Real-time welding process control using infrared sensing

Govardhan, S.; Wikle, Howard C.; Nagarajan, S.; Chin, Bryan A.

doi:10.1109/acc.1995.529801

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Infrared sensing is the non contact measurement of emissions in the infrared portion of the electromagnetic spectrum. Many investigators have used thermographic system for the measurement of temperature distribution and control of welding online [2][3][4][5][6]. Most of these measurements are reported from the weld pool region.…”

Section: Introductionmentioning

confidence: 99%

Monitoring TIG welding using infrared thermography - simulations and experiments

Unnikrishnakurup¹

2016

ELECTROTECHNICAL REVIEW

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In the current work a 3D model has been developed to predict the thermal cycles during the Tungsten Inert Gas welding of Aluminum 2219. This paper describes the step by step procedure adopted to get the actual cooling rate during the TIG welding process both experimentally and numerically. The model was developed in the COMSOL Finite Element Package and considered a Gaussian heat distribution. The developed model then validated using the experimental data collected in field experiments on actual large propellant tanks. Temperature measurements were performed using Infrared Camera. Results show a close comparison between model and experiment. Streszczenie. W pracy opracowano model 3D do przewidywania cykli cieplnych podczas spawania Aluminum 2219 z nietopliwą elektrodą wolframową w osłonie gazów obojętnych. Artykuł prezentuje krok po kroku przyjętą procedurę określania właściwego tempa chłodzenia (w eksperymencie jak i w modelowaniu numerycznym) podczas spawania. Model został stworzony w programie Comsol z gaussowskim rozkładem ciepła. Model numeryczny został porównany z danymi eksperymentalnymi. Pomiary temperatury wykonywano z użyciem kamery na podczerwień. Otrzymane wyniki pokazują dobrą zbieżność modelu z eksperymentem. (Monitorowanie spawania z nietopliwą elektrodą wolframową w osłonie gazów obojętnych z użyciem termografii-symulacje i eksperymenty).

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Section: Introductionmentioning

confidence: 99%

Monitoring TIG welding using infrared thermography - simulations and experiments

Unnikrishnakurup¹

2016

ELECTROTECHNICAL REVIEW

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“…Nowadays, machine vision systems are playing more and more vital role in welding process monitoring and control. Such systems allow monitoring and assessment of the welding process stability (Noruk 2006, Al-Karawi, Schmidt 2004Fidali & Jamrozik, 2013), evaluation of size and placement of the welding pool (Kim et al, 1995;Smith & Balfour, 2005;Lucas et al, 2009), as well as control of the joint geometry and the quality of welded seam (Cook et al, 1995;Govardghan et al, 1995;Balfour et al, 2004;Camilleri et al, 2004). It is easily noticeable that information about the condition of the welding process and the quality of the finished joint is contained in several measurable signals of various type, nature and modality.…”

Section: Introductionmentioning

confidence: 99%

Contextual reliability discounting in welding process diagnostic based on DSmT

Jamrozik

2014

Expert Systems

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The monitoring and diagnosing of the welding process is an important task in assuring the quality of welded joints. Observation of such a dynamic process is often performed by measuring various signals of different modality. The main problem is how to use several of the possible signals simultaneously. Many techniques that can deal with this kind of task were elaborated and introduced in practical application. One of these is decision fusion, with a group of methods based on belief function theories: Dempster–Shafer and Dezert–Smarandache (DSmT). In this paper, extended fusion scheme for assessment of welding process condition, with contextual discounting of evidence sources reliability in DSmT framework, is presented. Discounting operation was used to distinguish the objective ability of each evidence source, to give a correct assessment of process condition. To validate this method, several series of welded joints representing different process conditions that result in various joint quality were made. On the basis of performed research, it was proven that contextual reliability discounting leads to increase of the condition recognition accuracy.

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Wire and arc additive manufacturing of metal components: a review of recent research developments

Liu

et al. 2020

Int J Adv Manuf Technol

119

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Real-time welding process control using infrared sensing

Cited by 4 publications

References 2 publications

Monitoring TIG welding using infrared thermography - simulations and experiments

Monitoring TIG welding using infrared thermography - simulations and experiments

Contextual reliability discounting in welding process diagnostic based on DSmT

Wire and arc additive manufacturing of metal components: a review of recent research developments

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