
Adrien Esmiol developed and refined core simulation pipelines for the sofia-ys/Aircraft-Design repository, focusing on enhancing the accuracy and traceability of wing structural and aerodynamic analyses. He expanded the wing structural analysis with new shear and bending modules, implemented robust data ordering, and introduced plotting for validation. Using Python and data visualization techniques, Adrien also corrected and updated XFLR5 aerodynamic outputs, ensuring alignment between simulation and physical expectations. His work integrated structural and aerodynamic data, improving end-to-end consistency and enabling faster design iteration. The depth of his contributions reflects strong engineering simulation and data processing skills applied to real-world design challenges.

Month: 2024-11 | Repository: sofia-ys/Aircraft-Design Overview: In November 2024, two key work streams were delivered to strengthen the reliability and fidelity of wing design simulations. The Wing Structural Analysis pipeline was expanded with new shear and bending modules, plotting capabilities, and refactoring to ensure correct data ordering and accurate integration. The Wing Aerodynamic Data refinement included updating data for the main wing and correcting XFLR5 outputs to reflect updated Beta, Phi, CL, Cd, Cl, Cm, XCP, YCP, ZCP and corresponding bending. These changes improve simulation fidelity, enable faster iteration, and provide stronger support for design decisions. Key outcomes include improved data integrity, end-to-end traceability between structural and aerodynamic analyses, and better alignment with physical testing expectations. Technologies/skills demonstrated: Python-based analysis pipelines, data processing and transformation, visualization/plotting, refactoring for modular architecture, and XFLR5 data integration.
Month: 2024-11 | Repository: sofia-ys/Aircraft-Design Overview: In November 2024, two key work streams were delivered to strengthen the reliability and fidelity of wing design simulations. The Wing Structural Analysis pipeline was expanded with new shear and bending modules, plotting capabilities, and refactoring to ensure correct data ordering and accurate integration. The Wing Aerodynamic Data refinement included updating data for the main wing and correcting XFLR5 outputs to reflect updated Beta, Phi, CL, Cd, Cl, Cm, XCP, YCP, ZCP and corresponding bending. These changes improve simulation fidelity, enable faster iteration, and provide stronger support for design decisions. Key outcomes include improved data integrity, end-to-end traceability between structural and aerodynamic analyses, and better alignment with physical testing expectations. Technologies/skills demonstrated: Python-based analysis pipelines, data processing and transformation, visualization/plotting, refactoring for modular architecture, and XFLR5 data integration.
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