KT.← Selected work

Experimental aerodynamics / 2024 to present

VortexField
Apparatus.

A modular, 32-fan programmable open-jet wind wall for controlled axial-inflow generation and propeller-interaction research.

32 independent fans1.84 kWESP32 controlHot-wire mappingAIAA 2026

Not a wind tunnel.
A programmable
inflow source.

The VFa generates exploratory, spatially nonuniform axial inflow, not a perfectly uniform freestream.

VortexField Apparatus 32-fan array and propeller test setup
VFa installed for propeller-interaction testing, with the 8 × 4 fan array, conditioned outlets, control hardware, and test stand.

32 fans.
One flowfield.
Many commands.

The VFa is an 8 × 4 array built from two 4 × 4 modules of Delta PFC1212DE fans. Every fan is separately PWM-controlled, allowing spatially varying commands rather than a single all-or-nothing flow setting.

Two ESP32 DevKits each control 16 fans. A custom Python GUI sends a 1 × 32 PWM command vector, split between the controllers. At full duty cycle, the 960 × 480 mm array draws roughly 1.84 kW through two dedicated ~1 kW supplies with inline fusing.

32Individually controlled fans
8 × 4Array geometry
960 × 480mm array footprint
2ESP32 controllers
1.84 kWFull-array demand

A command for
every fan.

01SetTarget flow command
02Build1 × 32 PWM vector
03Split16 channels per controller
04SendCustom Python GUI
05ControlTwo ESP32 DevKits
06DriveIndividual 12 V fans
07ShapeDiffusers + honeycomb
08MeasureHot-wire flow mapping

The control framework supports all-fans-equal operation, independently commanded fan duty cycles, and spatially varying flow commands. It has also been expanded conservatively toward time-varying flowfield generation.

Turning fan wakes
into usable inflow.

Raw fan outlets brought swirl, radial components, gaps, and pronounced hub deficits.

I designed circular-to-square diffuser shrouds with a 3° half-angle and selected 1-inch aluminum honeycomb through pressure-loss comparisons. The shrouds transition each ~116 mm circular outlet to a tileable square exit, while the honeycomb improves downstream alignment at the cost of mean velocity.

Design intentReduce swirl.
Improve alignment.
Preserve modularity.

Flow visualization using a fog machine and green laser sheet confirmed reduced visible swirl and a more square outlet flow shape downstream of the conditioning hardware.

Same command.
Different fan.

Nominally identical fans did not deliver identical velocity for the same PWM command.

I consolidated the complete calibration dataset and generated fan-specific PWM-to-velocity relationships for all 32 fans. Calibration covered seven PWM levels and a 5 × 5 grid across each fan outlet. I collected several datasets; Nathan Guerra collected additional sets.

32 fans×25 positions×7 PWM levels=5,600 conditions
Average flow speed versus PWM calibration curves for all 32 VFa fans
Fan-specific average-velocity calibration curves across seven PWM commands for all 32 channels.

Calibration improved
commands, not physics.

Fan-specific commands improved consistency, while substantial spatial variation remained.

I used hot-wire anemometry and MATLAB post-processing to map the array flowfield. Fan-hub deficits, fan-to-fan interaction, residual flow structures, and measurement-plane effects remain central limitations. Calibration does not make the VFa a uniform wind tunnel.

Uncalibrated VFa flowfield map at PWM 255
Uncalibrated full-array flowfield, PWM = 255. Approx. 1.348 to 18.110 m/s.
Calibrated VFa flowfield map using fan-specific commands
Fan-specific calibrated flowfield. Approx. 1.798 to 15.816 m/s.

Seeing the flow
as it develops.

Green laser-sheet visualization provided a direct qualitative view of the conditioned outlet flow and downstream structures.

Early-stage green laser visualization of VFa flow
Early downstream flow structure.
Green laser visualization of VFa flow showing vortex structures
Developing coherent structures.
Green laser visualization of VFa conditioned flow
Conditioned outlet flow field.
Green laser visualization of VFa downstream flow
Downstream wake structure.

Test the source
against a reference.

I benchmarked an APC 12 × 4.5 MR propeller on the Cal Poly Flight Test Stand against the Cal Poly Low Speed Wind Tunnel.

The comparison covered 800 to 2400 RPM and measured thrust and torque, post-processed into Ct, Cq, and advance ratio. Differences between the VFa and wind-tunnel results were expected and tied to inflow-speed mismatch, local velocity variation, array nonuniformity, and alignment, not treated as evidence of equivalence.

ReferenceCal Poly Low Speed Wind Tunnel
VFa condition~5 m/s mapped mean velocity
MeasuredThrust, torque, Ct, Cq, J

Research worth
sharing.

The original VFa design and validation work was published for the 2026 AIAA Regional Student Conferences.

Kanan Thummar and Nandeesh Hiremath, “Design and Validation of a Multi-Fan Modular Open-Jet Wind Wall for Controlled Inflow Generation,” 2026 AIAA Regional Student Conferences.

Read the publication ↗