Dataset of reinforcement and width estimation in GMAW weld bead process

In the search for smarter and more efficient welding methods, the measurement of the quality of parts is fundamental but limited since, traditionally, it is necessary to destroy samples of a prodution batch to estimate this quality. However, for an online estimation and possible corrections in production, this work brings the data result of an attempt to estimate the width and reinforcement of the weld bead through acquisition techniques with thermographic sensors and profilometers on a motorized table and controlled in a GMAW process.在探索更智能高效的焊接工艺的过程中，工件质量检测是一项至关重要却存在局限的工作——传统检测方式需破坏生产批次的样本，方可完成质量评估。为实现生产环节的在线质量估算与实时工艺修正，本研究借助搭载于电动工作台的热成像传感器（thermographic sensors）与轮廓仪（profilometers），在气体金属电弧焊（Gas Metal Arc Welding，GMAW）工艺的控制下开展焊缝焊道宽度与余高估算实验，最终得到本数据集对应的实验数据结果。