Isabel Scherl
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View article: Reduced-order modeling and classification of hydrodynamic pattern formation in gravure printing
Reduced-order modeling and classification of hydrodynamic pattern formation in gravure printing Open
Hydrodynamic pattern formation phenomena in printing and coating processes are still not fully understood. However, fundamental understanding is essential to achieve high-quality printed products and to tune printed patterns according to t…
View article: Near Wake Dynamics of a Cross-Flow Turbine Array
Near Wake Dynamics of a Cross-Flow Turbine Array Open
Cross-flow turbines, also known as vertical-axis turbines, convert the kinetic energy in moving fluid to mechanical energy using blades that rotate about an axis perpendicular to the incoming flow. In these experiments, the performance and…
View article: Machine learning benchmark for flow reconstruction in the TCC–III optical engine
Machine learning benchmark for flow reconstruction in the TCC–III optical engine Open
We present EngineBench, the first machine learning (ML) benchmark designed for engine in-cylinder flow research. The benchmark data consist of curated particle image velocimetry (PIV) measurements previously gathered from the Transparent C…
View article: Wave and Turbulence Separation Using Dynamic Mode Decomposition
Wave and Turbulence Separation Using Dynamic Mode Decomposition Open
Separating the effects of waves and turbulence in oceanographic time series is an ongoing challenge because surface wave motion and turbulence fluctuations can occur at overlapping frequencies. Therefore, simple bandpass filters cannot eff…
View article: Reduced-order modeling and classification of hydrodynamic pattern formation in gravure printing
Reduced-order modeling and classification of hydrodynamic pattern formation in gravure printing Open
Hydrodynamic pattern formation phenomena in printing and coating processes are still not fully understood. However, fundamental understanding is essential to achieve high-quality printed products and to tune printed patterns according to t…
View article: Data-Driven Modeling for On-Demand Flow Prescription in Fan-Array Wind Tunnels
Data-Driven Modeling for On-Demand Flow Prescription in Fan-Array Wind Tunnels Open
Fan-array wind tunnels are an emerging technology to design bespoke wind fields through grids of individually controllable fans. This design is especially suited for the turbulent, dynamic, non-uniform flow conditions found close to the gr…
View article: Bio-inspired compensatory strategies for damage to flapping robotic propulsors
Bio-inspired compensatory strategies for damage to flapping robotic propulsors Open
Natural swimmers and flyers can fully recover from catastrophic propulsor damage by altering stroke mechanics: some fish can lose even 76% of their propulsive surface without loss of thrust. We consider applying these principles to enable …
View article: EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine
EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine Open
We present EngineBench, the first machine learning (ML) oriented database to use high quality experimental data for the study of turbulent flows inside combustion machinery. Prior datasets for ML in fluid mechanics are synthetic or use ove…
View article: Wave and turbulence separation using dynamic mode decomposition
Wave and turbulence separation using dynamic mode decomposition Open
Separating the effects of waves and turbulence in oceanographic time series is an ongoing challenge because surface wave motion and turbulence fluctuations can occur at overlapping frequencies. Therefore, simple bandpass filters cannot eff…
View article: Filtering dynamical systems using observations of statistics
Filtering dynamical systems using observations of statistics Open
We consider the problem of filtering dynamical systems, possibly stochastic, using observations of statistics. Thus, the computational task is to estimate a time-evolving density ρ(v,t) given noisy observations of the true density ρ†; this…
View article: Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors
Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors Open
To maintain full autonomy, autonomous robotic systems must have the ability to self-repair. Self-repairing via compensatory mechanisms appears in nature: for example, some fish can lose even 76% of their propulsive surface without loss of …
View article: An experimental evaluation of the interplay between geometry and scale on cross-flow turbine performance
An experimental evaluation of the interplay between geometry and scale on cross-flow turbine performance Open
Cross-flow turbines harness kinetic energy in wind or moving water. Due to their unsteady fluid dynamics, it can be difficult to predict the interplay between aspects of rotor geometry and turbine performance. This study considers the effe…
View article: Filtering Dynamical Systems Using Observations of Statistics
Filtering Dynamical Systems Using Observations of Statistics Open
We consider the problem of filtering dynamical systems, possibly stochastic, using observations of statistics. Thus, the computational task is to estimate a time-evolving density $ρ(v, t)$ given noisy observations of the true density $ρ^\d…
View article: Cycle-to-cycle variations in cross-flow turbine performance and flow fields
Cycle-to-cycle variations in cross-flow turbine performance and flow fields Open
Cross-flow turbine performance and flow fields exhibit cycle-to-cycle variations, though this is often implicitly neglected through time- and phase-averaging. This variability could potentially arise from a variety of mechanisms -- inflow …
View article: Geometric and control optimization of a two cross-flow turbine array
Geometric and control optimization of a two cross-flow turbine array Open
Cross-flow turbines, also known as vertical-axis turbines, convert the kinetic energy in moving fluid to mechanical energy using blades that rotate about an axis perpendicular to the incoming flow. In this work, the performance of a two-tu…
View article: Robust principal component analysis for modal decomposition of corrupt fluid flows
Robust principal component analysis for modal decomposition of corrupt fluid flows Open
Modal analysis techniques are used to identify patterns and develop reduced-order models in a variety of fluid applications. However, experimentally acquired flow fields may be corrupted with incorrect and missing entries, which may degrad…
View article: Robust Principal Component Analysis for Particle Image Velocimetry
Robust Principal Component Analysis for Particle Image Velocimetry Open
Particle image velocimetry (PIV) is an experimental technique used to measure fluid flow fields. However, PIV fields often have spurious and missing velocity vectors that degrade subsequent analyses. Standard post-processing involves the i…