Engineering PapersSearch

DOE OSTI · 3685167

Diffusivity-Free Turbulence in Liquid Metal Rotating Rayleigh-Bénard Convection Experiments

Abstract

The source did not provide an abstract. Follow the original record for more information.

Keep this discovery

BibTeXRIS

Abbate, Jewel A. [University of California Los Angeles] (ORCID:000000017198739X), Xu, Yufan [Princeton Plasma Physics Laboratory, Princeton University; University of California Los Angeles] (ORCID:000000019123124X), Vogt, Tobias [Helmholtz-Zentrum Dresden-Rossendorf], Horn, Susanne [Coventry University] (ORCID:0000000279453250), Julien, Keith [University of Colorado], Aurnou, Jonathan M. [University of California Los Angeles]. 2026-06-24. Diffusivity-Free Turbulence in Liquid Metal Rotating Rayleigh-Bénard Convection Experiments. https://doi.org/10.1103/pc8y-j7g8

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov-Arnold networks

We propose the artificial intelligence velocimetry-thermometry (AIVT) method to reconstruct a continuous and differentiable representation of the temperature and velocity in turbulent convection from measured three-dimensional (3D) velocity data. AIVT is based on physics-informed Kolmogorov-Arnold networks and trained by optimizing a loss function that minimizes residuals of the velocity data, boundary conditions, and governing equations. We apply AIVT to a set of simultaneously measured 3D temperature and velocity data of Rayleigh-Bénard convection, obtained by combining particle image thermometry and Lagrangian particle tracking. This enables us to directly compare machine learning results to true volumetric, simultaneous temperature and velocity measurements. We demonstrate that AIVT can reconstruct and infer continuous, instantaneous velocity and temperature fields and their gradients from sparse experimental data at a high resolution, providing an additional approach for understanding thermal turbulence.

Science & Technology - Other Topics

Surface Tension Driven Convection Experiment (STDCE)

Results are reported of the Surface Tension Driven Convection Experiment (STDCE) aboard the USML-1 (first United States Microgravity Laboratory) Spacelab which was launched on June 25, 1992. In the experiment 10 cSt silicone oil was placed in an open circular container which was 10 cm wide by 5 cm deep. The fluid was heated either by a cylindrical heater (1.11 cm dia.) located along the container centerline or by a CO 2 laser beam to induce thermocapillary flow. The flow field was studied by flow visualization. Several thermistor probes were placed in the fluid to measure the temperature distribution. The temperature distribution along the liquid free surface was measured by an infrared imager. Tests were conducted over a range of heating powers, laser beam diameters, and free surface shapes. In conjunction with the experiments an extensive numerical modeling of the flow was conducted. In this paper some results of the velocity and temperature measurements with flat and curved free surfaces are presented and they are shown to agree well with the numerical predictions.

S Ostrach