PURPL-Purdue/Turbopump
Nov 2024 – Feb 2025
3 Months active
Languages Used
MATLABPython
Technical Skills
CFDFluid DynamicsSimulationSoftware DevelopmentThermodynamicsEngineering Calculations
Andrew Fontanetta
PROFILE
Andrew Fontanetta
Anthony Fontanetta contributed to the PURPL-Purdue/Turbopump repository by developing and refining simulation tools for turbopump nozzle sizing and performance analysis. Over three months, he overhauled the throat-area calculation to improve simulation fidelity, using MATLAB and Python to implement physics-informed methods based on characteristic velocity and pressure. He enhanced code maintainability by removing obsolete MATLAB scripts and introduced a Python-based nozzle sizing tool, updating mass flow constants and clarifying output units. His work focused on engineering calculations, code refactoring, and thermodynamics, resulting in more accurate, maintainable, and business-relevant simulation outputs that streamline design iteration and support cold and hot-fire testing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
4
Lines of code
222
Activity Months3
Your Network
26 people
Work 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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