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