Non-destructive inspection system for MAG welding processes by combining multimodal data

ABSTRACT

Welding processes are influenced by many parameters. By merging data to multimodal information from multichannel images and signals of various welding parameters, the correlation of these and their influence on weld seam imperfections are investigated. The application of a multispectral area camera array enables a new approach on non-destructive testing particularly supported by the passive thermography. The results show the different cooling behaviour of several welding imperfections, such as porosity, and present the relation between incorrect welding parameters and imperfections.

KEYWORDS:

• MAG welding
• multispectral imaging
• passive thermography
• non-destructive testing
• data merging

Disclosure statement

No potential conflict of interest was reported by the authors.

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

This work was supported by the Federal Ministry of Education and Research (BMBF) in the project ‘Multi-modal data acquisition and analysis’ under Grant [03PSIPT3A] (project acronym 3dStahl).

Notes on contributors

Katharina Simmen

Katharina Simmen is a research fellow in the Group for Quality Assurance and Industrial Image Processing at Technische Universität Ilmenau since 2016. The focus of her work is the field of process quality assurance of welding processes due to non-destructive testing.

Benjamin Buch

Benjamin Buch works as a software developer in the Group for Quality Assurance and Industrial Image Processing at Technische Universität Ilmenau since 2017. The focus of his work is the analysis of different kinds of data and software engineering.

Andreas Breitbarth

Andreas Breitbarth received his diploma and PhD degree in computer science from Friedrich Schiller University, Jena, in 2008 and 2015, respectively. During 2009 to 2015 he has been with the Optical System Department at the Fraunhofer IOF, Jena. Since 2015, he is a member of the Group for Quality Assurance and Industrial Image Processing at the Technische Universität Ilmenau. He is working on the development and improvement of three-dimensional imaging systems.

Gunther Notni

Gunther Notni received his diploma and PhD in physics from Friedrich Schiller University, Jena, in 1988 and 1992, respectively. Since 1992, he is a staff member at the Fraunhofer IOF, where he is the head of the Optical Systems Department. His research interests include 3-D shape measurement, surface characterization, interferometry, THz imaging, and phase conjugation. Since October 2014, he has been a professor at the Technische Universität Ilmenau and headed the Group for Quality Assurance and Industrial Image Processing.