Hydrogen Combustion & Stratification
CFD analysis of mixing non-uniformity in multi-jet hydrogen combustors, using H₂O mass fraction as a stratification proxy in annular geometries.
Research
Computational research across hydrogen combustion, aerospace exhaust, and nonlinear dynamics.
Research at Anisotropic Labs is organised around physically grounded questions in CFD, combustion, and aerospace engineering — tested through simulation, validated against experiment, and communicated with methodological transparency.
Research Areas
Active domains in computational physics and aerospace engineering.
Aerospace Exhaust & Contrails
Near-field exhaust simulations across hydrogen and kerosene configurations, with saturation-ratio analysis for contrail formation potential.
Nonlinear Dynamical Systems
Computational study of friction-governed pendulum dynamics, validated against 240 fps motion-tracking with 98.5% predictive accuracy.
Publications & Reports
Research summaries and technical reports.
Near-Field vs Far-Field Stratification Dynamics in Multi-Jet Hydrogen Combustors
IIT Roorkee
1st Place, Konkurransen Unge Forskere 2026
This study quantifies mixing non-uniformity in annular multi-jet hydrogen combustors using Ansys Fluent CFD, introducing H₂O mass fraction as a novel proxy for combustion stratification across near-field and far-field domains.
CFD Analysis of Near-Field Exhaust Thermodynamics in Hydrogen-Fuelled Jet Engines and Contrail Formation
IIT Roorkee
1st Place, AIAA Region VII Student Conference, Dec 2025
A computational investigation of near-field exhaust thermodynamics in hydrogen-fuelled jet engines, comparing 10 inlet configurations with kerosene baselines and assessing contrail formation potential via Tetens-formula saturation ratio analysis.
Simulated Analysis of the Friction-Governed Dynamics of the Looping Pendulum
European Journal of Physics — Vol. 47, No. 1 (2026)
A peer-reviewed investigation of nonlinear looping pendulum dynamics by Avighna Daruka, Gyaneshwaran Gomathinayagam, and Aneesh Agarwal — combining coupled ODE derivation, Web-VPython real-time simulation, and experimental validation via 240 fps motion tracking achieving 98.5% predictive accuracy.
Influence of Angle of Attack on Airfoil Lift: A Computational Study
The Doon School — Young Scientists Journal
A computational study of lift and drag behaviour across NACA airfoil configurations, identifying critical stall angles through high-resolution angle-of-attack sweeps at 1° and 0.1° intervals.