3D Scanning and Model Error Distribution-Based Characterisation of Welding Defects

3D Scanning and Model Error Distribution-Based Characterisation of Welding Defects

The inspection of welded structures requires particular attention due to many aspects that define the quality of the product. Deciding on the suitability of welds is a complex process. This work aims to propose a method that can support this qualification. This paper presents a state-of-the-art data...

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Veröffentlicht in:Hungarian journal of industrial chemistry 2021, Vol.49 (2), p.3-7
Hauptverfasser: Hegedűs-Kuti, János, Szőlősi, József, Varga, Dániel, Farkas, Gábor, Ruppert, Tamás, Abonyi, János, Andó, Mátyás
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container_title Hungarian journal of industrial chemistry
container_volume 49
creator Hegedűs-Kuti, János
Szőlősi, József
Varga, Dániel
Farkas, Gábor
Ruppert, Tamás
Abonyi, János
Andó, Mátyás
description The inspection of welded structures requires particular attention due to many aspects that define the quality of the product. Deciding on the suitability of welds is a complex process. This work aims to propose a method that can support this qualification. This paper presents a state-of-the-art data-driven evaluation method and its application in the quality assessment of welds. Image processing and CAD modelling software was applied to generate a reference using the Iterative Closest Point algorithm that can be used to generate datasets which represent the model errors. The results demonstrate that the distribution of these variables characterises the typical welding defects. Based on the automated analysis of these distributions, it is possible to reduce the turnaround time of testing, thereby improving the productivity of welding processes.
doi_str_mv 10.33927/hjic-2021-13
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title 3D Scanning and Model Error Distribution-Based Characterisation of Welding Defects
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