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板带轧制过程中的智能化关键技术
引用本文:张殿华,彭文,孙杰,丁敬国,李旭.板带轧制过程中的智能化关键技术[J].钢铁研究学报,2019,31(2):174-179.
作者姓名:张殿华  彭文  孙杰  丁敬国  李旭
作者单位:东北大学轧制技术及连轧自动化国家重点实验室,辽宁沈阳,110819;东北大学轧制技术及连轧自动化国家重点实验室,辽宁沈阳,110819;东北大学轧制技术及连轧自动化国家重点实验室,辽宁沈阳,110819;东北大学轧制技术及连轧自动化国家重点实验室,辽宁沈阳,110819;东北大学轧制技术及连轧自动化国家重点实验室,辽宁沈阳,110819
基金项目:国家重点研发计划;国家自然科学基金;国家自然科学基金;国家自然科学基金;轧制技术;国家重点实验室开放基金;中央高校基本科研业务费专项;中央高校基本科研业务费专项
摘    要:通过智能化关键技术实现多工序、全流程板带产品质量提升和生产过程优化,解决由于工序界面和工况复杂性导致的产品质量和生产效率问题,是板带轧制智能化的未来发展方向。在智能化系统构建中要开发以下智能化关键技术,首先要基于CPS架构建立多工序协调优化系统,实现轧制过程多工序协调优化与质量精准控制;其次,面向定制化生产的智能优化决策与动态排程技术,提高生产效率;第三,基于产品全流程质量在线监控、诊断与优化技术,打通制备全流程质量信息流,实现产品质量异常追溯和关键质量参数在制备全流程的优化;最后,开发轧制过程性能一体化智能控制技术,通过轧制过程温控-变形耦合-性能匹配控制,形成智能化组织性能预测、动态快速设计及钢种归并技术。

关 键 词:板带材  智能制造  CPS系统  质量提升  协调优化

Key intelligent technologies of steel strip rolling process
ZHANG Dian- hua,PENG Wen,SUN Jie,DING Jing- guo,LI Xu.Key intelligent technologies of steel strip rolling process[J].Journal of Iron and Steel Research,2019,31(2):174-179.
Authors:ZHANG Dian- hua  PENG Wen  SUN Jie  DING Jing- guo  LI Xu
Affiliation:The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, Liaoning, China
Abstract:The future development direction of strip intelligent manufacturing is to realize the optimization of product quality and production process in multi- process, system- level and to improve product quality and production efficiency caused by the complexity of working interface and working conditions. In the construction of intelligent system, the following intelligent key technologies should be developed. First of all, based on CPS architecture, the precise control technology of process quality parameters and the structure of multi- process coordination optimization system should be developed. Secondly, intelligent optimization decision- making and dynamic scheduling technology should be designed for customized production to improve production efficiency. Then, with the online monitoring, diagnosis and optimization technology of product quality, the information flow of entire production process is fluent, the traceability of product quality anomalies is realized, and key quality parameters in the entire production process are optimized. Finally, with the development of the integrated intelligent control technology of rolling process, intelligent prediction of microstructure and performances, dynamic rapid design and steel grade merging technology could be realized based on temperature control- deformation coupling- performance matching control in rolling process.
Keywords:steel strip  intelligent manufacturing  cyber-physical system (CPS)  quality improvement  throughprocess optimization
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