基于恒焊接温度控制的长程搅拌摩擦焊形性协同调控数据集
收藏国家基础学科公共科学数据中心2026-01-17 收录
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为实现贮箱超大结构的长程焊缝高稳定连接,本研究开展了基于搅拌摩擦焊核心区温度的温度控制搅拌摩擦焊技术研究,建立并发布了“基于恒焊接温度控制的长程搅拌摩擦焊形性协同调控数据集”。该数据集包含,试验、机器学习与第三方检测数据。数据集包含四个部分:(1)纹理与焊接质量的联系,记录长程搅拌摩擦焊的表面纹理和抗拉强数据,数据以*.xlsx与*.jpg格式保存;(2)装配误差对温度和焊接质量的影响,包含8组不同间隙和错边的搅拌摩擦焊缝过程温度和接头抗拉强度,以*.xlsx 与*.tif格式保存;(3)材料缺失对温度和质量的影响数据集,包含4组不同材料缺失的焊接试验过程温度和接头抗拉强度,以*.xlsx 与*.tif格式保存;(4)长程搅拌摩擦焊焊接过程实时温度测控技术,包含现场认证报告,焊接温度和接头强度波动率报告(*.pdf,*.docx,*.xlsx,*.tif)及拉伸曲线图。数据采集时间为2021年1月至2025年4月,采集地点包括中南大学机电工程学院与轻合金研究院。主要设备包括重型搅拌摩擦焊机、自制搅拌摩擦焊核心区温度检测系统、CMT-5205电子万能试验机。该数据集系统记录了设备搭建及优化、焊接温度、焊接纹理与焊接质量关联性研究到第三方质量评估的全过程,为超大结构焊缝的温度控制搅拌摩擦焊技术研究提供了系统性数据支撑。
To achieve highly stable long-distance weld connection for ultra-large tank structures, this study conducted research on temperature-controlled friction stir welding (FSW) technology based on the core zone temperature of FSW, and established and released the "Cooperative Regulation Dataset for Long-distance Friction Stir Welding Formability and Performance Based on Constant Welding Temperature Control". This dataset encompasses experimental, machine learning and third-party inspection data, and is divided into four parts: (1) Correlation between surface texture and welding quality: Records surface texture and tensile strength data of long-distance FSW, saved in *.xlsx and *.jpg formats; (2) Influence of assembly errors on temperature and welding quality: Contains process temperature and joint tensile strength data of FSW joints with 8 sets of different gaps and misalignments, saved in *.xlsx and *.tif formats; (3) Dataset on the impact of material deficiency on temperature and weld quality: Includes process temperature and joint tensile strength data from 4 sets of welding tests with varying material deficiencies, saved in *.xlsx and *.tif formats; (4) Real-time temperature measurement and control technology for long-distance FSW processes: Covers on-site certification reports, welding temperature and joint strength volatility reports (*.pdf, *.docx, *.xlsx, *.tif) and tensile curves. Data collection was carried out from January 2021 to April 2025 at the School of Mechanical and Electrical Engineering and the Light Alloy Research Institute of Central South University. The main equipment includes heavy-duty friction stir welding machines, a self-developed core zone temperature detection system for friction stir welding, and the CMT-5205 electronic universal testing machine. This dataset systematically records the entire process from equipment setup and optimization, correlation between welding temperature, texture and weld quality, to third-party quality evaluation, providing systematic data support for research on temperature-controlled friction stir welding technology for ultra-large structure welds.
提供机构:
中南大学



