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Knowledge-based future combat aircraft optimization
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-1301-7931
USP, São Carlos, Brazil.
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2315-0680
2016 (English)In: 30th Congress of the International Council of the AeronauticalSciences (ICAS 2016), Bonn: International Council of Aeronautical Sciences (ICAS) , 2016, Vol. 1, 273-280 p.Conference paper, Published paper (Refereed)
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

Place, publisher, year, edition, pages
Bonn: International Council of Aeronautical Sciences (ICAS) , 2016. Vol. 1, 273-280 p.
Keyword [en]
Knowledge Based, Combat aircraft, Conceptual Design, Optimization
National Category
Aerospace Engineering Vehicle Engineering Applied Mechanics Energy Engineering
Identifiers
URN: urn:nbn:se:liu:diva-137644ISBN: 978-1-5108-3455-2 (print)OAI: oai:DiVA.org:liu-137644DiVA: diva2:1097972
Conference
30th Congress of the International Council of the Aeronautical Sciences, Daejeon, South Korea, 25-30 September 2016.
Projects
NFFP5/NFFP6
Available from: 2017-05-23 Created: 2017-05-23 Last updated: 2017-06-02Bibliographically approved
In thesis
1. Knowledge-Based Integrated Aircraft Design: An Applied Approach from Design to Concept Demonstration
Open this publication in new window or tab >>Knowledge-Based Integrated Aircraft Design: An Applied Approach from Design to Concept Demonstration
2017 (English)Doctoral thesis, comprehensive summary (Other academic)
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

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2017. 72 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1853
National Category
Aerospace Engineering Human Computer Interaction Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-137646 (URN)10.3384/diss.diva-137646 (DOI)978-91-7685-520-1 (ISBN)
Public defence
2017-08-31, C3, C-huset, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2017-05-23 Created: 2017-05-23 Last updated: 2017-08-31Bibliographically approved

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http://www.icas.org/ICAS_ARCHIVE/ICAS2016/data/papers/2016_0538_paper.pdf

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