Baran Deniz

Conducting high-fidelity CFD simulations for powertrain and turbomachinery systems in heavy-duty military vehicles, covering engines, pumps, valves, filters, and piping. Leading transmission module analyses, optimizing turbochargers, torque converters, retarders, and hydraulic couplings. Driving LES methodology adoption with validation and solver improvements. Delivering CFD-driven insights, thermal management solutions, and technical reports to cross-functional teams.

Performing the hydrodynamic design of oxidizer and fuel turbopumps for the micro satellite launch vehicle.Conducted steady-state and transient CFD simulations with cavitation modeling to assess and mitigate cavitation risks in liquid propulsion turbomachinery.Developed high-fidelity CFD models to analyze complex fluid flow in rocket engine.Contributed the development of in-house turbopump design software for liquid propellant rocket engines enabling automated design iterations and performance predictions.

Research Areas : CFD, Turbomachinery, Aerothermodynamics

Thesis: Developed turbopump design software for liquid-propellant rocket engines, intended as an educational resource for students and engineers. The software integrates turbopump design methods, a chemical reaction calculator, and a space journey calculator. Research: Developed a neural network algorithm to predict radial impeller performance. The algorithm estimates CFD results and shows the effect of design parameter changes without performing new CFD analyses.

Thesis : Developing python based 2D non-viscous cascade and single airfoil CFD analysis software. Software is aiming to shorten the design period via being the first step of designing pumps, compressors or single airfoils such as plane wings and locating the vortexes on airfoil.