Advanced manufacturing and digital twin technology for nuclear energy*

Mondal, Kunal; Martinez, Oscar; Jain, Prashant

doi:10.3389/fenrg.2024.1339836

Advanced manufacturing and digital twin technology for nuclear energy*

Journal Article · Fri Feb 16 00:00:00 EST 2024 · Frontiers in Energy Research

DOI:https://doi.org/10.3389/fenrg.2024.1339836· OSTI ID:2317775

^[1]; ^[1]; ^[1]

Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

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.

View Accepted Manuscript (DOE)

Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Office of Nuclear Energy (NE), Office of Spent Fuel and Waste Disposition

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 2317775

Journal Information:: Frontiers in Energy Research, Journal Name: Frontiers in Energy Research Vol. 12; ISSN 2296-598X

Publisher:: Frontiers Research FoundationCopyright Statement

Country of Publication:: United States

Language:: English

References (181)

Ceramic Matrix Composites: Nuclear Applications Sauder, Cédric https://doi.org/10.1002/9781118832998.ch22	book	September 2014
CO2 Laser Cutting Powell, John https://doi.org/10.1007/978-1-4471-3384-1	book	January 1993
Digital Twins for Cyber-Physical Systems Security: State of the Art and Outlook Eckhart, Matthias; Ekelhart, Andreas Security and Quality in Cyber-Physical Systems Engineering https://doi.org/10.1007/978-3-030-25312-7_14	book	November 2019
Robotics and the Global Organisation of Production De Backer, Koen; DeStefano, Timothy Robotics, AI, and Humanity https://doi.org/10.1007/978-3-030-54173-6_6	book	February 2021
Leveraging Industry 4.0: Deep Learning, Surrogate Model, and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System Rahman, M.; Khan, Abid; Anowar, Sayeed Handbook of Smart Energy Systems https://doi.org/10.1007/978-3-030-72322-4_192-1	book	November 2022
Digital Twin – Fundamental Concepts to Applications in Advanced Manufacturing Pal, Surjya Kanta; Mishra, Debasish; Pal, Arpan Springer Series in Advanced Manufacturing https://doi.org/10.1007/978-3-030-81815-9	book	January 2022
Digital Twins in Manufacturing Ostaševičius, Vytautas Springer Series in Advanced Manufacturing https://doi.org/10.1007/978-3-030-98275-1	book	January 2022
Digital Twins for Nuclear Power Plants and Facilities Kropaczek, David J.; Badalassi, Vittorio; Jain, Prashant K. The Digital Twin https://doi.org/10.1007/978-3-031-21343-4_31	book	June 2023
Transfer Analysis of Human Engineering Skills for Adaptive Robotic Additive Manufacturing in the Aerospace Repair and Overhaul Industry French, Richard; Marin-Reyes, Hector; Benakis, Michalis Advances in Manufacturing, Production Management and Process Control https://doi.org/10.1007/978-3-319-94196-7_1	book	June 2018
Laser welding of dissimilar metal combinations Sun, Z.; Ion, J. C. Journal of Materials Science, Vol. 30, Issue 17 https://doi.org/10.1007/bf00361499	journal	September 1995
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies Thelen, Adam; Zhang, Xiaoge; Fink, Olga Structural and Multidisciplinary Optimization, Vol. 65, Issue 12 https://doi.org/10.1007/s00158-022-03425-4	journal	November 2022
Additive manufacturing and its societal impact: a literature review Huang, Samuel H.; Liu, Peng; Mokasdar, Abhiram The International Journal of Advanced Manufacturing Technology, Vol. 67, Issue 5-8 https://doi.org/10.1007/s00170-012-4558-5	journal	October 2012
Sustainable manufacturing: evaluation and modeling of environmental impacts in additive manufacturing Bourhis, Florent Le; Kerbrat, Olivier; Hascoet, Jean-Yves The International Journal of Advanced Manufacturing Technology, Vol. 69, Issue 9-12 https://doi.org/10.1007/s00170-013-5151-2	journal	July 2013
Wire-feed additive manufacturing of metal components: technologies, developments and future interests Ding, Donghong; Pan, Zengxi; Cuiuri, Dominic The International Journal of Advanced Manufacturing Technology, Vol. 81, Issue 1-4 https://doi.org/10.1007/s00170-015-7077-3	journal	May 2015
Additive manufacturing methods and modelling approaches: a critical review Bikas, H.; Stavropoulos, P.; Chryssolouris, G. The International Journal of Advanced Manufacturing Technology, Vol. 83, Issue 1-4 https://doi.org/10.1007/s00170-015-7576-2	journal	July 2015
Digital twin-based cyber physical production system architectural framework for personalized production Park, Kyu Tae; Lee, Jehun; Kim, Hyun-Jung The International Journal of Advanced Manufacturing Technology, Vol. 106, Issue 5-6 https://doi.org/10.1007/s00170-019-04653-7	journal	December 2019
Digital twin: current scenario and a case study on a manufacturing process Roy, Rohan Basu; Mishra, Debasish; Pal, Surjya K. The International Journal of Advanced Manufacturing Technology, Vol. 107, Issue 9-10 https://doi.org/10.1007/s00170-020-05306-w	journal	April 2020
Development of a simulation approach for laser powder bed fusion based on scanning strategy selection Foteinopoulos, Panagis; Papacharalampopoulos, Alexios; Angelopoulos, Konstantinos The International Journal of Advanced Manufacturing Technology, Vol. 108, Issue 9-10 https://doi.org/10.1007/s00170-020-05603-4	journal	June 2020
Hybrid subtractive–additive manufacturing processes for high value-added metal components Stavropoulos, Panagiotis; Bikas, Harry; Avram, Oliver The International Journal of Advanced Manufacturing Technology, Vol. 111, Issue 3-4 https://doi.org/10.1007/s00170-020-06099-8	journal	October 2020
Digital twin–driven aero-engine intelligent predictive maintenance Xiong, Minglan; Wang, Huawei; Fu, Qiang The International Journal of Advanced Manufacturing Technology, Vol. 114, Issue 11-12 https://doi.org/10.1007/s00170-021-06976-w	journal	April 2021
Complex product manufacturing and operation and maintenance integration based on digital twin Wang, Yunrui; Ren, Wenzhe; Li, Yan The International Journal of Advanced Manufacturing Technology, Vol. 117, Issue 1-2 https://doi.org/10.1007/s00170-021-07350-6	journal	July 2021
A digital twin ecosystem for additive manufacturing using a real-time development platform Pantelidakis, Minas; Mykoniatis, Konstantinos; Liu, Jia The International Journal of Advanced Manufacturing Technology, Vol. 120, Issue 9-10 https://doi.org/10.1007/s00170-022-09164-6	journal	April 2022
Additive manufacturing: a challenge to nuclear nonproliferation Cannon, Natalie; Biegalski, Steven; Erickson, Anna Journal of Radioanalytical and Nuclear Chemistry, Vol. 331, Issue 12 https://doi.org/10.1007/s10967-022-08599-1	journal	October 2022
Five-Axis Ultrasonic Additive Manufacturing for Nuclear Component Manufacture Hehr, Adam; Wenning, Justin; Terrani, Kurt JOM, Vol. 69, Issue 3 https://doi.org/10.1007/s11837-016-2205-6	journal	December 2016
Advanced Manufacturing for Nuclear Energy Lou, Xiaoyuan; Gandy, David JOM, Vol. 71, Issue 8 https://doi.org/10.1007/s11837-019-03607-4	journal	June 2019
Advanced Manufacturing of Printed Melt Wire Chips for Cheap, Compact Passive In-Pile Temperature Sensors Mondal, Kunal; Fujimoto, Kiyo; McMurtrey, Michael D. JOM, Vol. 72, Issue 12 https://doi.org/10.1007/s11837-020-04426-8	journal	October 2020
Development of underwater laser cutting technique for steel and zircaloy for nuclear applications Jain, R. K.; Agrawal, D. K.; Vishwakarma, S. C. Pramana, Vol. 75, Issue 6, p. 1253-1258 https://doi.org/10.1007/s12043-010-0214-5	journal	December 2010
The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0 Attaran, Mohsen; Attaran, Sharmin; Celik, Bilge Gokhan Advances in Computational Intelligence, Vol. 3, Issue 3 https://doi.org/10.1007/s43674-023-00058-y	journal	June 2023
A second report on diagrams of microstructure and hardness for heat-affected zones in welds Ion, J. C.; Easterling, K. E.; Ashby, M. F. Acta Metallurgica, Vol. 32, Issue 11 https://doi.org/10.1016/0001-6160(84)90176-7	journal	November 1984
An application of automated operating procedure synthesis in the nuclear industry Crooks, C. A.; Evans, S. F.; Macchietto, S. Computers & Chemical Engineering, Vol. 18 https://doi.org/10.1016/0098-1354(94)80063-4	journal	January 1994
Additive Manufacturing in the Nuclear Reactor Industry Betzler, Benjamin R. Encyclopedia of Nuclear Energy, p. 851-863 https://doi.org/10.1016/B978-0-12-819725-7.00106-9	book	January 2021
Regulatory and licensing challenges with Generation-IV nuclear energy systems Eom, Seyun; Riznic, Jovica; Nitheanandan, Thambiayah Handbook of Generation IV Nuclear Reactors https://doi.org/10.1016/B978-0-12-820588-4.00004-9	book	January 2023
Robotic process automation with increasing productivity and improving product quality using artificial intelligence and machine learning Rajawat, Anand Singh; Rawat, Romil; Barhanpurkar, Kanishk Artificial Intelligence for Future Generation Robotics https://doi.org/10.1016/B978-0-323-85498-6.00007-1	book	June 2021
Materials challenges for nuclear systems Allen, Todd; Busby, Jeremy; Meyer, Mitch Materials Today, Vol. 13, Issue 12 https://doi.org/10.1016/S1369-7021(10)70220-0	journal	December 2010
Risk of automated driving: Implications on safety acceptability and productivity Dixit, Vinayak; Xiong, Zhitao; Jian, Sisi Accident Analysis & Prevention, Vol. 125 https://doi.org/10.1016/j.aap.2019.02.005	journal	April 2019
Materials challenges in nuclear energy Zinkle, S. J.; Was, G. S. Acta Materialia, Vol. 61, Issue 3 https://doi.org/10.1016/j.actamat.2012.11.004	journal	February 2013
Building blocks for a digital twin of additive manufacturing Knapp, G. L.; Mukherjee, T.; Zuback, J. S. Acta Materialia, Vol. 135 https://doi.org/10.1016/j.actamat.2017.06.039	journal	August 2017
Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation Niu, Xiaojing; Qin, Shengfeng Advanced Engineering Informatics, Vol. 50 https://doi.org/10.1016/j.aei.2021.101422	journal	October 2021
Fault detection, identification and reconstruction of sensors in nuclear power plant with optimized PCA method Li, Wei; Peng, Minjun; Liu, Yongkuo Annals of Nuclear Energy, Vol. 113 https://doi.org/10.1016/j.anucene.2017.11.009	journal	March 2018
An overall safety concept for nuclear power plants Hyvärinen, Juhani; Vihavainen, Juhani; Ylönen, Marja Annals of Nuclear Energy, Vol. 178 https://doi.org/10.1016/j.anucene.2022.109353	journal	December 2022
Parameter identification and state estimation for nuclear reactor operation digital twin Gong, Helin; Zhu, Tao; Chen, Zhang Annals of Nuclear Energy, Vol. 180 https://doi.org/10.1016/j.anucene.2022.109497	journal	January 2023
Additive manufacturing for energy: A review Sun, Cheng; Wang, Yun; McMurtrey, Michael D. Applied Energy, Vol. 282 https://doi.org/10.1016/j.apenergy.2020.116041	journal	January 2021
Online autonomous calibration of digital twins using machine learning with application to nuclear power plants Song, Houde; Song, Meiqi; Liu, Xiaojing Applied Energy, Vol. 326 https://doi.org/10.1016/j.apenergy.2022.119995	journal	November 2022
A digital twin for rapid qualification of 3D printed metallic components Mukherjee, T.; DebRoy, T. Applied Materials Today, Vol. 14 https://doi.org/10.1016/j.apmt.2018.11.003	journal	March 2019
Location tracking and data visualization technology to advance construction ironworkers' education and training in safety and productivity Teizer, Jochen; Cheng, Tao; Fang, Yihai Automation in Construction, Vol. 35 https://doi.org/10.1016/j.autcon.2013.03.004	journal	November 2013
An investigation of quality in CO2 laser cutting of aluminum Stournaras, A.; Stavropoulos, P.; Salonitis, K. CIRP Journal of Manufacturing Science and Technology, Vol. 2, Issue 1 https://doi.org/10.1016/j.cirpj.2009.08.005	journal	January 2009
On thermal modeling of Additive Manufacturing processes Foteinopoulos, Panagis; Papacharalampopoulos, Alexios; Stavropoulos, Panagiotis CIRP Journal of Manufacturing Science and Technology, Vol. 20 https://doi.org/10.1016/j.cirpj.2017.09.007	journal	January 2018
Substantial capabilities of robotics in enhancing industry 4.0 implementation Javaid, Mohd; Haleem, Abid; Singh, Ravi Pratap Cognitive Robotics, Vol. 1 https://doi.org/10.1016/j.cogr.2021.06.001	journal	January 2021
Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry Mandolla, Claudio; Petruzzelli, Antonio Messeni; Percoco, Gianluca Computers in Industry, Vol. 109 https://doi.org/10.1016/j.compind.2019.04.011	journal	August 2019
Review of digital twin applications in manufacturing Cimino, Chiara; Negri, Elisa; Fumagalli, Luca Computers in Industry, Vol. 113 https://doi.org/10.1016/j.compind.2019.103130	journal	December 2019
A digital twin hierarchy for metal additive manufacturing Phua, A.; Davies, C. H. J.; Delaney, G. W. Computers in Industry, Vol. 140 https://doi.org/10.1016/j.compind.2022.103667	journal	September 2022
Additive manufacturing (3D printing): A review of materials, methods, applications and challenges Ngo, Tuan D.; Kashani, Alireza; Imbalzano, Gabriele Composites Part B: Engineering, Vol. 143 https://doi.org/10.1016/j.compositesb.2018.02.012	journal	June 2018
Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems Sleiti, Ahmad K.; Kapat, Jayanta S.; Vesely, Ladislav Energy Reports, Vol. 8 https://doi.org/10.1016/j.egyr.2022.02.305	journal	November 2022
Life cycle energy and greenhouse gas emissions of nuclear energy: A review Lenzen, Manfred Energy Conversion and Management, Vol. 49, Issue 8 https://doi.org/10.1016/j.enconman.2008.01.033	journal	August 2008
Low-carbon options for the French power sector: What role for renewables, nuclear energy and carbon capture and storage? Shirizadeh, Behrang; Quirion, Philippe Energy Economics, Vol. 95 https://doi.org/10.1016/j.eneco.2020.105004	journal	March 2021
Advanced materials for fusion technology Zinkle, Steven J. Fusion Engineering and Design, Vol. 74, Issue 1-4 https://doi.org/10.1016/j.fusengdes.2005.08.008	journal	November 2005
TechnoFusión, a relevant facility for fusion technologies: The remote handling area Ibarra, A.; Perlado, M.; Aracil, R. Fusion Engineering and Design, Vol. 85, Issue 7-9 https://doi.org/10.1016/j.fusengdes.2010.05.010	journal	December 2010
Fatigue analysis of spot welds using a mesh-insensitive structural stress approach Kang, H.; Dong, P.; Hong, J. International Journal of Fatigue, Vol. 29, Issue 8 https://doi.org/10.1016/j.ijfatigue.2006.10.025	journal	August 2007
State-of-the-art in heat exchanger additive manufacturing Kaur, Inderjot; Singh, Prashant International Journal of Heat and Mass Transfer, Vol. 178 https://doi.org/10.1016/j.ijheatmasstransfer.2021.121600	journal	October 2021
Addressing the challenges for the industrial application of additive manufacturing: Towards a hybrid solution Stavropoulos, Panagiotis; Foteinopoulos, Panagis; Papacharalampopoulos, Alexios International Journal of Lightweight Materials and Manufacture, Vol. 1, Issue 3 https://doi.org/10.1016/j.ijlmm.2018.07.002	journal	September 2018
Non-bar, an optical calibration system for five-axis CNC machine tools Jywe, Wenyuh; Hsu, Tung-Hui; Liu, C. -H. International Journal of Machine Tools and Manufacture, Vol. 59 https://doi.org/10.1016/j.ijmachtools.2012.01.004	journal	August 2012
Spark plasma sintered, MoNbTi-based multi-principal element alloys with Cr, V, and Zr Beausoleil, G. L.; Parry, M. E.; Mondal, K. Journal of Alloys and Compounds, Vol. 927 https://doi.org/10.1016/j.jallcom.2022.167083	journal	December 2022
Advanced manufacturing technologies for enhancing security in nuclear and radiological materials transport Mondal, Kunal; Karkkainen, Ryan; Martinez, Oscar International Journal of Advanced Nuclear Reactor Design and Technology, Vol. 5, Issue 3 https://doi.org/10.1016/j.jandt.2024.01.001	journal	September 2023
Additive manufacturing of ceramic materials for energy applications: Road map and opportunities Cramer, Corson L.; Ionescu, Emanuel; Graczyk-Zajac, Magdalena Journal of the European Ceramic Society, Vol. 42, Issue 7 https://doi.org/10.1016/j.jeurceramsoc.2022.01.058	journal	July 2022
Advanced manufacturing engineering Mamalis, A. G. Journal of Materials Processing Technology, Vol. 161, Issue 1-2 https://doi.org/10.1016/j.jmatprotec.2004.07.055	journal	April 2005
Vacuum laser welding of SA508 steel Francis, J. A.; Holtum, N.; Olschok, S. Journal of Materials Processing Technology, Vol. 274 https://doi.org/10.1016/j.jmatprotec.2019.116269	journal	December 2019
Review on residual stresses in metal additive manufacturing: formation mechanisms, parameter dependencies, prediction and control approaches Chen, Shu-guang; Gao, Han-jun; Zhang, Yi-du Journal of Materials Research and Technology, Vol. 17 https://doi.org/10.1016/j.jmrt.2022.02.054	journal	March 2022
Corrosion behavior of Al0.4CoCu0.6NiSi0.2Ti0.25 high-entropy alloy coating via 3D printing laser cladding in a sulphur environment Wan, Hongxia; Song, Dongdong; Shi, Xiaolei Journal of Materials Science & Technology, Vol. 60 https://doi.org/10.1016/j.jmst.2020.07.001	journal	January 2021
Hierarchical object-oriented model (HOOM) for additive manufacturing digital thread Bonnard, Renan; Hascoët, Jean-Yves; Mognol, Pascal Journal of Manufacturing Systems, Vol. 50 https://doi.org/10.1016/j.jmsy.2018.11.003	journal	January 2019
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems Liu, Chao; Le Roux, Léopold; Körner, Carolin Journal of Manufacturing Systems https://doi.org/10.1016/j.jmsy.2020.05.010	journal	May 2020
Review of digital twin about concepts, technologies, and industrial applications Liu, Mengnan; Fang, Shuiliang; Dong, Huiyue Journal of Manufacturing Systems, Vol. 58 https://doi.org/10.1016/j.jmsy.2020.06.017	journal	January 2021
Toward a smart wire arc additive manufacturing system: A review on current developments and a framework of digital twin Mu, Haochen; He, Fengyang; Yuan, Lei Journal of Manufacturing Systems, Vol. 67 https://doi.org/10.1016/j.jmsy.2023.01.012	journal	April 2023
Liquid metals for nuclear applications Gorse-Pomonti, Dominique; Russier, Vincent Journal of Non-Crystalline Solids, Vol. 353, Issue 32-40 https://doi.org/10.1016/j.jnoncrysol.2007.05.175	journal	October 2007
A review of refractory metal alloys and mechanically alloyed-oxide dispersion strengthened steels for space nuclear power systems El-Genk, Mohamed S.; Tournier, Jean-Michel Journal of Nuclear Materials, Vol. 340, Issue 1 https://doi.org/10.1016/j.jnucmat.2004.10.118	journal	April 2005
Critical questions in materials science and engineering for successful development of fusion power Bloom, E. E.; Busby, J. T.; Duty, C. E. Journal of Nuclear Materials, Vol. 367-370 https://doi.org/10.1016/j.jnucmat.2007.02.007	journal	August 2007
Adhesion property and high-temperature oxidation behavior of Cr-coated Zircaloy-4 cladding tube prepared by 3D laser coating Kim, Hyun-Gil; Kim, Il-Hyun; Jung, Yang-Il Journal of Nuclear Materials, Vol. 465 https://doi.org/10.1016/j.jnucmat.2015.06.030	journal	October 2015
Early progress on additive manufacturing of nuclear fuel materials Bergeron, A.; Crigger, J. B. Journal of Nuclear Materials, Vol. 508 https://doi.org/10.1016/j.jnucmat.2018.05.058	journal	September 2018
Materials for future nuclear energy systems Was, G. S.; Petti, D.; Ukai, S. Journal of Nuclear Materials, Vol. 527 https://doi.org/10.1016/j.jnucmat.2019.151837	journal	December 2019
Additive manufacturing of silicon carbide for nuclear applications Koyanagi, Takaaki; Terrani, Kurt; Harrison, Shay Journal of Nuclear Materials, Vol. 543 https://doi.org/10.1016/j.jnucmat.2020.152577	journal	January 2021
Design considerations for high entropy alloys in advanced nuclear applications Moschetti, Michael; Burr, Patrick A.; Obbard, Edward Journal of Nuclear Materials, Vol. 567 https://doi.org/10.1016/j.jnucmat.2022.153814	journal	August 2022
Numerical and experimental study of laser aided additive manufacturing for melt-pool profile and grain orientation analysis Song, Jie; Chew, Youxiang; Bi, Guijun Materials & Design, Vol. 137 https://doi.org/10.1016/j.matdes.2017.10.033	journal	January 2018
Directed energy deposition (DED) additive manufacturing: Physical characteristics, defects, challenges and applications Svetlizky, David; Das, Mitun; Zheng, Baolong Materials Today, Vol. 49 https://doi.org/10.1016/j.mattod.2021.03.020	journal	October 2021
Digital twin – Proof of concept Haag, Sebastian; Anderl, Reiner Manufacturing Letters, Vol. 15 https://doi.org/10.1016/j.mfglet.2018.02.006	journal	January 2018
A scalable digital platform for the use of digital twins in additive manufacturing Scime, Luke; Singh, Alka; Paquit, Vincent Manufacturing Letters, Vol. 31 https://doi.org/10.1016/j.mfglet.2021.05.007	journal	January 2022
A digital twin implementation architecture for wire + arc additive manufacturing based on ISO 23247 Bong Kim, Duck; Shao, Guodong; Jo, Guejong Manufacturing Letters, Vol. 34 https://doi.org/10.1016/j.mfglet.2022.08.008	journal	October 2022
Recent advances in the thermal barrier coatings for extreme environments Mondal, Kunal; Nuñez, Luis; Downey, Calvin M. Materials Science for Energy Technologies, Vol. 4 https://doi.org/10.1016/j.mset.2021.06.006	journal	January 2021
Present status of the functional advanced micro-, nano-printings – a mini review Mondal, K.; McMurtrey, M. D. Materials Today Chemistry, Vol. 17 https://doi.org/10.1016/j.mtchem.2020.100328	journal	September 2020
High-power fiber laser cutting parameter optimization for nuclear Decommissioning Lopez, Ana Beatriz; Assunção, Eurico; Quintino, Luisa Nuclear Engineering and Technology, Vol. 49, Issue 4 https://doi.org/10.1016/j.net.2017.02.004	journal	June 2017
A NEA review on innovative structural materials solutions, including advanced manufacturing processes for nuclear applications based on technology readiness assessment Balbaud, F.; Cabet, C.; Cornet, S. Nuclear Materials and Energy, Vol. 27 https://doi.org/10.1016/j.nme.2021.101006	journal	June 2021
Recent research and development status of laser cladding: A review Zhu, Lida; Xue, Pengsheng; Lan, Qing Optics & Laser Technology, Vol. 138 https://doi.org/10.1016/j.optlastec.2021.106915	journal	June 2021
A review of ground-based robotic systems for the characterization of nuclear environments Tsitsimpelis, Ioannis; Taylor, C. James; Lennox, Barry Progress in Nuclear Energy, Vol. 111 https://doi.org/10.1016/j.pnucene.2018.10.023	journal	March 2019
Off-site modular construction and design in nuclear power: A systematic literature review Wrigley, P. A.; Wood, P.; O'Neill, S. Progress in Nuclear Energy, Vol. 134 https://doi.org/10.1016/j.pnucene.2021.103664	journal	April 2021
Prospects for additive manufacturing of nuclear fuel forms Nelson, Andrew T. Progress in Nuclear Energy, Vol. 155 https://doi.org/10.1016/j.pnucene.2022.104493	journal	January 2023
Methodology for enabling Digital Twin using advanced physics-based modelling in predictive maintenance Aivaliotis, P.; Georgoulias, K.; Arkouli, Z. Procedia CIRP, Vol. 81 https://doi.org/10.1016/j.procir.2019.03.072	journal	January 2019
Concept of hybrid modeled digital twins and its application for an energy management of manufacturing systems Langlotz, Pascal; Klar, Matthias; Yi, Li Procedia CIRP, Vol. 112 https://doi.org/10.1016/j.procir.2022.09.098	journal	January 2022
Implementation of CAD/CAM System CATIA V5 in Simulation of CNC Machining Process Dubovska, Rozmarina; Jambor, Jaroslav; Majerik, Jozef Procedia Engineering, Vol. 69 https://doi.org/10.1016/j.proeng.2014.03.037	journal	January 2014
Guideline for Operational Nuclear Usability and Knowledge Elicitation (GONUKE) Boring, Ronald L.; Ulrich, Thomas A.; Joe, Jeffrey C. Procedia Manufacturing, Vol. 3 https://doi.org/10.1016/j.promfg.2015.07.287	journal	January 2015
Improving process safety: What roles for Digitalization and Industry 4.0? Lee, John; Cameron, Ian; Hassall, Maureen Process Safety and Environmental Protection, Vol. 132 https://doi.org/10.1016/j.psep.2019.10.021	journal	December 2019
A multi-bead overlapping model for robotic wire and arc additive manufacturing (WAAM) Ding, Donghong; Pan, Zengxi; Cuiuri, Dominic Robotics and Computer-Integrated Manufacturing, Vol. 31 https://doi.org/10.1016/j.rcim.2014.08.008	journal	February 2015
Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation Huang, Ziqi; Fey, Marcel; Liu, Chao Robotics and Computer-Integrated Manufacturing, Vol. 82 https://doi.org/10.1016/j.rcim.2023.102545	journal	August 2023
The criticality of four nuclear energy metals Harper, E. M.; Diao, Zhouwei; Panousi, Stefania Resources, Conservation and Recycling, Vol. 95 https://doi.org/10.1016/j.resconrec.2014.12.009	journal	February 2015
Advanced manufacturing technology adoption and innovation: A systematic literature review on barriers, enablers, and innovation types Stornelli, Aldo; Ozcan, Sercan; Simms, Christopher Research Policy, Vol. 50, Issue 6 https://doi.org/10.1016/j.respol.2021.104229	journal	July 2021
Building digital twins of 3D printing machines DebRoy, T.; Zhang, W.; Turner, J. Scripta Materialia, Vol. 135 https://doi.org/10.1016/j.scriptamat.2016.12.005	journal	July 2017
Recent trends of digital twin technologies in the energy sector: A comprehensive review Ghenai, Chaouki; Husein, Lama Alhaj; Al Nahlawi, Marwa Sustainable Energy Technologies and Assessments, Vol. 54 https://doi.org/10.1016/j.seta.2022.102837	journal	December 2022
Nanoindentation behavior of a two-dimensional carbon-carbon composite for nuclear applications Kanari, M.; Tanaka, K.; Baba, S. Carbon, Vol. 35, Issue 10-11 https://doi.org/10.1016/s0008-6223(97)00042-0	journal	January 1997
Digital image analysis of X-ray and neutron radiography for the inspection and the monitoring of nuclear materials Casalta, S.; Daquino, G. G.; Metten, L. NDT & E International, Vol. 36, Issue 5 https://doi.org/10.1016/s0963-8695(03)00008-2	journal	July 2003
Numerical analysis of the weldability of superalloys Dye, D.; Hunziker, O.; Reed, R. C. Acta Materialia, Vol. 49, Issue 4 https://doi.org/10.1016/s1359-6454(00)00361-x	journal	February 2001
Thermal Barrier Coatings Overview: Design, Manufacturing, and Applications in High-Temperature Industries Mondal, Kunal; Nuñez, Luis; Downey, Calvin M. Industrial & Engineering Chemistry Research, Vol. 60, Issue 17 https://doi.org/10.1021/acs.iecr.1c00788	journal	April 2021
Additive Manufacturing of Multimaterial Composites for Radiation Shielding and Thermal Management Beck, Devon; Bickus, Jacob; Klein, Ethan ACS Applied Materials & Interfaces, Vol. 15, Issue 29 https://doi.org/10.1021/acsami.2c22478	journal	June 2023
Application of a Laser Cutter to Pattern Wrinkles on Polymer Films Mondal, Kunal; Liu, Ying; Shay, Tim ACS Applied Polymer Materials, Vol. 2, Issue 5 https://doi.org/10.1021/acsapm.0c00061	journal	April 2020
Bringing nuclear materials discovery and qualification into the 21st century Aguiar, Jeffery A.; Jokisaari, Andrea M.; Kerr, Matthew Nature Communications, Vol. 11, Issue 1 https://doi.org/10.1038/s41467-020-16406-2	journal	May 2020
Trust in automation: Part I. Theoretical issues in the study of trust and human intervention in automated systems Muir, Bonnie M. Ergonomics, Vol. 37, Issue 11 https://doi.org/10.1080/00140139408964957	journal	November 1994
Laser cutting of thick steel plates and simulated steel components using a 30 kW fiber laser Tamura, Koji; Ishigami, Ryoya; Yamagishi, Ryuichiro Journal of Nuclear Science and Technology, Vol. 53, Issue 6 https://doi.org/10.1080/00223131.2015.1080633	journal	August 2015
Data-Enabled Physics-Informed Machine Learning for Reduced-Order Modeling Digital Twin: Application to Nuclear Reactor Physics Gong, Helin; Cheng, Sibo; Chen, Zhang Nuclear Science and Engineering, Vol. 196, Issue 6 https://doi.org/10.1080/00295639.2021.2014752	journal	February 2022
STEP-NC digital thread for additive manufacturing: data model, implementation and validation Bonnard, Renan; Hascoët, Jean-Yves; Mognol, Pascal International Journal of Computer Integrated Manufacturing, Vol. 31, Issue 11 https://doi.org/10.1080/0951192X.2018.1509130	journal	August 2018
Data model for additive manufacturing digital thread: state of the art and perspectives Bonnard, Renan; Hascoët, Jean-Yves; Mognol, Pascal International Journal of Computer Integrated Manufacturing, Vol. 32, Issue 12 https://doi.org/10.1080/0951192X.2019.1690681	journal	November 2019
A study on elimination of failures resulting from layering and internal stresses in Powder Bed Fusion (PBF) additive manufacturing Kayacan, Mevlüt Yunus; Özsoy, Koray; Duman, Burhan Materials and Manufacturing Processes, Vol. 34, Issue 13 https://doi.org/10.1080/10426914.2019.1655151	journal	August 2019
Laser Cutting Schuocker, D. Materials and Manufacturing Processes, Vol. 4, Issue 3 https://doi.org/10.1080/10426918908956297	journal	January 1989
The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task Kaber, David B.; Endsley, Mica R. Theoretical Issues in Ergonomics Science, Vol. 5, Issue 2 https://doi.org/10.1080/1463922021000054335	journal	March 2004
Concept of instrumentation of digital twins of nuclear power plants units as observers for digital NPP I&C system Volodin, V. S.; Tolokonskii, A. O. Journal of Physics: Conference Series, Vol. 1391, Issue 1 https://doi.org/10.1088/1742-6596/1391/1/012083	journal	November 2019
On the digital twin application and the role of artificial intelligence in additive manufacturing: a systematic review Bartsch, Katharina; Pettke, Alexander; Hübert, Artur Journal of Physics: Materials, Vol. 4, Issue 3 https://doi.org/10.1088/2515-7639/abf3cf	journal	April 2021
The case for digital twins in metal additive manufacturing Gunasegaram, D. R.; Murphy, A. B.; Matthews, M. J. Journal of Physics: Materials, Vol. 4, Issue 4 https://doi.org/10.1088/2515-7639/ac09fb	journal	June 2021
Nuclear Materials Science Whittle, Karl https://doi.org/10.1088/978-0-7503-1104-5	book	June 2016
Design and System Considerations for Construction-Scale Concrete Additive Manufacturing in Remote Environments via Robotic Arm Deposition Meisel, Nicholas A.; Watson, Nathan; Bilén, Sven G. 3D Printing and Additive Manufacturing, Vol. 9, Issue 1 https://doi.org/10.1089/3dp.2020.0335	journal	February 2022
Digital Twin: Enabling Technologies, Challenges and Open Research Fuller, Aidan; Fan, Zhong; Day, Charles IEEE Access, Vol. 8 https://doi.org/10.1109/ACCESS.2020.2998358	journal	January 2020
Exploiting the Digital Twin in the Assessment and Optimization of Sustainability Performances Barni, Andrea; Fontana, Alessandro; Menato, Silvia 2018 International Conference on Intelligent Systems (IS) https://doi.org/10.1109/IS.2018.8710554	conference	September 2018
Aspects of Nuclear Power Plant Digital Decommissioning Jharko, Elena; Meshcheryakov, Roman; Promyslov, Vitaly 2021 International Siberian Conference on Control and Communications (SIBCON) https://doi.org/10.1109/SIBCON50419.2021.9438885	conference	May 2021
Application of Multidirectional Robotic Wire Arc Additive Manufacturing Process for the Fabrication of Complex Metallic Parts Yuan, Lei; Ding, Donghong; Pan, Zengxi IEEE Transactions on Industrial Informatics, Vol. 16, Issue 1 https://doi.org/10.1109/TII.2019.2935233	journal	January 2020
Study on Composite Material for Shielding Mixed Neutron and $\gamma$-Rays Hu, Huasi; Wang, Qunshu; Qin, Juan IEEE Transactions on Nuclear Science, Vol. 55, Issue 4 https://doi.org/10.1109/TNS.2008.2000800	journal	August 2008
A Unified Approach to Digital Twin Architecture—Proof-of-Concept Activity in the Nuclear Sector Bowman, David; Dwyer, Lynn; Levers, Andrew IEEE Access, Vol. 10 https://doi.org/10.1109/access.2022.3161626	journal	January 2022
Teleoperation of a robot manipulator using a vision-based human-robot interface Kofman, J.; Luu, T. J. IEEE Transactions on Industrial Electronics, Vol. 52, Issue 5 https://doi.org/10.1109/tie.2005.855696	journal	October 2005
Digital Twin in Industry: State-of-the-Art Tao, Fei; Zhang, He; Liu, Ang IEEE Transactions on Industrial Informatics, Vol. 15, Issue 4 https://doi.org/10.1109/tii.2018.2873186	journal	April 2019
Remote Handling and Accelerators Wilson, Mahlon T. IEEE Transactions on Nuclear Science, Vol. 30, Issue 4 https://doi.org/10.1109/tns.1983.4332741	journal	August 1983
Additive Manufacturing: Current State, Future Potential, Gaps and Needs, and Recommendations Huang, Yong; Leu, Ming C.; Mazumder, Jyoti Journal of Manufacturing Science and Engineering, Vol. 137, Issue 1 https://doi.org/10.1115/1.4028725	journal	February 2015
A Review of Intent Detection, Arbitration, and Communication Aspects of Shared Control for Physical Human–Robot Interaction Losey, Dylan P.; McDonald, Craig G.; Battaglia, Edoardo Applied Mechanics Reviews, Vol. 70, Issue 1 https://doi.org/10.1115/1.4039145	journal	January 2018
Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook Arinez, Jorge F.; Chang, Qing; Gao, Robert X. Journal of Manufacturing Science and Engineering, Vol. 142, Issue 11 https://doi.org/10.1115/1.4047855	journal	August 2020
Advanced Welding Manufacturing: A Brief Analysis and Review of Challenges and Solutions Zhang, Yu Ming; Yang, Yu-Ping; Zhang, Wei Journal of Manufacturing Science and Engineering, Vol. 142, Issue 11 https://doi.org/10.1115/1.4047947	journal	September 2020
Digital Twin to Detect Nuclear Proliferation: A Case Study Ritter, Christopher; Hays, Ross; Browning, Jeren Journal of Energy Resources Technology, Vol. 144, Issue 10 https://doi.org/10.1115/1.4053979	journal	March 2022
Qualification Challenges for Additive Manufacturing in High Temperature Nuclear Applications McMurtrey, Michael; Messner, Mark Volume 4: Materials and Fabrication https://doi.org/10.1115/PVP2021-62331	conference	July 2021
Reengineering Aircraft Structural Life Prediction Using a Digital Twin Tuegel, Eric J.; Ingraffea, Anthony R.; Eason, Thomas G. International Journal of Aerospace Engineering, Vol. 2011 https://doi.org/10.1155/2011/154798	journal	January 2011
A Survey on Zero Trust Architecture: Challenges and Future Trends He, Yuanhang; Huang, Daochao; Chen, Lei Wireless Communications and Mobile Computing, Vol. 2022 https://doi.org/10.1155/2022/6476274	journal	June 2022
Development of radiation resistant materials for advanced nuclear power plant Little, E. A. Materials Science and Technology, Vol. 22, Issue 5, p. 491-518 https://doi.org/10.1179/174328406X90998	journal	May 2006
Integrated computational model to predict mechanical behaviour of spot weld Yang, Y. P.; Babu, S. S.; Orth, F. Science and Technology of Welding and Joining, Vol. 13, Issue 3 https://doi.org/10.1179/174329308x283901	journal	April 2008
Correlation between solidification parameters and weld microstructures David, S. A.; Vitek, J. M. International Materials Reviews, Vol. 34, Issue 1 https://doi.org/10.1179/imr.1989.34.1.213	journal	January 1989
How to tell the difference between a model and a digital twin Wright, Louise; Davidson, Stuart Advanced Modeling and Simulation in Engineering Sciences, Vol. 7, Issue 1 https://doi.org/10.1186/s40323-020-00147-4	journal	March 2020
Effect of process parameters on the kerf width during the laser cutting process Yilbas, B. S. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 215, Issue 10 https://doi.org/10.1243/0954405011519132	journal	October 2001
Digital twin-driven intelligent maintenance decision-making system and key-enabling technologies for nuclear power equipment xu, qingfeng; zhou, guanghui; zhang, chao Digital Twin, Vol. 2 https://doi.org/10.12688/digitaltwin.17695.1	journal	September 2022
Technical Challenges and Gaps in Integration of Advanced Sensors, Instrumentation, and Communication Technologies with Digital Twins for Nuclear Application Yadav, Vaibhav; Agarwal, Vivek; Jain, Prashant 13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023) https://doi.org/10.13182/NPICHMIT23-41192	conference	January 2023
Handbook of laser welding technologies Katayama, Seiji https://doi.org/10.1533/9780857098771	book	January 2013
Additive manufacturing of materials: Opportunities and challenges Babu, S. S.; Love, L.; Dehoff, R. MRS Bulletin, Vol. 40, Issue 12 https://doi.org/10.1557/mrs.2015.234	journal	November 2015
Challenges in Materials Research for Sustainable Nuclear Energy Raj, Baldev; Vijayalakshmi, M.; Rao, P. R. Vasudeva MRS Bulletin, Vol. 33, Issue 4 https://doi.org/10.1557/mrs2008.67	journal	April 2008
Graphite, Ceramics, and Ceramic Composites for High-Temperature Nuclear Power Systems Bonal, Jean-Pierre; Kohyama, Akira; van der Laan, Jaap MRS Bulletin, Vol. 34, Issue 1 https://doi.org/10.1557/mrs2009.9	journal	January 2009
Utility of Big Area Additive Manufacturing (BAAM) For The Rapid Manufacture of Customized Electric Vehicles Love, Lonnie https://doi.org/10.2172/1209199	report	August 2015
Considerations for Application of Additive Manufacturing to Nuclear Reactor Core Components Simpson, Joseph; Haley, James; Cramer, Corson https://doi.org/10.2172/1564201	report	May 2019
Advanced Manufacturing for Nuclear Core Design Betzler, Benjamin R.; Ade, Brian J.; Wysocki, Aaron https://doi.org/10.2172/1658005	report	August 2019
Diagnostic and predictive capabilities of the TCR digital platform Scime, Luke; Sprayberry, Michael; Collins, David https://doi.org/10.2172/1831630	report	September 2021
Predictive Models for Ceramic Additive Manufacturing Haslam, Jeff; Kelly, James Patrick; Harris, Randy https://doi.org/10.2172/1863168	report	April 2022
Automation in the Prefab and Modular Construction Industry Neelamkavil, Joseph Proceedings of the 2009 International Symposium on Automation and Robotics in Construction (ISARC 2009) https://doi.org/10.22260/ISARC2009/0018	conference	June 2009
Multimodal immersive digital twin platform for cyber-physical robot fleets in nuclear environments Baniqued, Paul Dominick; Bremner, Paul; Sandisson, Melissa https://doi.org/10.22541/au.169046495.53097561/v1	preprint	February 2024
Narrow gap laser welding for potential nuclear pressure vessel manufacture Feng, Jiecai; Guo, Wei; Francis, John Journal of Laser Applications, Vol. 28, Issue 2 https://doi.org/10.2351/1.4943905	journal	March 2016
The Airframe Digital Twin: Some Challenges to Realization Tuegel, Eric 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA https://doi.org/10.2514/6.2012-1812	conference	April 2012
Challenges with Structural Life Forecasting Using Realistic Mission Profiles Gockel, Brian; Tudor, Andrew; Brandyberry, Mark 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA https://doi.org/10.2514/6.2012-1813	conference	April 2012
Out of Bounds Additive Manufacturing Holshouser, Christopher; Newell, Clint; Palas, Sid AM&P Technical Articles, Vol. 171, Issue 3 https://doi.org/10.31399/asm.amp.2013-03.p015	journal	March 2013
Neutron Characterization for Additive Manufacturing Watkins, Thomas; Bilheux, Hassina; An, Ke AM&P Technical Articles, Vol. 171, Issue 3 https://doi.org/10.31399/asm.amp.2013-03.p023	journal	March 2013
Digital Twins for Additive Manufacturing: A State-of-the-Art Review Zhang, Li; Chen, Xiaoqi; Zhou, Wei Applied Sciences, Vol. 10, Issue 23 https://doi.org/10.3390/app10238350	journal	November 2020
Applications of Digital Twin across Industries: A Review Singh, Maulshree; Srivastava, Rupal; Fuenmayor, Evert Applied Sciences, Vol. 12, Issue 11 https://doi.org/10.3390/app12115727	journal	June 2022
Digital Twin: Origin to Future Singh, Maulshree; Fuenmayor, Evert; Hinchy, Eoin Applied System Innovation, Vol. 4, Issue 2 https://doi.org/10.3390/asi4020036	journal	May 2021
Recent Advances in Protective Coatings for Accident Tolerant Zr-Based Fuel Claddings Kashkarov, Egor; Afornu, Bright; Sidelev, Dmitrii Coatings, Vol. 11, Issue 5 https://doi.org/10.3390/coatings11050557	journal	May 2021
A Review of the Latest Developments in the Field of Additive Manufacturing Techniques for Nuclear Reactors Li, Hui; Fu, Xiaolong; Zhang, Liping Crystals, Vol. 12, Issue 7 https://doi.org/10.3390/cryst12070918	journal	June 2022
High-Entropy Alloys for Advanced Nuclear Applications Pickering, Ed J.; Carruthers, Alexander W.; Barron, Paul J. Entropy, Vol. 23, Issue 1 https://doi.org/10.3390/e23010098	journal	January 2021
Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector Borowski, Piotr Energies, Vol. 14, Issue 7 https://doi.org/10.3390/en14071885	journal	March 2021
Digital Twin Concepts with Uncertainty for Nuclear Power Applications Kochunas, Brendan; Huan, Xun Energies, Vol. 14, Issue 14 https://doi.org/10.3390/en14144235	journal	July 2021
A Review on Advanced Manufacturing for Hydrogen Storage Applications Free, Zach; Hernandez, Maya; Mashal, Mustafa Energies, Vol. 14, Issue 24 https://doi.org/10.3390/en14248513	journal	December 2021
Preparation of Smart Materials by Additive Manufacturing Technologies: A Review Mondal, Kunal; Tripathy, Prabhat Kumar Materials, Vol. 14, Issue 21 https://doi.org/10.3390/ma14216442	journal	October 2021
A Suite of Robotic Solutions for Nuclear Waste Decommissioning Vitanov, Ivan; Farkhatdinov, Ildar; Denoun, Brice Robotics, Vol. 10, Issue 4 https://doi.org/10.3390/robotics10040112	journal	October 2021
Development of Advanced Coatings for ITER and Future Fusion Devices Matějíček, Jiří; Chráska, Pavel Advances in Science and Technology https://doi.org/10.4028/www.scientific.net/AST.66.47	conference	October 2010
The Development of Large High Efficient CNC Gantry Grinder for Vessel Head in Nuclear Power Huang, Yun; Huang, Zhi; Zhang, Wei Wen Key Engineering Materials, Vol. 416 https://doi.org/10.4028/www.scientific.net/KEM.416.421	journal	September 2009
A Framework for Collaborative Robot (CoBot) Integration in Advanced Manufacturing Systems Djuric, Ana M.; Urbanic, R. J.; Rickli, J. L. SAE International Journal of Materials and Manufacturing, Vol. 9, Issue 2 https://doi.org/10.4271/2016-01-0337	journal	April 2016
Nuclear Energy and Global Governance Findlay, Trevor https://doi.org/10.4324/9780203834503	book	November 2010
Effectiveness of cnc Turning and cnc Milling in Machining Process Rahmatullah, Rahmatullah; Amiruddin, Arfis; Lubis, Sudirman International Journal of Economic, Technology and Social Sciences (Injects), Vol. 2, Issue 2 https://doi.org/10.53695/injects.v2i2.610	journal	October 2021
A Review on Advanced Manufacturing Techniques and Their Applications J. Patel, Anand; A. Kilic, Gülenay Computational Optimization Techniques and Applications https://doi.org/10.5772/intechopen.97702	book	July 2021

Similar Records

Digital Twins for Nuclear Power Plants and Facilities

Book · Tue Feb 28 23:00:00 EST 2023 · OSTI ID:1999100

Digital Twin Enabling Technologies for Online Condition Monitoring of Nuclear Power Plant Components

Conference · Mon Jun 17 00:00:00 EDT 2024 · OSTI ID:2370151

Evaluation of Digital Twin Modeling and Simulation

Technical Report · Sun Oct 01 00:00:00 EDT 2023 · OSTI ID:2430250

Related Subjects

36 MATERIALS SCIENCE
additive manufacturing
advanced manufacturing
automation
cost-effectiveness
digital twin technology
nuclear energy
robotics

Advanced manufacturing and digital twin technology for nuclear energy*

Citation Formats

References (181)

Similar Records

Related Subjects