Research

Note: My research papers are published under my legal name, Yilin Liuhan.

04 Passive reduction of unsteady lift fluctuations by sinusoidal trailing-edge waviness on a NACA 0012 aerofoil at low Reynolds number

Question: Can a wavy trailing edge reduce fluctuations in the lifting force on a wing without moving parts or active control?

My role and collaborators: I was first author, working with Toby Bryce-Smith at Imperial College London. I conducted simulations, analysed the forces and wake, and drafted the manuscript. Together, we revised the sampling positions to compare flow at equivalent distances behind the local trailing edge.

Method: I used computational fluid dynamics (CFD)—computer simulations of fluid flow—to compare a straight trailing edge with four wavy designs at a Reynolds number of 5,000 and a 9° angle to the airflow. Reynolds number describes the balance between inertial and viscous forces in the flow. I examined the total lifting force and the contributions from different sections of the wing.

Main result: For the tested design with a wavelength equal to 0.30 times the wing’s chord (its front-to-back length), root-mean-square (RMS) lift fluctuations—a measure of their typical size—were 9.66% lower than for the straight baseline, with a 95% confidence interval of 2.98–15.46%, under the simulated conditions.

Limitation: The simulations represent an idealised, repeating wing section at one operating condition. The uncertainty intervals for different wavelengths overlap, so the results do not establish a uniquely best wavelength or the best design for a complete wing across different flight conditions.

Publication: Read the published paper in Results in Engineering →

Published October 2026

Fluid Dynamics

CFD · Vortex shedding · Aerodynamics · Spanwise phase behaviour · NACA0012

Research figure comparing vorticity and mean streamwise velocity for straight and wavy trailing edges.
Spanwise vorticity and mean streamwise velocity for the baseline and wavy trailing edge (𝜆𝑧∕𝑐 = 0.30, ℎ∕𝑐 = 0.025) at 𝑅𝑒 = 5,000, 𝛼 = 9◦. (a,b) Instantaneous 𝜔𝑧 at 𝑧∕𝑐 = 0.0797, 𝑡 = 77.07 and 80, at matched phase based on 𝐶𝐿(𝑡). (c,d ) Time-averaged and spanwise-averaged ̄𝜔𝑧 over 𝑡 ∈ [50.0,79.07]. (e–h) Mean̄ 𝑈𝑥 over the same window at 𝑧∕𝑐=0.0797(e,f ) and 0.2297(g,h); black isolines are 𝑣′ rms.
Detailed research summary

Vortex shedding—the repeated release of swirling fluid behind an object—does not only affect mean aerodynamic performance: it also creates rapidly fluctuating aerodynamic forces that can contribute to vibration, fatigue and noise. In this project, I investigated whether deliberately introducing a three-dimensional wavy trailing edge could passively suppress these fluctuations without requiring an active control system.

Using three-dimensional large-eddy simulations, I studied a NACA 0012 aerofoil at Re = 5,000 and an angle of attack of 9°. A straight trailing edge was compared with sinusoidal geometries of four wavelengths, λ/c = 0.15, 0.20, 0.30 and 0.60, allowing me to test whether the aerodynamic response depended on matching the imposed geometry to characteristic spanwise scales within the wake.

The estimated reduction varied between wavelengths under the tested conditions. The λ/c = 0.30 geometry reduced RMS lift fluctuations by 9.66%, with a 95% confidence interval of 2.98–15.46%, while producing essentially no change in the dominant shedding frequency and only a very small change in mean drag. It was the only tested wavelength for which the confidence interval of the lift-fluctuation reduction excluded zero. However, the intervals for different wavelengths overlapped, so this does not establish a uniquely best wavelength.

I then separated the fluctuating force into contributions from different sections of the wing to investigate possible explanations for the reduction, including weaker local loading and changes in how sectional forces combine. This analysis explored the mechanism behind the measured result; it does not establish a single explanation that applies across other wing designs or operating conditions.


03 Experimental Characterisation of Idealised Erosion Effects on the Static Thrust Performance of Propellers at Low Reynolds Numbers

Question: How does the location and extent of erosion affect the thrust and power consumption of a small propeller?

My role and collaborators: I was first author, working with Toby Bryce-Smith at Imperial College London. I designed the propellers and thrust-testing rig, carried out the experiments, analysed the measurements, added mixed-mode erosion tests, checked the thrust measurements using known metal weights, and drafted the manuscript.

Method: I tested 3D-printed propellers with controlled amounts of material removed from their leading edge, upper apex, or both. At different rotational speeds, I measured thrust—the pushing force—and power consumption, then calculated the thrust-to-power ratio: measured thrust divided by measured power input.

Main result: In the static tests, erosion’s effect depended strongly on its location: leading-edge damage generally reduced thrust per unit of measured power, while removing material from the upper apex could increase that ratio under some tested conditions.

Limitation: The propellers were tested on a stationary rig without incoming airflow. The measured thrust-to-power ratio does not establish efficiency or performance during forward flight.

Preprint and manuscript status: Read the older preprint (version 1) → The summary here describes the revised manuscript under review at Results in Engineering. It includes additional mixed-mode erosion tests and thrust-stand validation; the linked preprint is an earlier version, not the revised manuscript.

2026

Experimental Aerodynamics

Propeller · Erosion · Thrust · Power measurements · Low Reynolds number

Experimental propeller rig showing the thrust sensor, motor, power controller, displays and battery.

Overview of the experimental rig and thrust-stand calibration. (a) The rig, showing the propeller, brushless motor, strain gauge (the thrust stand’s internal sensor), power controller, thrust display, power display, remote control, and Li-Po battery.
Detailed research summary

My first erosion study showed computationally that very small geometric changes could produce unexpectedly large aerodynamic effects. I wanted to determine whether those effects would survive the transition from an idealised two-dimensional simulation to a physical, rotating propeller.

I designed the experiment from the ground up, including a three-bladed fixed-pitch propeller based on a triangular aerofoil and a purpose-built thrust-testing rig. The propellers were additively manufactured with controlled erosion to their leading edge, upper apex, or combinations of both. I then measured thrust and power across Reynolds numbers of approximately 20,000–40,000, while the updated study also incorporated validation of the thrust-measurement system and additional mixed-mode erosion data.

The experiments showed that erosion could either improve or degrade performance depending strongly on where it occurred, its magnitude and the operating Reynolds number. In these static measurements, leading-edge erosion generally reduced thrust per unit of measured power, whereas removing material from the upper edge could reduce power consumption and increase this ratio under some tested conditions. Mixed erosion generally behaved as a combination of the individual modes rather than as an entirely separate response.

These static tests show how the measured thrust-to-power ratio changed under the tested conditions. Forward-flight performance would need separate testing.


02 Influence of polygon side number on laminar vortex shedding frequency and variability

Question: How does adding sides to a polygon affect vortex shedding—the repeated release of swirling fluid behind it—and how sensitive is the shedding frequency to the polygon’s orientation?

My role and collaborators: I was first author, working with Toby Bryce-Smith at Imperial College London. I set up the simulations, analysed the results, and wrote the manuscript. Investigating the hexagon’s unexpected frequency trend, I proposed classifying orientation by the geometry near flow separation rather than only by the face or corner pointing upstream.

Method: I used computational fluid dynamics (CFD)—computer simulations of fluid flow—to compare squares, hexagons, and octagons at three orientations each, at a Reynolds number of 200. I measured how frequently vortices formed and where the flow separated from each surface.

Main result: At a Reynolds number of 200, the standard deviation of shedding frequency across the tested orientations was 90% lower for the octagon than for the square. This describes a reduction in variability across orientations, not a 90% reduction in shedding frequency itself.

Limitation: The study used two-dimensional models at one flow condition, so its numerical results cannot be directly transferred to full-scale buildings or pipelines.

Publication: Read the published paper in the Journal of Emerging Investigators →

Published June 2026

Fluid Dynamics

CFD · Polygon geometry · Vortex shedding · Angular orientation

Vorticity contours around square, hexagonal and octagonal bodies at the tested orientations.
Contour graph of instantaneous vorticity of all test cases. A single timestep was selected and instantaneous vorticity plotted. Green and pink regions represent counterclockwise and clockwise rotation, respectively. The axes represent the 2D spatial region around the body.
Detailed research summary

When fluid flows around a bluff body, vortices periodically detach from alternating sides and produce oscillating forces. If this vortex-shedding frequency approaches a structure’s natural frequency, the resulting vibrations can become significant. I investigated how the geometry of polygonal structures affects both the frequency and variability of this shedding.

I created computational models of squares, hexagons and octagons at a Reynolds number of 200, testing each polygon at three angular orientations. My initial hypothesis was that increasing the number of sides would make vortex shedding less sensitive to orientation because the possible movement of the flow-separation point becomes progressively smaller.

The simulations supported this: from the square to the octagon, the range over which the separation point moved fell by 83%, while the standard deviation of shedding frequency across orientations decreased by 90%. However, the hexagon produced an unexpected result: the ordering of its maximum and minimum shedding frequencies was reversed relative to the square and octagon. Investigating this anomaly led me to propose an alternative way of classifying polygon orientation based on the geometry near flow separation rather than the conventional rotational labels.

These two-dimensional simulations show how polygon geometry affected sensitivity to orientation at a Reynolds number of 200. Testing at other flow conditions and in three dimensions would be needed before applying the numerical findings to full-scale structures such as pipelines or buildings.


01 Computational Study of Erosion Effects on a Triangular Aerofoil’s Aerodynamics at Reynolds number of 10,000

Question: How do the location, shape, and severity of erosion change the aerodynamic performance of a triangular aerofoil, a wing cross-section?

My role and collaborators: I was first author, working with Toby Bryce-Smith at Imperial College London. I designed the damaged geometries, ran simulations, analysed the results, and wrote the manuscript. I introduced comparisons with equal percentages of material removed to distinguish damage shape from severity.

Method: I used computational fluid dynamics (CFD)—computer simulations of fluid flow—to compare an undamaged aerofoil with different erosion patterns at a Reynolds number of 10,000. I measured lift, drag, and surface pressure as the aerofoil’s angle to the airflow changed.

Main result: At a Reynolds number of 10,000, removing material from the upper apex improved the lift-to-drag ratio at tested angles above approximately 2°. Erosion was therefore not uniformly detrimental within this model and the tested conditions.

Limitation: The model assumed two-dimensional, steady flow and could not reliably establish behaviour near stall, where extensive flow separation causes a loss of lift.

Publication: Read the published paper in the Journal of Emerging Investigators →

Published 28 March 2025

Aerodynamics

CFD · Erosion · Low Reynolds number · Aerofoil performance

Diagram of the triangular aerofoil showing top-edge erosion geometries and the study nomenclature.
Nomenclature and visualization of erosion edits to the top-edge of the aerofoil used in the study. (A) Visualization of the three different erosion modes at the top edge: AY3, BY1, CY5 (170°), and the baseline aerofoil. AY3 represents impact damage, BY1 represents erosion damage, and CY5 represents impact damage. Note that edits have varying mass loss for clarity. (B) Visualization of the nomenclature used for the study and a representative green hatched box showing the location of the zoomed figure 1A on the larger aerofoil.
Detailed research summary

Small aircraft and Martian aerial vehicles operate at low Reynolds numbers, where aerodynamic performance is particularly sensitive to changes in aerofoil geometry. Yet while erosion has been extensively studied for conventional aircraft and wind turbines, its effects on low-Reynolds-number aerofoils remain much less understood. I investigated whether relatively small amounts of erosion could significantly alter the performance of a triangular aerofoil designed for this flow regime.

I developed a two-dimensional computational fluid dynamics model of the aerofoil at a Reynolds number of 10,000 and simulated erosion at different locations and severities. Using lift, drag and surface-pressure distributions, I examined not only whether performance changed, but also how the location of the erosion altered the surrounding flow.

The results showed that aerodynamic performance was highly sensitive to where erosion occurred. At a Reynolds number of 10,000, across the tested angles from −3° to +6°, lift changed by between −35.2% and +23.2%, while drag changed by −16.0% to +28.8%. Leading- and top-edge modifications produced particularly strong changes to the suction-side pressure distribution, while top-edge erosion unexpectedly improved lift-to-drag ratio at positive angles of attack above approximately 2°.

Within the tested two-dimensional model at a Reynolds number of 10,000, erosion was not uniformly detrimental: its effects depended on the geometry and angle to the airflow. This raised a broader question that motivated my later experimental work: would these computational trends persist on a real rotating propeller?