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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Moerland, Erwin
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (16/16 displayed)
- 2022Multidisziplinärer Gesamtentwurf, Analyse und Bewertung am Beispiel des DLR Future Fighter Demonstrators im DLR Projekt Diabolo
- 2022A semantic knowledge based engineering framework for the rapid generation of novel air vehicle configurations
- 2021A knowledge-based methodology for the initiation of military aircraft configurationscitations
- 2020Recent Advances in Establishing a Common Language for Aircraft Design with CPACS
- 2019Distributed Multidisciplinary Optimization and Collaborative Process Development using RCEcitations
- 2018Development of a Modular Knowledge-Based Model Generator for the Preliminary Aircraft Design Process of the Futurecitations
- 2017ERGEBNISSE DES FLUGZEUGVORENTWURFSPROJEKTS “FREACS” (FUTURE ENHANCED AIRCRAFT CONFIGURATIONS)
- 2016The collaborative engineer: How education can bring forth the next generation of engineers
- 2016The expected impact from the introduction of a new Strut-Braced Wing aircraft configuration on global air traffic emissions and climate – results from the WeCare project
- 2015ANALYSIS OF AIRCRAFT CONFIGURATIONS INCLUDING PROPAGATED UNCERTAINTIES
- 2014New Methodology to Explore the Role of Visualisation in Aircraft Design Tasks: An Empirical Studycitations
- 2014AIRCRAFT CONFIGURATION ANALYSIS USING A LOW-FIDELITY, PHYSICS BASED AEROSPACE FRAMEWORK UNDER UNCERTAINTY CONSIDERATIONS
- 2013Collaborative understanding of disciplinary correlations using a low-fidelity physics based aerospace toolkit
- 2013Empirical performance evaluation in collaborative aircraft design tasks
- 2012Application of a Distributed MDAO Framework to the Design of a Short- to Medium-Range Aircraft
- 2012An Integrated Laboratory for Collaborative Design in the Air Transportation Systemcitations
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conferencepaper
A semantic knowledge based engineering framework for the rapid generation of novel air vehicle configurations
Abstract
The demands posed on modern aircraft design encourages research into new tools and methodologies that allow the rapid generation of digital prototypes which can represent fundamentally different configurations. High-level design decisions are generally made within the conceptual design phase and require a solid understanding of the technology impacts on the overall aircraft system. This paper presents a recently developed, novel knowledge-based engineering framework, which allows for the transparent digitization of conceptual design knowledge and its interconnection using semantic-web technologies. It focuses on describing an effective structure for capturing and storing the expert’s knowledge and on the procedures required to analyse and solve the resulting complex system. By flexibly recombining the knowledge patterns concerning e.g. different propulsion architectures or lifting-surface configurations, the resulting system provides a significantly reduced effort to generate fundamentally different air vehicle configuration prototypes and allows for covering the vast design space typically considered during the conceptual design phase. The discussion is supported by examples for the automated creation of multi-trapezoidal lifting surfaces and the creation of different combat air vehicles architectures starting from the same knowledge base.
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