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基于数据治理的钢铁材料数字化研发

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针对国内钢铁行业在数据治理、数字化和智能化应用技术方面的现状与挑战,提出将高通量试验、材料集成计算、大数据分析相结合的材料数字化研发思想,以推动钢铁材料数字化革新.分析了当前钢铁行业数字化研发的背景及其在全球范围内的发展趋势,强调了在数据治理中数字材料基因(DMG)在材料科学中的中心地位,并提出了用于数字材料研发的试验-计算-数据-整合(ECDC)的系统框架,包括高通量试验驱动模式、计算驱动模式、数据驱动模式和整合策略.这些模式不仅促进了材料的快速开发和性能优化,还实现了工艺和材料设计的高效整合.通过详细介绍数字化研发在温成形中锰钢、吉帕级海工钢、第三代Q&P钢开发等具体案例中的应用,以展示数字化方法有效解决材料的高强、高韧、高耐蚀等设计难点的途径.材料数字化研发思想为钢铁材料的数字化研发提供了理论和实践指导,通过整合和优化不同的技术方法,数字化研发体系有望显著提高钢铁材料研发的效率和质量,推动钢铁行业的高效可持续发展.
Digital research and development for steel materials based on data governance
Addressing current state and challenges of data governance,digitization,and intelligent application tech-nologies in domestic steel industry,a methodology of digital research and development(R&D)for steel materials combining high-throughput experimentation,material integrated calculation and big data analysis is proposed to pro-pel the digital revolution in steel materials.The background of digital R& D in the steel industry and its global devel-opment trends are analyzed,and the central role of Digital Material Gene(DMG)in data governance within materials science is emphasized.The framework of Experimental-Computational-Data-Consolidation(ECDC)system for digit-al materials R&D is presented,including high-throughput experimental-driven,computation-driven,big data-driven modes,and integration strategies.These modes not only facilitate rapid development and performance optimization of materials but also achieve efficient integration of process and material design.The application of digital R&D in specific cases such as the development of manganese steel for warm forming,GPa-grade marine engineering,and third-generation Q&P steel is introduced in detail to show how digital methods can effectively address challenges in material strength,toughness and corrosion resistance.The research provides theoretical and practical guidance for digital R&D of steel materials.Through integrating and optimizing various technological approaches,the digital R& D system is expected to significantly enhance the efficiency and quality of steel material development,promoting efficient and sustainable development in the steel industry.

data governanceECDC systemhigh throughputbig datadigital research and development

王军生、林利、张宇、刘鑫

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鞍钢集团北京研究院有限公司,北京 102209

海洋装备用金属材料与应用国家重点实验室,辽宁鞍山 114002

数据治理 ECDC体系 高通量 大数据 数字化研发

国家重点研发计划

2021YFB3702000

2024

中国冶金
中国金属学会

中国冶金

CSTPCD北大核心
影响因子:0.907
ISSN:1006-9356
年,卷(期):2024.34(6)