masa-umich/mcnugget
Nov 2024 – Jan 2025
2 Months active
Languages Used
Python
Technical Skills
Data AnalysisScientific ComputingScriptingNumerical AnalysisPythonThermodynamics
JayChen35
PROFILE
Jaychen35
Developed foundational analytics tools for regenerative cooling channel design in the masa-umich/mcnugget repository, focusing on insert gap analysis and predictive modeling. Built Python scripts that define unit conversion constants, material properties, and data classes to structure channel data, alongside a heat transfer solver and basic plotting for channel radius visualization. Extended the model by implementing a solver-based approach using least_squares optimization, integrating RP1 fuel properties and thermodynamic calculations to predict channel behavior under defined conditions. Refactored data loading for maintainability, enabling reproducible workflows and accelerating engineering iterations. Demonstrated strengths in Python, scientific computing, data analysis, and numerical analysis throughout the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
252
Activity Months2
Your Network
14 peopleShared Repositories
14
Work History
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025: Implemented Regenerative gap calculation solver for the regenerative cooling model in masa-umich/mcnugget. Delivered a solver-based approach using RP1 fuel properties and heat transfer dynamics, refactored data loading, and introduced a Solver class with a solve method that uses least_squares for optimization. This work models and predicts the behavior of the regenerative cooling channel under defined conditions and lays the groundwork for more accurate design iterations, improved reliability, and data-driven decision making.
1 Commits • 1 Features
Jan 1, 2025January 2025: Implemented Regenerative gap calculation solver for the regenerative cooling model in masa-umich/mcnugget. Delivered a solver-based approach using RP1 fuel properties and heat transfer dynamics, refactored data loading, and introduced a Solver class with a solve method that uses least_squares for optimization. This work models and predicts the behavior of the regenerative cooling channel under defined conditions and lays the groundwork for more accurate design iterations, improved reliability, and data-driven decision making.
January 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for masa-umich/mcnugget: Delivered a foundational Regenerative Cooling Channel Analysis Script focused on insert gap analysis. The tool defines unit conversion constants, material properties, data classes for channel data, a heat transfer solver, and basic plotting to visualize channel radius. This establishes a reproducible analytics workflow for regenerative cooling design and accelerates future engineering iterations. No major bugs fixed this month. Key commit: c31bbec5c34662ee40068962978392c372c4fa5e.
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for masa-umich/mcnugget: Delivered a foundational Regenerative Cooling Channel Analysis Script focused on insert gap analysis. The tool defines unit conversion constants, material properties, data classes for channel data, a heat transfer solver, and basic plotting to visualize channel radius. This establishes a reproducible analytics workflow for regenerative cooling design and accelerates future engineering iterations. No major bugs fixed this month. Key commit: c31bbec5c34662ee40068962978392c372c4fa5e.
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisNumerical AnalysisPythonScientific ComputingScriptingThermodynamics
Repositories Contributed To
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