Construction of a reduced-order model of an electro-osmotic micromixer and discovery of attractors for petal structure
The chaotic state of microfluidic devices such as electroosmotic micromixers has received
extensive attention. Its unsteady flow and multi-physics mask low-dimensional structure and …
extensive attention. Its unsteady flow and multi-physics mask low-dimensional structure and …
[HTML][HTML] Flow structure and dynamics behind cylinder arrays at Reynolds number∼ 100
M Sharifi Ghazijahani, C Cierpka - Physics of Fluids, 2023 - pubs.aip.org
The flow behind nine different arrays of cylinders is experimentally investigated via Particle
Image Velocimetry (PIV) at a Reynolds number of Re∼ 100 based on the diameter of the …
Image Velocimetry (PIV) at a Reynolds number of Re∼ 100 based on the diameter of the …
Trajectory-optimized cluster-based network model for the sphere wake
We propose a novel trajectory-optimized cluster-based network model (tCNM) for nonlinear
model order reduction from time-resolved data following Li et al.[“Cluster-based network …
model order reduction from time-resolved data following Li et al.[“Cluster-based network …
Cluster-based control for net drag reduction of the fluidic pinball
We propose a Cluster-Based Control (CBC) strategy for model-free feedback drag reduction
with multiple actuators and full-state feedback. CBC consists of three steps. First, the input of …
with multiple actuators and full-state feedback. CBC consists of three steps. First, the input of …
From snapshots to manifolds–a tale of shear flows
We propose a novel nonlinear manifold learning from snapshot data and demonstrate its
superiority over proper orthogonal decomposition (POD) for shedding-dominated shear …
superiority over proper orthogonal decomposition (POD) for shedding-dominated shear …
Machine-learned control-oriented flow estimation for multi-actuator multi-sensor systems exemplified for the fluidic pinball
We propose the first machine-learned control-oriented flow estimation for multiple-input,
multiple-output plants. The starting point is constant actuation with open-loop actuation …
multiple-output plants. The starting point is constant actuation with open-loop actuation …
Reduced-order model and attractor identification for large eddy simulation of squirrel cage fan
A large eddy simulation (LES) of a squirrel cage fan (SCF) provides a precise representation
of turbulent flows with different degrees of complexity. This study comprehensively analyzes …
of turbulent flows with different degrees of complexity. This study comprehensively analyzes …
Dimensional analysis of hydrogen Knudsen compressor
The genetic algorithm for enhancing the elite preservation strategy is extended to data-
driven dimensional analysis and validated in the laminar boundary layer and the …
driven dimensional analysis and validated in the laminar boundary layer and the …
Galerkin spectral estimation of vortex-dominated wake flows
KJ Asztalos, A Almashjary, STM Dawson - Theoretical and Computational …, 2023 - Springer
We propose a technique for performing spectral (in time) analysis of spatially-resolved
flowfield data, without needing any temporal resolution or information. This is achieved by …
flowfield data, without needing any temporal resolution or information. This is achieved by …
Self-tuning model predictive control for wake flows
This study presents a noise-robust closed-loop control strategy for wake flows employing
model predictive control. The proposed control framework involves the autonomous offline …
model predictive control. The proposed control framework involves the autonomous offline …