Submerged Arc Welding Open Repository

This dataset collects data from various test coupons subjected to the submerged arc welding (SAW) process. It includes not only the process data, but also the design of the experiment including process window parameterization setup, as well as NDT (Non-Destructive Testing) data. Motivation The industrialization of manufacturing processes requires comprehensive data management and system automation to ensure production quality, reliability, and efficiency. In this context, SAW has become a key technology in fabricating of high-strength, high-performance metal components. However, quality control and early defect detection remain critical challenges in ensuring process stability, repeatability, and traceability. To address this, we present an open dataset on SAW, covering all stages of the manufacturing process, from design and planning to validation and quality control. This resource aims to serve as a foundation for developing new data-driven methodologies, contributing to the continuous optimization and improvement of SAW processes while accelerating their digital transformation. Authors Estefanía Tapia Suárez: main contact ([e-mail]) Inés Pérez Couñago Juan Manuel Fernández Christian Eike Precker Cristina Ruiz Entities This dataset was collected under the PENELOPE project. Attributions: AIMEN: Process data collection and manufacturing of X-joint coupons. IDESA: Process window parametrization setup. Structure The dataset follows this structure: Database [SAMPLE 1 NAME] process_data [BEAD 1 NAME] Photo: pictures of the manufactured bead sample. Format: jpg. Process data: data recorded from the process. Format hdf5. Profilometer: data from a 3D bead reconstruction. Format: txt. [BEAD 2 NAME] Same structure as for BEAD 1. NDT_data X-ray: radiographic test report. Format pdf. UT: ultrasonic testing report. Format pdf. PAUT: phase array ultrasonic testing. Format nde. defects locations: Location of defects identified along each weld bead. Format xlsx. pics Photo: pictures of the completed weld coupon. Format jpg. [SAMPLE 2 NAME] Same structure as for SAMPLE 1. Design_materials_settings: information on the welding parameters and welding sequence used in the manufacturing of each coupon. Format: pdf. README: metadata and information about the sample. Format: txt. Software To open the different files that conform the dataset, we recommend the following Open softwares: hdf5 -> HDF5 Viewer: https://www.hdfgroup.org/downloads/hdfview/ txt -> cloud compare: https://cloudcompare.org/ nde -> ShareCad: https://beta.sharecad.org/ More information on how to open the files of the dataset can be found in the README.本数据集收集了多组经受埋弧焊（submerged arc welding, SAW）工艺的试验试板的相关数据，不仅包含工艺过程数据，还涵盖了包含工艺窗口参数化配置在内的试验设计内容，以及无损检测（Non-Destructive Testing, NDT）数据。 ### 研究背景 制造工艺的工业化应用亟需完善的数据管理与系统自动化方案，以保障生产质量、可靠性与生产效率。在此背景下，埋弧焊已成为制备高强度、高性能金属构件的核心技术之一。然而，在保障工艺稳定性、可重复性与可追溯性的全流程中，质量管控与早期缺陷检测仍是亟待突破的关键挑战。 为应对上述痛点，本团队发布了一套埋弧焊开源数据集，覆盖从设计规划、工艺验证到质量管控的制造全流程。该数据集旨在为新型数据驱动方法的开发提供基础支撑，助力埋弧焊工艺的持续优化与改进，同时加速其数字化转型进程。 ### 作者信息 Estefanía Tapia Suárez：主要联系人（[e-mail]） Inés Pérez Couñago Juan Manuel Fernández Christian Eike Precker Cristina Ruiz ### 项目归属与贡献方 本数据集依托PENELOPE项目采集完成。相关贡献方如下： - AIMEN：负责X型坡口试板的工艺数据采集与制造 - IDESA：负责工艺窗口参数化配置 ### 数据集结构 本数据集的组织架构如下： 数据库 ├─ [样本1名称] │ ├─ 工艺数据 │ │ ├─ [焊道1名称] │ │ │ ├─ 照片：已制成的焊道试样实拍图，格式为jpg │ │ │ ├─ 工艺数据：工艺过程采集的记录数据，格式为hdf5 │ │ │ └─ 轮廓仪数据：焊道三维重建相关数据，格式为txt │ │ └─ [焊道2名称]：结构与焊道1一致 │ ├─ 无损检测数据 │ │ ├─ X射线检测：射线检测报告，格式为pdf │ │ ├─ 超声检测（Ultrasonic Testing, UT）：超声检测报告，格式为pdf │ │ ├─ 相控阵超声检测（Phase Array Ultrasonic Testing, PAUT）：相控阵超声检测数据，格式为nde │ │ └─ 缺陷位置：各焊道上识别出的缺陷分布数据，格式为xlsx │ └─ 实拍图片：成品焊接试板实拍图，格式为jpg ├─ [样本2名称]：结构与样本1一致 ├─ 设计与材料参数设置：各试板制造所用焊接参数及焊接顺序相关信息，格式为pdf └─ README：样本元数据与说明信息，格式为txt ### 配套工具 为打开本数据集的各类文件，推荐使用以下开源软件： - hdf5格式文件：HDF5 Viewer，下载地址：https://www.hdfgroup.org/downloads/hdfview/ - txt格式文件：CloudCompare，下载地址：https://cloudcompare.org/ - nde格式文件：ShareCad，下载地址：https://beta.sharecad.org/ 关于数据集文件打开方式的更多细节，请参见README文档。