FreyavanApeldoorn/DSE-26
May 2025 – Jun 2025
2 Months active
Languages Used
Python
Technical Skills
Aerospace EngineeringBattery Mass CalculationBattery SystemsCode CleanupData AnalysisData Science
Theo
PROFILE
Theo
Tudor Radomirescu developed core mass-metrics and thermal modeling capabilities for the FreyavanApeldoorn/DSE-26 repository, enabling robust design tradeoffs and early-stage risk reduction in aerospace system studies. He implemented a battery mass calculation module and a thermal subsystem simulation, using Python and Matplotlib for numerical modeling and data visualization. His work unified thermal power modeling across mission phases, refining cooling and heating power calculations and integrating deployment heat environments for more accurate thermal sizing. Through iterative code cleanup and refactoring, Tudor improved maintainability and reliability, establishing a foundation for phase-aware optimization and actionable insights in mass and thermal system design.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
3
Lines of code
1,065
Activity Months2
Your Network
34 people
Work History
June 2025
9 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for FreyavanApeldoorn/DSE-26 focused on a major modernization of the thermal model. Delivered a unified thermal power model across mission phases (hot, cruise, cold) with enhanced simulations, refined cooling/heating power calculations, and updated deployment heat environment. Visualization was updated to reflect the unified model and its phase-specific implications, improving visibility into thermal performance and risk. Executed extensive thermal module refinements (thermal.py) and sizing/plotting code updates across multiple commits, resulting in improved reliability, maintainability, and actionable insights for design optimization.
9 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for FreyavanApeldoorn/DSE-26 focused on a major modernization of the thermal model. Delivered a unified thermal power model across mission phases (hot, cruise, cold) with enhanced simulations, refined cooling/heating power calculations, and updated deployment heat environment. Visualization was updated to reflect the unified model and its phase-specific implications, improving visibility into thermal performance and risk. Executed extensive thermal module refinements (thermal.py) and sizing/plotting code updates across multiple commits, resulting in improved reliability, maintainability, and actionable insights for design optimization.
June 2025
May 2025
8 Commits • 2 Features
May 1, 2025May 2025 monthly summary for FreyavanApeldoorn/DSE-26: Delivered core mass-metrics and thermal modelling capabilities to enable robust design tradeoffs, risk reduction, and data-driven decision-making. Implemented Battery Mass Calculations Module (scaffold and core equations for mission duration, power, take-off mass, energy capacity, battery efficiency, and base mass fraction) with refinements for hover, range, and endurance. Implemented Thermal Subsystem Simulation with cooling power and time calculations, class-based structure, and matplotlib-based plots across mission phases. Demonstrated end-to-end modelling readiness for mass and thermal analyses and generated code hygiene improvements through iterative commits.
May 2025
8 Commits • 2 Features
May 1, 2025May 2025 monthly summary for FreyavanApeldoorn/DSE-26: Delivered core mass-metrics and thermal modelling capabilities to enable robust design tradeoffs, risk reduction, and data-driven decision-making. Implemented Battery Mass Calculations Module (scaffold and core equations for mission duration, power, take-off mass, energy capacity, battery efficiency, and base mass fraction) with refinements for hover, range, and endurance. Implemented Thermal Subsystem Simulation with cooling power and time calculations, class-based structure, and matplotlib-based plots across mission phases. Demonstrated end-to-end modelling readiness for mass and thermal analyses and generated code hygiene improvements through iterative commits.
Activity
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Quality Metrics
Correctness81.2%
Maintainability80.6%
Architecture74.2%
Performance69.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Aerospace EngineeringBackend DevelopmentBattery Mass CalculationBattery SystemsCode CleanupControl SystemsData AnalysisData ScienceData VisualizationMass Fraction CalculationMatplotlibPhysics CalculationsPythonPython DevelopmentRefactoring
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