Dataset for estimating reinforcement, width and penetration of the weld bead in the GMAW process using thermographic...

In pursuit of smarter and more efficient welding methods, assessing the quality of welded components remains critical but is often constrained by traditional destructive testing methods for evaluating production batches. This work addresses this challenge by presenting a comprehensive dataset collected during the Gas Metal Arc Welding (GMAW) process, which has been utilised in models for estimating weld bead width, penetration, and reinforcement. The experiments employ thermographic sensors and laser profilometers integrated into a motorised and controlled welding setup. Detailed descriptions of the dataset structure, acquisition techniques, and potential applications are provided. The dataset can be a valuable resource for researchers seeking to develop and test advanced control algorithms and dynamic models of the GMAW welding process. Data from four experiments are available, offering extensive material for training, validation, and further exploration.