Multimodal experimental data for tandem gas metal arc welding of thick steel plates with advanced pulsed and short-circuiting process modes
4 affiliations
- 1Bundesanstalt für Materialforschung und –prüfung (BAM), Berlin, 12205, Germany; Corresponding author.
- 2Bundesanstalt für Materialforschung und –prüfung (BAM), Berlin, 12205, Germany; University West, Trollhättan, 461 86, Sweden
- 3Bundesanstalt für Materialforschung und –prüfung (BAM), Berlin, 12205, Germany
- 4Technische Universität Berlin, Berlin, 10623, Germany; Bundesanstalt für Materialforschung und –prüfung (BAM), Berlin, 12205, Germany; Fraunhofer IPK, Berlin, 10587, Germany
Abstract
High power tandem gas metal arc welding (T-GMAW) enables increased productivity in thick plate applications by supplying two wires to a single melt pool. Besides increasing the deposition rate, T-GMAW has previously been demonstrated to offer improved energy efficiency and a reduced environmental footprint compared to single wire process variants. However, due to the complex interaction of both arc processes, achieving stable and reliable welding conditions has historically been challenging, especially at high deposition rates. Introduction of advanced process mode variants for pulsed and controlled short-circuiting transfer modes have increased the stability of the T-GMAW process and widened the field of applications. Since these new technologies are emerging and availability of publications and datasets in T-GMAW is limited – especially with modern equipment and process modes – we want to present an initial comprehensive multimodal T-GMAW dataset covering a variety of process mode combinations and deposition rates. A common multi-layer V-Groove joint design is chosen to reflect real world thick plate applications. The dataset covers high resolution time series recordings of the welding process parameters, its arc process signatures, power and material consumptions and the exact movement of the welding torch along the groove in a weaving pattern. Furthermore, detailed 3D measurements of the weld seam surface are included for each layer together with high dynamic range video recordings of the T-GMAW process. The dataset enables researchers to analyse the process in a variety of ways. Possible applications could include the calculations of heat input and process efficiency dependent on the chosen process parameters or evaluation of the process signatures in relation to the groove geometry and weaving pattern for arc sensing. The provided video recordings also allow estimations of the melt pool size and shape which are widely used as inputs for welding simulations. Researchers interested in life-cycle inventory development can compare the advanced T-GMAW process to other joining and manufacturing processes based on the included data.
Related
- Multimodal prediction of neoadjuvant chemotherapy response in locally advanced gastric cancer: a multicenter cohort study
- Advanced recovery of ergosterol- and vitamin D2-rich fractions from mushrooms: process intensification and scale-up challenges
- Prediction of pathological complete response to neoadjuvant chemo-immunotherapy in locally advanced lung adenocarcinoma: a multimodal machine learning approach
- Early diagnosis program for multimodal primary open-angle glaucoma based on clinical process
- Anti-tumor immunotherapy, radiotherapy, and chemotherapy multimodal combination strategies and interactions in unresectable, locally advanced lung cancer: Clinical practice, mechanism, and biomarker research
BibTeX
@article{fabry2026multimodal,
title = {{Multimodal experimental data for tandem gas metal arc welding of thick steel plates with advanced pulsed and short-circuiting process modes}},
author = {Çağtay Fabry and Prashant Kumar Chaurasia and Andreas Pittner and Michael Rethmeier},
journal = {Data in Brief},
year = {2026},
month = aug,
doi = {10.1016/j.dib.2026.113329},
url = {https://doi.org/10.1016/j.dib.2026.113329},
note = {CC BY},
}
RIS
TY - JOUR
TI - Multimodal experimental data for tandem gas metal arc welding of thick steel plates with advanced pulsed and short-circuiting process modes
AU - Çağtay Fabry
AU - Prashant Kumar Chaurasia
AU - Andreas Pittner
AU - Michael Rethmeier
PY - 2026
DA - 2026/08/01
JO - Data in Brief
DO - 10.1016/j.dib.2026.113329
UR - https://doi.org/10.1016/j.dib.2026.113329
AB - High power tandem gas metal arc welding (T-GMAW) enables increased productivity in thick plate applications by supplying two wires to a single melt pool. Besides increasing the deposition rate, T-GMAW has previously been demonstrated to offer improved energy efficiency and a reduced environmental footprint compared to single wire process variants. However, due to the complex interaction of both arc processes, achieving stable and reliable welding conditions has historically been challenging, especially at high deposition rates. Introduction of advanced process mode variants for pulsed and controlled short-circuiting transfer modes have increased the stability of the T-GMAW process and widened the field of applications. Since these new technologies are emerging and availability of publications and datasets in T-GMAW is limited – especially with modern equipment and process modes – we want to present an initial comprehensive multimodal T-GMAW dataset covering a variety of process mode combinations and deposition rates. A common multi-layer V-Groove joint design is chosen to reflect real world thick plate applications. The dataset covers high resolution time series recordings of the welding process parameters, its arc process signatures, power and material consumptions and the exact movement of the welding torch along the groove in a weaving pattern. Furthermore, detailed 3D measurements of the weld seam surface are included for each layer together with high dynamic range video recordings of the T-GMAW process. The dataset enables researchers to analyse the process in a variety of ways. Possible applications could include the calculations of heat input and process efficiency dependent on the chosen process parameters or evaluation of the process signatures in relation to the groove geometry and weaving pattern for arc sensing. The provided video recordings also allow estimations of the melt pool size and shape which are widely used as inputs for welding simulations. Researchers interested in life-cycle inventory development can compare the advanced T-GMAW process to other joining and manufacturing processes based on the included data.
SN - 2352-3409
ER -