遇见数据集

Q420钢热轧过程数值模拟材料库

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该数据集由北京科技大学的朱国明教授团队创建,主要面向Q420钢热轧过程的数值模拟研究,旨在满足超大H型钢热轧工艺优化和质量控制的需求。数据集基于实验室研究和工业试制产生,结合了高温变形抗力实验、材料物性参数计算(如比热容、导热系数、密度、弹性模量、泊松比、应力应变曲线等)以及数值模拟技术。数据采集方法包括使用Gleeble-1500D热模拟实验机进行高温变形抗力测试,并通过JMatPro等软件计算材料的热物性参数。数据集采用LS-DYNA材料文件的标准格式,定义了Q420钢在热轧过程中的材料参数,数据量为16KB。该数据集为Q420钢热轧过程的数值模拟提供了材料基础,支持热轧工艺的优化设计和产品质量提升。

This dataset was developed by the team led by Professor Zhu Guoming from the University of Science and Technology Beijing, and is primarily targeted at numerical simulation research on the hot rolling process of Q420 steel, aiming to meet the requirements of process optimization and quality control for the hot rolling of extra-large H-beams. This dataset is generated based on laboratory research and industrial trial production, integrating high-temperature deformation resistance experiments, calculation of material physical property parameters (including specific heat capacity, thermal conductivity, density, elastic modulus, Poisson's ratio, stress-strain curves, etc.) and numerical simulation technologies. The data collection methods include conducting high-temperature deformation resistance tests using a Gleeble-1500D thermal simulation testing machine, and calculating the thermophysical property parameters of the material via software such as JMatPro. The dataset adopts the standard format of LS-DYNA material files, defining the material parameters of Q420 steel during the hot rolling process, with a total data volume of 16 KB. This dataset provides a material basis for numerical simulation of the hot rolling process of Q420 steel, supporting the optimized design of hot rolling processes and the improvement of product quality.

提供机构:
北京科技大学
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数据集介绍
Q420钢热轧过程数值模拟材料库 数据集图片
背景与挑战
背景概述
该数据集由北京科技大学朱国明教授团队创建,专用于Q420钢热轧过程的数值模拟研究,旨在优化超大H型钢的热轧工艺与质量控制。它基于高温变形抗力实验和材料热物性参数计算生成,采用LS-DYNA标准格式,为相关模拟提供基础材料参数支持。
以上内容由遇见数据集搜集并总结生成
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