超大异形连铸坯中T.O、[S]、[P]等元素含量及夹杂物分析数据

该数据集由北京科技大学的姜敏教授团队创建，主要面向钢铁材料的高洁净化冶炼和夹杂物控制技术研究，旨在满足高性能超大H型钢的生产需求。数据集基于炼钢、连铸等高温物理化学反应过程，通过实验室和工业试验产生，记录了钢液中T.O（总氧）、[S]（硫）、[P]（磷）等杂质元素的含量以及非金属夹杂物的特征数据。数据采集方法包括高温共聚焦显微镜、SEM-EDS（扫描电子显微镜-能谱分析）等技术，结合炉渣-钢液-耐材的高温反应模型，研究夹杂物的生成、转化及其在连铸过程中的演变规律。数据集包含122个数据文件，格式为PDF、TIF和XLSX，数据量达9.24GB，涵盖了不同脱氧工艺、炉渣条件和耐火材料对钢液洁净度和夹杂物控制的影响。该数据集为钢铁材料的洁净化冶炼和夹杂物控制提供了重要的技术支撑，尤其适用于超大H型钢的生产优化和质量提升。数据共享方式为部分共享，计划于2025年2月公开，使用需遵循知识共享许可协议（CC BY-NC-ND）。This dataset was developed by the team led by Professor Jiang Min from the University of Science and Technology Beijing, focusing on research into clean smelting and inclusion control technologies for steel materials, with the goal of meeting the production demands of high-performance extra-large H-section steels. Generated via laboratory and industrial experiments based on high-temperature physico-chemical reaction processes including steelmaking and continuous casting, the dataset records the concentrations of impurity elements such as total oxygen (T.O), sulfur ([S]), and phosphorus ([P]) in molten steel, alongside characteristic data of non-metallic inclusions. Data collection methods encompass technologies like high-temperature confocal microscopy and SEM-EDS (Scanning Electron Microscope-Energy Dispersive Spectroscopy), combined with high-temperature reaction models of slag-molten steel-refractory to investigate the formation, transformation, and evolution laws of inclusions during continuous casting. The dataset comprises 122 data files in PDF, TIF, and XLSX formats, with a total size of 9.24 GB, covering the impacts of different deoxidization processes, slag conditions, and refractory materials on molten steel cleanliness and inclusion control. This dataset provides critical technical support for clean smelting and inclusion control of steel materials, and is especially suitable for production optimization and quality enhancement of extra-large H-section steels. The dataset is available for partial sharing, scheduled for public release in February 2025, and its usage must comply with the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license.

搜集汇总

背景与挑战

背景概述

该数据集由北京科技大学姜敏教授团队创建，专注于钢铁材料的高洁净化冶炼和夹杂物控制技术研究，旨在优化高性能超大H型钢的生产。它基于炼钢和连铸过程，通过实验记录了T.O、[S]、[P]等杂质元素含量及非金属夹杂物特征，采用高温共聚焦显微镜、SEM-EDS等技术采集数据，包含122个文件、9.24GB数据，格式包括PDF、TIF和XLSX。