Frontiers in Energy Research · 2024 · 25 citations · 144 references
EngineeringManufacturing EngineeringNuclear EngineeringAdditive ManufacturingAutomationComputer-integrated ManufacturingCybersecurity For Nuclear SystemsDigital FactoryDigital ManufacturingDigital Twin DesignIndustrial AutomationManufacturing AutomationAdditive Manufacturing IntegrationAdvanced Manufacturing TechnologiesDigital Twin ApplicationsDigital Twin IntegrationDigital TwinsDigital Twins For MaintenanceOperational Efficiency DesignOptimization Of Complex Systems
Advanced manufacturing techniques and digital twin technology are rapidly transforming the nuclear industry, offering the potential to enhance productivity, safety, and cost-effectiveness. Customized parts are being produced using additive manufacturing, automation, and robotics, while digital twin technology enables the virtual modeling and optimization of complex systems. These advanced technologies can significantly improve operational efficiency, predict system behavior, and optimize maintenance schedules in the nuclear energy sector, leading to heightened safety and reduced downtime. However, the nuclear industry demands the highest levels of safety and security, as well as intricate manufacturing processes and operations. Thus, challenges such as data management and cybersecurity must be addressed to fully realize the potential of advanced manufacturing techniques and digital twin technology in the nuclear industry. This comprehensive review highlights the critical role of digital twin technology with advanced manufacturing toward nuclear energy to improve performance, minimize downtime, and heighten safety, ultimately contributing to the global energy mix by providing dependable and low-carbon electricity.
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Digital Twin in Industry: State-of-the-Art
Fei Tao, He Zhang, Ang Liu et al. · IEEE Transactions on Industrial Informatics · 2019 · 3.8K citations
Engineering, Industrial Engineering, Manufacturing Engineering +17
Materials challenges in nuclear energy
S.J. Zinkle, Gary S. Was · Acta Materialia · 2013 · 2.6K citations
Digital Twin: Enabling Technologies, Challenges and Open Research
Aidan Fuller, Zhong Fan, Charles Day et al. · IEEE Access · 2020 · 2.5K citations · Full text
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