New Paper: A Digital Twin of a Rayleigh-Bénard convection experiment!

We are excited to present the latest research paper titled "Digital twin of a large-aspect-ratio Rayleigh-Bénard experiment: role of thermal boundary conditions, measurement errors and uncertainties" written by our colleagues @Philipp Vieweg, @Theo Käufer, @Christian Cierpka and Jörg Schumacher in which they developed a digital twin of a Rayleigh-Bénard convection experiment to bridge the gap between numerical simulations and physical experiments.

One of the challenges in convection studies has been to explain the differences between experimental and numerical results. The work addresses this by carefully replicating the experimental boundary conditions in the numerical model and evaluating the influence of measurement techniques on the observed dynamics. It is found that differences in how data is captured and processed can significantly impact the results.

Through this digital twin approach, they were able to: ✅ Recreate the experimental setup numerically with high fidelity ✅ Assess how measurement techniques influence observed flow behavior ✅ Explain discrepancies between numerics and experiments

If you're working on fluid dynamics, digital twins, or convection modeling, this work might be of interest!

📄 Read the full open-access paper here: https://www.cambridge.org/core/journals/flow/article/digital-twin-of-a-largeaspectratio-rayleighbenard-experiment-role-of-thermal-boundary-conditions-measurement-errors-and-uncertainties/48C7A2D2D5FDB2C77F1BAE5D077C5C37