典型热连轧产品成分、工艺、力学性能数据集

本数据集作为“机理模型与生产数据协同的动态数字孪生模型”项目在力学性能预测方向的核心成果集成，容量96.24MB，系统整理了2022年11月至2025年10月期间来源于山东钢铁集团2250mm热连轧产线的工业生产数据。数据集聚焦Q235B、Q355B、SPHC、510L等典型钢种，完整收录了其在热轧全流程中的化学成分、关键工艺参数以及对应的力学性能实测数据，并附有金相组织照片作为多模态补充。基于该数据集，项目融合物理冶金机理与数据驱动方法，构建了高精度人工智能预测模型，实现屈服强度、抗拉强度和延伸率的精准预测。数据以.xlsx、.docx、.bak、.pdf等多种格式存储，不仅为热连轧产品力学性能的数字化预测与工艺优化提供了坚实数据基础，也形成了包含专利、软著及认证报告在内的完整科研成果体系。该数据集质量控制严格，采用在线测量仪器实时采集关键参数，数据覆盖多批次轧制生产周期，为热连轧产品性能预测、工艺优化及新产品研发提供了坚实的数据决策基础，具有重要的工业应用价值和科学研究意义。

This dataset serves as the core integrated achievement of the project titled "Dynamic Digital Twin Model with Collaborative Mechanistic Model and Production Data" in the field of mechanical property prediction, with a total size of 96.24 MB. It systematically organizes industrial production data collected from the 2250mm hot rolling production line of Shandong Iron and Steel Group between November 2022 and October 2025. The dataset focuses on typical steel grades including Q235B, Q355B, SPHC, 510L and others, fully recording their chemical composition, key process parameters and corresponding measured mechanical property data across the entire hot rolling process, and is supplemented with metallographic microstructure photos as multimodal content. Based on this dataset, the project integrates physical metallurgy mechanisms and data-driven methods to build a high-precision artificial intelligence prediction model, enabling accurate prediction of yield strength, tensile strength and elongation. The data is stored in multiple formats including .xlsx, .docx, .bak, .pdf and others. It not only provides a solid data foundation for digital prediction of mechanical properties and process optimization of hot-rolled products, but also forms a complete scientific research achievement system covering patents, software copyrights and certification reports. This dataset has strict quality control: key parameters are collected in real time via online measuring instruments, and the data spans multiple batches of rolling production cycles. It provides a reliable data decision-making basis for performance prediction, process optimization and new product development of hot-rolled products, holding important industrial application value and scientific research significance.

搜集汇总

背景与挑战

背景概述

该数据集系统整理了2022年11月至2025年10月期间山东钢铁集团2250mm热连轧产线的工业生产数据，涵盖Q235B、Q355B等典型钢种的化学成分、工艺参数及力学性能实测数据。数据集容量96.24MB，包含41个文件，采用多种格式存储，为热连轧产品性能预测和工艺优化提供了坚实的数据基础。