PURPL-Purdue/Turbopump
Nov 2024 – Feb 2025
3 Months active
Languages Used
MATLABPython
Technical Skills
CFDFluid DynamicsSimulationSoftware DevelopmentThermodynamicsEngineering Calculations
Andrew Fontanetta
PROFILE
Andrew Fontanetta
Worked on the PURPL-Purdue/Turbopump repository, delivering four features over three months focused on improving simulation fidelity and engineering calculations for turbopump nozzle design. Applied expertise in CFD, thermodynamics, and fluid dynamics to overhaul the throat-area calculation, refine nozzle sizing tools, and enhance mass flow and exhaust velocity computations. Used MATLAB and Python to implement physics-informed updates, clean up legacy scripts, and clarify output units, resulting in more accurate simulations and streamlined design iterations. The work emphasized code maintainability and traceability, supporting both cold gas and hot-fire turbine paths while reducing confusion and accelerating testing cycles for engineering teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
4
Lines of code
222
Activity Months3
Your Network
32 peopleWork History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for PURPL-Purdue/Turbopump. Focused on improving nozzle sizing accuracy and output usability for turbopump design. Implemented Nozzle Sizing Calculation Improvements with updated mass flow constant, clarified and unit-updated outputs, and revised formulas for exhaust velocity and exit area. This work reduces design iteration time and improves downstream integration.
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for PURPL-Purdue/Turbopump. Focused on improving nozzle sizing accuracy and output usability for turbopump design. Implemented Nozzle Sizing Calculation Improvements with updated mass flow constant, clarified and unit-updated outputs, and revised formulas for exhaust velocity and exit area. This work reduces design iteration time and improves downstream integration.
February 2025
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 Monthly Summary for PURPL-Purdue/Turbopump. Focused on codebase cleanliness, nozzle sizing tooling, and calibration updates to support cold testing. These changes improve maintainability, reduce confusion, and accelerate iteration cycles for nozzle design and testing.
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 Monthly Summary for PURPL-Purdue/Turbopump. Focused on codebase cleanliness, nozzle sizing tooling, and calibration updates to support cold testing. These changes improve maintainability, reduce confusion, and accelerate iteration cycles for nozzle design and testing.
November 2024
2 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered a physics-informed overhaul of the throat-area calculation (A_throat) for PURPL-Purdue/Turbopump, enhancing simulation fidelity and business relevance. The change improves predictions for both cold gas integration and hot-fire turbine paths by refining throat area computation using characteristic velocity and initial pressure, updating constants for initial and exit pressures, and adjusting related parameters such as nozzle count and shaft power. The work was validated through commits that clearly document the improvements and provide traceability.
2 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11: Delivered a physics-informed overhaul of the throat-area calculation (A_throat) for PURPL-Purdue/Turbopump, enhancing simulation fidelity and business relevance. The change improves predictions for both cold gas integration and hot-fire turbine paths by refining throat area computation using characteristic velocity and initial pressure, updating constants for initial and exit pressures, and adjusting related parameters such as nozzle count and shaft power. The work was validated through commits that clearly document the improvements and provide traceability.
November 2024
Activity
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Quality Metrics
Correctness84.4%
Maintainability84.4%
Architecture75.6%
Performance71.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
MATLABPython
Technical Skills
CFDCode RefactoringEngineering CalculationsEngineering SimulationFluid DynamicsSimulationSoftware DevelopmentThermodynamics
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