanically Treated Steel

Thermographic Assessment of the HAZ Properties and Structure of Thermomechanically Treated Steel

Automated defect classification of Aluminium 5083 TIG welding using HDR camera and neural networks

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

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