轧制过程多因素耦合机理模型与工艺参数数据库数据集

本数据集主要由轧制过程多因素耦合基础机理模型数据集和轧制过程工艺参数数据库数据集构成，容量2.78GB。轧制过程多因素耦合基础机理模型数据集围绕热轧轧制过程多因素耦合机理建模技术研究，由技术研究中自主开发轧制过程（热连轧、冷连轧、中厚板及炉卷轧机）基础机理模型构成，集中反映了轧制过程工艺对象弹塑性变形、温度场分布、秒流量匹配等的动态变化过程。轧制过程工艺参数数据库数据集围绕热轧轧制过程开展采集，集中反映了热轧厚度控制、宽度控制、终轧温度控制、凸度控制、平直度控制、卷取温度控制等过程的生产状态、工况、产品质量等特征。轧制过程工艺参数数据库数据集覆盖典型热轧产线的基础信息数据、典型钢种的材料数据、典型热轧产线的生产、工艺、质量等过程数据。本数据集充分刻画了多尺度耦合分析的轧制过程工艺对象的实时行为变化、轧制过程工艺对象的状态与行为特征，涵盖典型钢铁材料、各类差异化生产线工艺等信息，为热轧轧制控制参数优化、工艺控制模型调优、轧制工艺优化研究、热轧轧制精准执行、高精度工艺控制模型研发、全流程质量管控研究提供真实工业化生产数据支撑。This dataset comprises two core components: the multi-factor coupled fundamental mechanism model dataset for rolling processes and the rolling process parameter database dataset, with a total capacity of 2.78 GB. The multi-factor coupled fundamental mechanism model dataset is developed for research on multi-factor coupled mechanism modeling technologies for hot rolling processes, and is composed of self-developed fundamental mechanism models for various rolling processes (including hot continuous rolling, cold continuous rolling, medium and heavy plate rolling, and Steckel mill) from the technical research. It comprehensively reflects the dynamic change processes of process objects in rolling processes, such as elasto-plastic deformation, temperature field distribution, and per-second flow matching. The rolling process parameter database dataset is collected focusing on hot rolling processes, and comprehensively reflects the production status, working conditions, product quality and other characteristics of processes including hot rolling thickness control, width control, finishing temperature control, crown control, flatness control, and coiling temperature control. This rolling process parameter database dataset covers basic information data of typical hot rolling production lines, material data of typical steel grades, as well as production, process, quality and other process data of typical hot rolling production lines. This dataset fully characterizes the real-time behavioral changes and state and behavioral characteristics of process objects in rolling processes analyzed via multi-scale coupling, covers information such as typical steel materials and various differentiated production line processes, and provides real industrial production data support for hot rolling control parameter optimization, process control model tuning, rolling process optimization research, accurate execution of hot rolling, high-precision process control model development, and whole-process quality management and control research.

搜集汇总

背景与挑战

背景概述

该数据集包含轧制过程多因素耦合基础机理模型和工艺参数数据库两部分，总容量2.78GB。机理模型数据集涵盖热连轧、冷连轧等基础模型，反映轧制过程中弹塑性变形、温度场分布等动态变化；工艺参数数据库则采集热轧过程的厚度、宽度、温度等控制数据，覆盖典型产线信息和钢种材料。数据集为轧制工艺优化、控制模型研发及全流程质量管控提供真实工业化数据支撑。