masa-umich/mcnugget
Nov 2024 – Jan 2025
2 Months active
Languages Used
Python
Technical Skills
Data AnalysisScientific ComputingScriptingNumerical AnalysisPythonThermodynamics
JayChen35
PROFILE
Jaychen35
Jay Chen developed foundational analytics tools for the masa-umich/mcnugget repository, focusing on regenerative cooling channel analysis and modeling. Over two months, Jay delivered a Python-based script for insert gap analysis, establishing unit conversion constants, material property definitions, and data classes to structure channel data. He implemented a heat transfer solver and basic plotting to visualize channel radius, creating a reproducible workflow for engineering analysis. In a subsequent update, Jay introduced a solver leveraging least_squares optimization to model regenerative gap behavior using RP1 fuel properties and thermodynamics, refactoring data loading for reliability and enabling predictive modeling to support iterative cooling channel design.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
252
Activity Months2
Your Network
11 people
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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