PURPL-Purdue/Turbopump
Mar 2026 – Mar 2026
1 Month active
Languages Used
PythonYAML
Technical Skills
configuration managementdata analysisnumerical methodsscientific computingsimulation modelingthermal analysis
r2914m
PROFILE
R2914m
Worked on enhancing the rocket nozzle 2D heat transfer solver within the PURPL-Purdue/Turbopump repository, focusing on improving simulation fidelity and performance. Refined boundary conditions and updated simulation parameters, with all changes tracked in heat_transfer.yaml to ensure reproducibility and facilitate parameter tuning. Applied skills in configuration management, scientific computing, and thermal analysis using Python and YAML to deliver more accurate transient heat transfer predictions. Maintained a clean, version-controlled workflow with clear traceability, supporting future audits and iterative development. These improvements enabled more reliable nozzle design decisions and faster simulation cycles, addressing the need for accuracy in complex thermal modeling scenarios.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
49
Activity Months1
Your Network
32 peopleWork History
March 2026
2 Commits • 1 Features
Mar 1, 20262026-03 Monthly Summary: Focused on strengthening the fidelity and performance of the rocket nozzle 2D heat transfer solver within Turbopump. Implemented boundary condition refinements and updated simulation parameters, with changes tracked in heat_transfer.yaml. Key commits: 9130ef3e81853ebfacf46f1f4a3eae1afffc174f and 28d1c3ad1941b6d1e21fbe23b87bb763661bdb04. This work improves accuracy of transient heat transfer predictions, enabling more reliable nozzle design and faster iteration cycles.
2 Commits • 1 Features
Mar 1, 20262026-03 Monthly Summary: Focused on strengthening the fidelity and performance of the rocket nozzle 2D heat transfer solver within Turbopump. Implemented boundary condition refinements and updated simulation parameters, with changes tracked in heat_transfer.yaml. Key commits: 9130ef3e81853ebfacf46f1f4a3eae1afffc174f and 28d1c3ad1941b6d1e21fbe23b87bb763661bdb04. This work improves accuracy of transient heat transfer predictions, enabling more reliable nozzle design and faster iteration cycles.
March 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
configuration managementdata analysisnumerical methodsscientific computingsimulation modelingthermal analysis
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