PaSieg0/Ekranoplan-DSE
Apr 2025 – Jun 2025
3 Months active
Languages Used
PythonExcelJSONJavaScriptGit
Technical Skills
AerodynamicsAerospace EngineeringAircraft DesignAircraft PerformanceAircraft Performance ModelingData Analysis
OM00n
PROFILE
Om00n
Owen Moon developed advanced aircraft design and performance analysis tooling for the PaSieg0/Ekranoplan-DSE repository, focusing on data-driven workflows and iterative simulation. He engineered modules for weight estimation, center of gravity calculation, and aerodynamic modeling, integrating Python, JSON, and Matplotlib to enable automated, high-fidelity analysis. His work included refactoring core components for maintainability, implementing robust data handling, and enhancing visualization with 3D plotting and interactive design exploration. By modernizing parameterization and optimizing configuration management, Owen improved the accuracy and efficiency of design iterations, supporting safer, faster decision-making and enabling comprehensive stability and performance evaluation across multiple aircraft configurations.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
166Total
Bugs
20
Commits
166
Features
42
Lines of code
35,308
Activity Months3
Your Network
7 people
Work History
June 2025
78 Commits • 13 Features
Jun 1, 2025June 2025 monthly summary for PaSieg0/Ekranoplan-DSE. Delivered a set of high-value features and stability-focused improvements to CG calculations, wing placement, and fuselage parameter handling, alongside JSON-driven configuration and plotting enhancements. Key achievements spanned refactors, data handling improvements, and targeted bug fixes, all contributing to safer, more efficient design iterations and faster decision-making. Key features delivered and improvements: - Refactored LoadingDiagram, WingPlacementPlot, and fuselage dimension integration to improve CG calculations, wing placement plotting, and cargo/fuselage parameter handling; added Tail_area and interactive wing-placement slider for dynamic design exploration. - Completed vertical tail and empennage sizing improvements with refactored calculations to support better stability analysis. - JSON-driven configuration enhancements: integrated Scissor_plot and main_empennage with design3.json, updated parameters for accurate optimization; added 3D plotting capability and global design parameter updates across diagrams. - Aircraft data handling and weight/stability refinements: improved data access/consistency, updated stability coefficients (including floater endplate), and enriched CG/weight estimation workflows. - Plotting and visualization: major enhancements to plotting, including 3D support and improved plot rendering for clearer design visualization; verification checks added/adjusted to ensure model correctness. - Bug fixes and maintenance: resolved back-to-front loading issues, corrected l_h definitions and related plot issues, fixed JSON parsing/storage issues, validated wing landing behavior, and completed batch-wide maintenance fixes. Overall impact and business value: - Faster, safer design decisions through improved CG accuracy, wing-placement optimization, and stability analysis. - Greater reproducibility and configurability via JSON-driven design parameters and centralized data handling. - Reduced iteration time with richer visualization (3D plots) and robust verification steps. Technologies and skills demonstrated: - Python-based refactoring, numerical CG calculations, design parameter optimization, and stability analysis. - JSON configuration management and data handling for complex multi-module systems. - 3D plotting, advanced visualization, and plotting pipeline improvements. - Rigorous bug-fixing discipline and maintenance practices across a large feature set.
78 Commits • 13 Features
Jun 1, 2025June 2025 monthly summary for PaSieg0/Ekranoplan-DSE. Delivered a set of high-value features and stability-focused improvements to CG calculations, wing placement, and fuselage parameter handling, alongside JSON-driven configuration and plotting enhancements. Key achievements spanned refactors, data handling improvements, and targeted bug fixes, all contributing to safer, more efficient design iterations and faster decision-making. Key features delivered and improvements: - Refactored LoadingDiagram, WingPlacementPlot, and fuselage dimension integration to improve CG calculations, wing placement plotting, and cargo/fuselage parameter handling; added Tail_area and interactive wing-placement slider for dynamic design exploration. - Completed vertical tail and empennage sizing improvements with refactored calculations to support better stability analysis. - JSON-driven configuration enhancements: integrated Scissor_plot and main_empennage with design3.json, updated parameters for accurate optimization; added 3D plotting capability and global design parameter updates across diagrams. - Aircraft data handling and weight/stability refinements: improved data access/consistency, updated stability coefficients (including floater endplate), and enriched CG/weight estimation workflows. - Plotting and visualization: major enhancements to plotting, including 3D support and improved plot rendering for clearer design visualization; verification checks added/adjusted to ensure model correctness. - Bug fixes and maintenance: resolved back-to-front loading issues, corrected l_h definitions and related plot issues, fixed JSON parsing/storage issues, validated wing landing behavior, and completed batch-wide maintenance fixes. Overall impact and business value: - Faster, safer design decisions through improved CG accuracy, wing-placement optimization, and stability analysis. - Greater reproducibility and configurability via JSON-driven design parameters and centralized data handling. - Reduced iteration time with richer visualization (3D plots) and robust verification steps. Technologies and skills demonstrated: - Python-based refactoring, numerical CG calculations, design parameter optimization, and stability analysis. - JSON configuration management and data handling for complex multi-module systems. - 3D plotting, advanced visualization, and plotting pipeline improvements. - Rigorous bug-fixing discipline and maintenance practices across a large feature set.
June 2025
May 2025
76 Commits • 26 Features
May 1, 2025May 2025 highlights for PaSieg0/Ekranoplan-DSE: Delivered a major modernization of parameterization and design tooling to accelerate iteration cycles and boost fidelity of performance predictions. Key work included introducing a Data class for aircraft parameters and integrating it across design1.json, WingLoading, and ClassIWeightEstimation, with expanded mission data. Implemented an iterative weight estimation framework (MainIteration/ModifiedClassI) and refined MTOM calculations with mission-specific k and LD values. Conducted extensive design.json modernization across design1–design4, adding new parameters (n_wings, updated OEW, stall speeds, and fuel fractions) and improving precision. Upgraded visualization/analysis tooling with design comparison visuals, MTOM breakdowns, and P_TO analysis, with clearer axis labels. Expanded data coverage and testing capabilities through additional aircraft data batches, ISA altitude support, and new saving/presentation scripts for results. Also completed quality improvements by removing unnecessary debug prints and cleaning up parsing/configuration.
May 2025
76 Commits • 26 Features
May 1, 2025May 2025 highlights for PaSieg0/Ekranoplan-DSE: Delivered a major modernization of parameterization and design tooling to accelerate iteration cycles and boost fidelity of performance predictions. Key work included introducing a Data class for aircraft parameters and integrating it across design1.json, WingLoading, and ClassIWeightEstimation, with expanded mission data. Implemented an iterative weight estimation framework (MainIteration/ModifiedClassI) and refined MTOM calculations with mission-specific k and LD values. Conducted extensive design.json modernization across design1–design4, adding new parameters (n_wings, updated OEW, stall speeds, and fuel fractions) and improving precision. Upgraded visualization/analysis tooling with design comparison visuals, MTOM breakdowns, and P_TO analysis, with clearer axis labels. Expanded data coverage and testing capabilities through additional aircraft data batches, ISA altitude support, and new saving/presentation scripts for results. Also completed quality improvements by removing unnecessary debug prints and cleaning up parsing/configuration.
April 2025
12 Commits • 3 Features
Apr 1, 2025In April 2025, PaSieg0/Ekranoplan-DSE delivered significant progress in mission-driven weight estimation, aircraft performance modeling, and atmospheric modeling, enabling higher fidelity planning and automated analysis for multi-aircraft fleets. The work emphasizes data-driven configuration, robust data binding, and end-to-end workflows that support design decisions and operations planning.
12 Commits • 3 Features
Apr 1, 2025In April 2025, PaSieg0/Ekranoplan-DSE delivered significant progress in mission-driven weight estimation, aircraft performance modeling, and atmospheric modeling, enabling higher fidelity planning and automated analysis for multi-aircraft fleets. The work emphasizes data-driven configuration, robust data binding, and end-to-end workflows that support design decisions and operations planning.
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.4%
Architecture77.6%
Performance69.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
ExcelGitJSONJavaScriptPython
Technical Skills
AerodynamicsAerodynamics SimulationAerospace EngineeringAircraft DesignAircraft PerformanceAircraft Performance AnalysisAircraft Performance ModelingAircraft Performance SimulationBackend DevelopmentCenter of Gravity CalculationCode CleanupCode RefactoringComponent PositioningComputational Fluid DynamicsConfiguration Management
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