锻压技术

基于热轧C-Mn钢性能测算模型的开发与应用

英文标题：Development and application of performance measurement model based on the hot rolling steel C-Mn

作者：刘勇刘富贵杨竹邱敏叶晓瑜

分类号：TG335.11

出版年,卷(期):页码：2015,40(11):141-147

摘要：

热轧带钢性能预报技术是一种利用高新技术、信息集成技术准确预测产品力学性能的、对钢铁工业有深远影响的前沿技术，但目前在线工业应用仍存在一些限制环节，在线应用的实例鲜有报道。攀钢研究开发了一种基于热连轧C-Mn钢力学性能预报系统，通过建立和开发典型钢种力学性能预报数理统计模型和应用技术平台，并通过近10类典型钢种和1000余炉次现场过程数据的验证和模型调优，实现了热轧典型产品力学性能预报系统的在线应用，模型预报偏差小于8%。同时，依托信息技术实现产品取样的精管理的精细化，减少产品中间品实物取样量，取样替代率达到80.49%，生产物流周期缩短24 h以上，降低了企业的过程生产成本。

The performance prediction technology of the hot rolling steel strip is an advanced technology that influences on the steel industry with the high-technique and information integration technologies to accurately predict the mechanical properties of the product. However, it is difficult to carry out the on-line application because of some restricted links, and it is also seldom reported. The steel C-Mn hot rolling mechanical property prediction system was developed by Pangang Group, and the online application was realized through the establishment and development of mathematical statistical model on mechanical properties of typical steels and application technology platform. It was also conducted the real data validation of nearly 10 categories and more than 1000 species of typical steel furnace and model modification. The deviation of model prediction is less than 8%. At the same time, based on information technology, it is realized the fine management of sampling products, and the amount of product intermediate sampling is reduced. Therefore, the sample replacement rate reaches 80.49 percent, and the production logistics cycles are reduced more than 24 h. Furthermore, the production process costs are saved.

基金项目：

国家自然科学基金资助项目（51204048）

刘勇（1972-），男，硕士，教授级高级工程师，首席工程师

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