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Knowledge-based future combat aircraft optimization
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Fluida och mekatroniska system. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-1301-7931
USP, São Carlos, Brazil.
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Fluida och mekatroniska system. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för ekonomisk och industriell utveckling, Fluida och mekatroniska system. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-2315-0680
2016 (engelsk)Inngår i: 30th Congress of the International Council of the AeronauticalSciences (ICAS 2016), Bonn: International Council of Aeronautical Sciences (ICAS) , 2016, Vol. 1, s. 273-280Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Future combat aircraft inherently conceal all the components internally essentially for stealth reasons. The geometry is optimized for subsonic and supersonic flight area distribution and the components and payload to be fitted inside the aircraft. The basic requirements to accomplish are fuel consumption, mission profile, and military performance. Analytical methods comprise of a quick aerodynamic and structural optimization. The result obtained is then compared with multi-fidelity aero-structural analysis

sted, utgiver, år, opplag, sider
Bonn: International Council of Aeronautical Sciences (ICAS) , 2016. Vol. 1, s. 273-280
Emneord [en]
Knowledge Based, Combat aircraft, Conceptual Design, Optimization
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-137644ISBN: 978-1-5108-3455-2 (tryckt)OAI: oai:DiVA.org:liu-137644DiVA, id: diva2:1097972
Konferanse
30th Congress of the International Council of the Aeronautical Sciences, Daejeon, South Korea, 25-30 September 2016.
Prosjekter
NFFP5/NFFP6Tilgjengelig fra: 2017-05-23 Laget: 2017-05-23 Sist oppdatert: 2017-06-02bibliografisk kontrollert
Inngår i avhandling
1. Knowledge-Based Integrated Aircraft Design: An Applied Approach from Design to Concept Demonstration
Åpne denne publikasjonen i ny fane eller vindu >>Knowledge-Based Integrated Aircraft Design: An Applied Approach from Design to Concept Demonstration
2017 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
Abstract [en]

The design and development of new aircraft are becoming increasingly expensive and timeconsuming. To assist the design process in reducing the development cost, time, and late design changes, the conceptual design needs enhancement using new tools and methods. Integration of several disciplines in the conceptual design as one entity enables to keep the design process intact at every step and obtain a high understanding of the aircraft concepts at early stages.

This thesis presents a Knowledge-Based Engineering (KBE) approach and integration of several disciplines in a holistic approach for use in aircraft conceptual design. KBE allows the reuse of obtained aircrafts’ data, information, and knowledge to gain more awareness and a better understanding of the concept under consideration at early stages of design. For this purpose, Knowledge-Based (KB) methodologies are investigated for enhanced geometrical representation and enable variable fidelity tools and Multidisciplinary Design Optimization (MDO). The geometry parameterization techniques are qualitative approaches that produce quantitative results in terms of both robustness and flexibility of the design parameterization. The information/parameters from all tools/disciplines and the design intent of the generated concepts are saved and shared via a central database.

The integrated framework facilitates multi-fidelity analysis, combining low-fidelity models with high-fidelity models for a quick estimation, enabling a rapid analysis and enhancing the time for a MDO process. The geometry is further propagated to other disciplines [Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA)] for analysis. This is possible with an automated streamlined process (for CFD, FEM, system simulation) to analyze and increase knowledge early in the design process. Several processes were studied to streamline the geometry for CFD. Two working practices, one for parametric geometry and another for KB geometry are presented for automatic mesh generation.

It is observed that analytical methods provide quicker weight estimation of the design and when coupled with KBE provide a better understanding. Integration of 1-D and 3-D models offers the best of both models: faster simulation, and superior geometrical representation. To validate both the framework and concepts generated from the tools, they are implemented in academia in several courses at Linköping University and in industry

sted, utgiver, år, opplag, sider
Linköping: Linköping University Electronic Press, 2017. s. 72
Serie
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1853
HSV kategori
Identifikatorer
urn:nbn:se:liu:diva-137646 (URN)10.3384/diss.diva-137646 (DOI)978-91-7685-520-1 (ISBN)
Disputas
2017-08-31, C3, C-huset, Campus Valla, Linköping, 10:15 (engelsk)
Opponent
Veileder
Tilgjengelig fra: 2017-05-23 Laget: 2017-05-23 Sist oppdatert: 2019-10-11bibliografisk kontrollert

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