FreyavanApeldoorn/DSE-26
May 2025 – Jun 2025
2 Months active
Languages Used
Python
Technical Skills
Aerospace EngineeringBattery ModelingEngineering CalculationsPhysics CalculationsSystems DesignAerodynamics
Wietske Overdijkink
PROFILE
Wietske Overdijkink
Worked on the FreyavanApeldoorn/DSE-26 repository, delivering four features and one bug fix over two months focused on aerospace engineering challenges. Developed robust battery mass estimation and sizing modules, implementing quadratic power estimation with error handling to improve mission planning and system safety. Enhanced propulsion input parameters and unit normalization for more accurate cruise performance. Built comprehensive wing section analysis and visualization tools, supporting airfoil, centroid, and stress distribution analytics across multiple flight regimes. Utilized Python, Pandas, and Matplotlib for data modeling, numerical computation, and visualization, resulting in more reliable design iterations and improved analysis for critical aerospace systems.
Overall Statistics
Feature vs Bugs
80%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
4
Lines of code
684
Activity Months2
Your Network
37 peopleSame Organization
@student.tudelft.nl30
Work History
June 2025
17 Commits • 3 Features
Jun 1, 2025June 2025, FreyavanApeldoorn/DSE-26 performance-focused monthly summary highlighting delivered features, fixed issues, and resulting business impact. Key features delivered: - Battery Sizing Calculations: introduced a new battery sizing module with refined power subsystem calculations, including capacity in Watt-hours and clearer time_turnaround naming. (commits: 9f0115d47d376d5b9326eb738b7593c04f7b544a; b49c956c3356270c350e7a25a97329300b3a4740) - Propulsion Input Parameter Refinements: refined propulsion-related inputs and constants for more accurate cruise performance, with unit normalization and additional constants. (commits: e6706cc79f6b6a15298ca8d9151d3ad7393a7327; 2b7fa4c3d39d430c3bdd31ae62ae6a74640f240e) - Wing Section Analysis and Visualization: delivered comprehensive wing section analysis and visualization capabilities, including airfoil, centroid/spar visualization, structural areas, stress distributions, torsion, aerodynamic center, VTOL considerations, and load-case plotting for hover, cruise, and VTOL. (commits: ced6779008214fa03f1df5eba2e217f1bbb49e4e; aee4415880464550bf066b326501da8a1d78973d; 07774cdaed276ca9d3dff9676efd3395fb98828a; df71f77763c139452e2479792f50859ceec08feb; e67912067905911669000b421950f6e18e2d22f3; 61cd9b0b716af3cad7c6f40a09720814c5191fad; 4ce24c83ffbceeae7282ec387e79e0d64a6d05b2; a9f69ca43947147a99da8964c263238ae5cef588; 4a38ca1941829c915df48a7c18e4c705628a9f6a; 2c27dbb6a035a4fc1abdd49b34ed6000995217df; d3c37218a62a52d85014d27cc53f0762dacab7cd) - Wing Section Analysis Plotting Bug Fixes: fixed plotting issues and enhanced bending stress visualization; clarified load/torsion-related comments and stabilized stress plots. (commits: 2132392aad866c44fabecc82921de85c5b1eb726; 55b1c02278ea009f14e9a15859956666ef6c5589) Major bugs fixed: - Wing Section Analysis Plotting issues resolved, leading to clearer bending stress visualization and stabilized stress plots across load cases. Overall impact and accomplishments: - Strengthened design confidence through accurate battery sizing, refined propulsion inputs, and robust wing-section analytics, enabling faster design iterations and better lifecycle decisions. - Improved data visualization and analysis reliability for critical flight regimes (hover, cruise, VTOL), supporting safer, more optimized vehicle configurations. Technologies/skills demonstrated: - Python data modeling and numerical methods for energy and propulsion calculations - Data handling, visualization, and plotting for aerostructure analyses - Unit normalization, constants management, and parameter refinement for simulation fidelity - Technical communication and traceability through commit-level documentation
17 Commits • 3 Features
Jun 1, 2025June 2025, FreyavanApeldoorn/DSE-26 performance-focused monthly summary highlighting delivered features, fixed issues, and resulting business impact. Key features delivered: - Battery Sizing Calculations: introduced a new battery sizing module with refined power subsystem calculations, including capacity in Watt-hours and clearer time_turnaround naming. (commits: 9f0115d47d376d5b9326eb738b7593c04f7b544a; b49c956c3356270c350e7a25a97329300b3a4740) - Propulsion Input Parameter Refinements: refined propulsion-related inputs and constants for more accurate cruise performance, with unit normalization and additional constants. (commits: e6706cc79f6b6a15298ca8d9151d3ad7393a7327; 2b7fa4c3d39d430c3bdd31ae62ae6a74640f240e) - Wing Section Analysis and Visualization: delivered comprehensive wing section analysis and visualization capabilities, including airfoil, centroid/spar visualization, structural areas, stress distributions, torsion, aerodynamic center, VTOL considerations, and load-case plotting for hover, cruise, and VTOL. (commits: ced6779008214fa03f1df5eba2e217f1bbb49e4e; aee4415880464550bf066b326501da8a1d78973d; 07774cdaed276ca9d3dff9676efd3395fb98828a; df71f77763c139452e2479792f50859ceec08feb; e67912067905911669000b421950f6e18e2d22f3; 61cd9b0b716af3cad7c6f40a09720814c5191fad; 4ce24c83ffbceeae7282ec387e79e0d64a6d05b2; a9f69ca43947147a99da8964c263238ae5cef588; 4a38ca1941829c915df48a7c18e4c705628a9f6a; 2c27dbb6a035a4fc1abdd49b34ed6000995217df; d3c37218a62a52d85014d27cc53f0762dacab7cd) - Wing Section Analysis Plotting Bug Fixes: fixed plotting issues and enhanced bending stress visualization; clarified load/torsion-related comments and stabilized stress plots. (commits: 2132392aad866c44fabecc82921de85c5b1eb726; 55b1c02278ea009f14e9a15859956666ef6c5589) Major bugs fixed: - Wing Section Analysis Plotting issues resolved, leading to clearer bending stress visualization and stabilized stress plots across load cases. Overall impact and accomplishments: - Strengthened design confidence through accurate battery sizing, refined propulsion inputs, and robust wing-section analytics, enabling faster design iterations and better lifecycle decisions. - Improved data visualization and analysis reliability for critical flight regimes (hover, cruise, VTOL), supporting safer, more optimized vehicle configurations. Technologies/skills demonstrated: - Python data modeling and numerical methods for energy and propulsion calculations - Data handling, visualization, and plotting for aerostructure analyses - Unit normalization, constants management, and parameter refinement for simulation fidelity - Technical communication and traceability through commit-level documentation
June 2025
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 - FreyavanApeldoorn/DSE-26: Delivered Battery Mass Estimation Enhancements to improve energy planning accuracy and system safety. Implemented a robust quadratic battery power estimation pathway with checks for negative discriminants and a reliable fallback, along with a new computeRequiredBatteryMass function that calculates required battery mass from energy requirements, depth of discharge, efficiency, and maximum battery fraction. Added comprehensive error handling for impossible energy inputs. These changes reduce mass estimation risk, support mission viability, and enable more efficient system sizing.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 - FreyavanApeldoorn/DSE-26: Delivered Battery Mass Estimation Enhancements to improve energy planning accuracy and system safety. Implemented a robust quadratic battery power estimation pathway with checks for negative discriminants and a reliable fallback, along with a new computeRequiredBatteryMass function that calculates required battery mass from energy requirements, depth of discharge, efficiency, and maximum battery fraction. Added comprehensive error handling for impossible energy inputs. These changes reduce mass estimation risk, support mission viability, and enable more efficient system sizing.
Activity
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Quality Metrics
Correctness79.4%
Maintainability81.0%
Architecture70.6%
Performance66.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AerodynamicsAerospace EngineeringBattery ModelingBattery SystemsCFD AnalysisConfiguration ManagementData AnalysisData ProcessingData VisualizationEngineering AnalysisEngineering CalculationsFile HandlingFinite Element AnalysisMatplotlibNumerical Computation
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