Skip to main navigation Skip to search Skip to main content

Development of a coupled experimental–computational approach for engineering optimization of spout-fluidized bed particle coating systems

Research output: Contribution to journalArticlepeer-review

Abstract

The design of spout-fluidized bed (SFB) coating systems for nuclear particle fuels typically relies on trial-and-error processes, comprising iterative and time-consuming coating deposition experiments and post-deposition characterization. At an engineering scale, this approach to guided SFB system design is inefficient, highlighting the need for streamlined experimental methodologies which can correlate fluidization conditions to downstream coating outcomes. In this study, we combine time-resolved particle image velocimetry (PIV) with CFD–DEM simulations to benchmark hydrodynamic behavior in a 3D spout-fluidized bed. By exploiting easily accessible optical measurements of particle motion at the bed wall and within the spouting region, we obtain quantitative velocity fields that can be directly compared with model predictions of the occluded bed region, without resorting to complex imaging and characterization techniques such as X-ray or magnetic resonance tomography. Experimental benchmarking reveals strong agreement between CFD–DEM and PIV in the spout and annulus regions, while discrepancies near the wall highlight areas for future model development. The proposed integrated experimental–numerical framework will enable a direct connection between measured variables and numerically predicted fluidization performance of dense, surrogate nuclear particle fuel feedstock such that experimental SFB component design can be rapidly evaluated, informing design decisions for nozzle geometry and operating conditions. Future work will extend this framework by correlating quantified fluidization metrics across nozzle geometries and operating conditions with the resulting coating morphology, microstructure, and uniformity. Establishing these correlations will enable predictive links between hydrodynamic performance and coating quality, providing a rational, scalable basis for optimizing SFB design prior to coating deposition.

Original languageEnglish
Article number115009
JournalNuclear Engineering and Design
Volume456
DOIs
StatePublished - Sep 2026

Funding

This research was sponsored by the US Department of Energy Office of Nuclear Energy’s Advanced Reactor Demonstration Program under contract DE-AC05-00OR22725 with UT-Battelle LLC and the cooperative research and development agreement project , NFE-21-08656 , with BWXT Advanced Technologies LLC. This research used resources of the Compute Data Environment for Science (CADES) at Oak Ridge National Laboratory, which is supported by the Office of Science of the US Department of Energy. Nirajan Adhikari and Nate See of Oak Ridge National Laboratory provided helpful reviews of the manuscript. Notice: This manuscript has been authored by UT-Battelle LLC under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).

Keywords

  • CFD/DEM
  • Coated particle fuel
  • Hydrodynamics
  • Particle image velocimetry
  • Spout-fluidized beds

Fingerprint

Dive into the research topics of 'Development of a coupled experimental–computational approach for engineering optimization of spout-fluidized bed particle coating systems'. Together they form a unique fingerprint.

Cite this