Print Email Facebook Twitter A Framework for Collaborative Front-Loaded Design Space Exploration Title A Framework for Collaborative Front-Loaded Design Space Exploration: Improving collaboration across the aeronautical supply chain Author van der Werff, Daan (TU Delft Aerospace Engineering) Contributor la Rocca, G. (mentor) Hoogreef, M.F.M. (graduation committee) Zaaijer, M B (graduation committee) Beijer, B. (graduation committee) Degree granting institution Delft University of Technology Programme Aerospace Engineering Project DEFAINE Date 2023-12-14 Abstract In the conceptual design phase, OEMs perform technology assessment to identify feasible solutions for their new aircraft. When the OEM is unable to assess a certain technology themselves, they consult Tier-1 suppliers to involvethem in the design process. The suppliers have higher fidelity analysis tools that can help the OEM with their assessment, but the characteristics of such tools (e.g. high detail of input, computational time to execute) prevent an in-depth exploration of the design space. This thesis proposes a framework that enables a closer collaboration between the OEM and their supplier. The collaboration is streamlined through a web-based collaborative environment. Front-loading principles are applied to capitalise on existing data, reducing the efforts required by the supplier to service the OEM. The framework was successfully applied to an internally developed test case, and a use case within the ongoing collaborative research project DEFAINE, concerning the design of an aileron. Subject CollaborationFront-loadingDesign Space explorationSensitivity analysisSurrogate modelling To reference this document use: http://resolver.tudelft.nl/uuid:eef99d0e-b1a7-471c-ac64-b6fe693cd9fc Bibliographical note The research presented in this report has partially been performed in the framework of the DEFAINE (Design Exploration Framework based on AI for front-loaded Engineering) project and has received funding from ITEA 3 programme (Call 6 project 19009). Part of collection Student theses Document type master thesis Rights © 2023 Daan van der Werff Files PDF Thesis_report_Daan_van_de ... _Werff.pdf 13.09 MB Close viewer /islandora/object/uuid:eef99d0e-b1a7-471c-ac64-b6fe693cd9fc/datastream/OBJ/view