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Generative model explores tungsten microstructure under fusion conditions
A comparison of real SEM tungsten microstructures (left column) with machine learning–generated synthetic microstructures (right) for different values of the model setting parameters. Adjusting the model setting controls how diverse or sharp the synthetic microstructures appear. (Image: ORNL, DOE)
Researchers have developed a model to generate images that serve as synthetic data close-ups of tungsten surfaces under fusion reactor conditions.
Tungsten is a top-choice material for plasma-facing components (PFCs) in fusion machines, so understanding tungsten’s performance is critical to the safety and longevity of component designs.
Horst-Michael Prasser, Gerhard Grunwald, Thomas Höhne, Sören Kliem, Ulrich Rohde, Frank-Peter Weiss
Nuclear Technology | Volume 143 | Number 1 | July 2003 | Pages 37-56
Technical Paper | Thermal Hydraulics | doi.org/10.13182/NT03-A3396
Articles are hosted by Taylor and Francis Online.
The reactor transient caused by a perturbation of boron concentration or coolant temperature at the inlet of a pressurized water reactor (PWR) depends on the mixing inside the reactor pressure vessel (RPV). Initial steep gradients are partially lessened by turbulent mixing with coolant from the unaffected loops and with the water inventory of the RPV. Nevertheless the assumption of an ideal mixing in the downcomer and the lower plenum of the reactor leads to unrealistically small reactivity inserts. The uncertainties between ideal mixing and total absence of mixing are too large to be acceptable for safety analyses. In reality, a partial mixing takes place. For realistic predictions it is necessary to study the mixing within the three-dimensional flow field in the complicated geometry of a PWR. For this purpose a 1:5 scaled model [the Rossendorf Coolant Mixing Model (ROCOM) facility] of the German PWR KONVOI was built. Compared to other experiments, the emphasis was put on extensive measuring instrumentation and a maximum of flexibility of the facility to cover as much as possible different test scenarios. The use of special electrode-mesh sensors together with a salt tracer technique provided distributions of the disturbance within downcomer and core entrance with a high resolution in space and time. Especially, the instrumentation of the downcomer gained valuable information about the mixing phenomena in detail. The obtained data were used to support code development and validation. Scenarios investigated are the following: (a) steady-state flow in multiple coolant loops with a temperature or boron concentration perturbation in one of the running loops, (b) transient flow situations with flow rates changing with time in one or more loops, such as pump startup scenarios with deborated slugs in one of the loops or onset of natural circulation after boiling-condenser-mode operation, and (c) gravity-driven flow caused by large density gradients, e.g., mixing of cold emergency core cooling (ECC) water entering the RPV through the ECC injection into the cold leg. The experimental results show an incomplete mixing with typical concentration and temperature distributions at the core inlet, which strongly depend on the boundary conditions. Computational fluid dynamics calculations were found to be in good agreement with the experiments.