Development of Monitoring Techniques for Binderjet Additive Manufacturing of Silicon Carbide Structures

Scime, Luke; Haley, James; Halsey, William; Singh, Alka; Sprayberry, Michael; Ziabari, Amirkoushyar; Paquit, Vincent

doi:10.2172/1671401

Cited by 6 publications

(5 citation statements)

References 5 publications

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“…These components include nuclear cores, turbine blades, heat exchangers, and fuel assemblies (Watkins et al, 2013;Terrani et al, 2015;Hehr et al, 2017;Betzler et al, 2019;Betzler et al, 2019;Simpson et al, 2019). Figure 5 shows an example of additive manufacturing for nuclear applications; the components were printed at Oak Ridge National Laboratory (ORNL), which operates under the US Department of Energy (Jackson et al, 2016;Scime et al, 2020;Scime et al, 2021). These components were produced using AM, allowing the creation of complicated designs with features such as tube wall cooling channels and irregular geometry that flawlessly align with the specific necessities of the design, showcasing the outstanding versatility and precision of this technology.…”

Section: Frontiers In Energy Researchmentioning

confidence: 99%

Advanced manufacturing and digital twin technology for nuclear energy*

Mondal,

Martinez,

Jain

2024

Front. Energy Res.

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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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Section: Frontiers In Energy Researchmentioning

confidence: 99%

Advanced manufacturing and digital twin technology for nuclear energy*

Mondal,

Martinez,

Jain

2024

Front. Energy Res.

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“…The binder jetting manufacturing process is done in five steps: (1) each layer is configured with a specific set of process parameters; (2) a rolling mechanism covers the build plate with a layer of powder; (3) the binder deposition process operates similarly to the ink jet printing process: the print head moves in a predefined pattern over the build plate, depositing binder only where needed; (4) a radiative heating element scans the build plate to dry the binder; (5) once the layer completes, the stage supporting the build plate lowers to the desired layer thickness (typically 50 to 200 µm), and the process repeats until completion of the geometry [13].…”

Section: Binder Jetmentioning

confidence: 99%

Digital Platform Informed Certification of Components Derived from Advanced Manufacturing Technologies

Huning

Fair

Coates

et al. 2021

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The Transformational Challenge Reactor is being designed at Oak Ridge National Laboratory to demonstrate the feasibility of constructing a reactor core using advanced manufacturing technology. This technology includes additive manufacturing combined with machine learning, materials science, and data science technologies in an effort to facilitate the expansion of additive manufacturing into advanced nuclear energy systems and other applications requiring a high level of quality assurance. The Transformational Challenge Reactor is employing additive manufacturing and artificial intelligence to deliver a new approach. Beginning in FY21, the focus of the program has shifted away from demonstrating a reactor, and instead, towards delivering on four key thrust areas: (1) artificial intelligence-informed design, (2) advanced materials, (3) integrated sensing and control, and (4) the digital platform. Of these four thrust areas, the most pertinent to this report is the digital platform. The digital platform has the potential to be a key enabler for a paradigm shift in how components, those derived from advanced manufacturing technologies, are certified for use in nuclear applications. This is achieved primarily using machine learning to discover correlations from the abundance of data produced through additive manufacturing and those physical properties critical to the performance of the component.A proposed approach towards the certification of advanced manufacturing technology-derived components using the digital platform is presented. This approach has similarities to and builds on those industry initiatives already in progress to qualify advanced manufacturing technology-derived components. However, aspects of where data and the digital platform can integrate with, are especially highlighted. This proposed approach is: a. generic (can be applicable to any advanced manufacturing technology, any supported material, and any application which may have a strong safety significance), b. flexible (can be scaled to large programs with a variety of advanced manufacturing technologyderived component applications, or small programs that have only a few, but clearly defined desired applications), c. complementary to existing industry approaches under development (those being developed by the U.S. Nuclear Regulatory Commission and other industry trade groups), and, d. performance-based (allows for operational feedback and building confidence in the digital platform).To envelop these attributes, a simple demonstration has been designed to employ the digital platform for component scale performance predictions. Results from this demonstration are expected around the time of publishing this report and therefore, will be presented in a follow-up report.The digital platform has the potential to transform how concepts of equivalency and expected component performance are measured. Currently, there is no discussion or pathway for using the data and artificial intelligence embedded within the digital platform to demonstrate equivalency ...

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“…The difference is that binder jetting uses binder to glue the powders together, but LPBF utilizes laser beam to sinter materials 18 . Both binder jetting 18‐22 and LPBF 23–25 have been applied to fabricate SiC ceramic parts with complex architectures in previous reports. Zocca et al 20 .…”

Section: Introductionmentioning

confidence: 99%

“…The difference is that binder jetting uses binder to glue the powders together, but LPBF utilizes laser beam to sinter materials. 18 Both binder jetting [18][19][20][21][22] and LPBF [23][24][25] have been applied to fabricate SiC ceramic parts with complex architectures in previous reports. Zocca et al 20 presented a new AM method to manufacture SiSiC complex parts with features down to 1 mm based on the combination of layerwise slurry deposition and binder jetting process.…”

Section: Introductionmentioning

confidence: 99%

Performance optimization of Si/SiC ceramic triply periodic minimal surface structures via laser powder bed fusion

Yang

Chen

et al. 2023

J Am Ceram Soc.

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SiC ceramic lattice structures (CLSs) via additive manufacturing (AM) have been recognized as potential candidates in engineering fields owing to their various merits. Compared with traditional SiC CLSs, SiC triply periodic minimal surface (TPMS) CLSs could possess more outstanding properties, making them more promising for wider applications. Since SiC CLSs are hard to be fabricated through stereolithography technique because of inferior light performance, the LPBF process via selectively sintering is an effective method to prepare near‐net shape SiC TPMS lattices. As the mechanical performances of lattice structures are the foundation for future practical applications, it is of great significance to optimize the preparation process, thus improving the mechanical properties of SiC TPMS structures. In this work, the optimal printing parameters of the LPBF and liquid silicon infiltration process for SiC ceramic TPMS CLSs with three different volume fractions were systematically illustrated and analyzed. The effect of the printing parameters and carbon densities on the fabrication accuracy, microstructure, and mechanical performance of SiC TPMS CLSs were defined. The mechanism of the reactive sintering process for the SiC TPMS lattice structure was revealed. The results reveal that Si/SiC TPMS CLSs with optimum preparation have superior manufacturing accuracy (most less than 6%), relatively high bulk densities (about 2.75g/cm3), low residual Si content (6.01%), and excellent mechanical properties (5.67 MPa, 15.4 MPa, and 44.0 MPa for Si/SiC TPMS CLSs with 25%, 40%, and 55% volume fractions).This article is protected by copyright. All rights reserved

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Development of Monitoring Techniques for Binderjet Additive Manufacturing of Silicon Carbide Structures

Cited by 6 publications

References 5 publications

Advanced manufacturing and digital twin technology for nuclear energy*

Advanced manufacturing and digital twin technology for nuclear energy*

Digital Platform Informed Certification of Components Derived from Advanced Manufacturing Technologies

Performance optimization of Si/SiC ceramic triply periodic minimal surface structures via laser powder bed fusion

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