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Application of a knowledge based design methodology to support fuselage panel design

Published online by Cambridge University Press:  03 February 2016

S. W. G. van der Elst ,
M. J. L. van Tooren ,
B. Vermeulen ,
C. L. Emberey  and
N. R. Milton
S. W. G. van der Elst
Affiliation:
[email protected], Delft University of Technology, Delft, The Netherlands
M. J. L. van Tooren
Affiliation:
[email protected], Delft University of Technology, Delft, The Netherlands
B. Vermeulen
Affiliation:
Fokker Aerostructures, Papendrecht, The Netherlands
C. L. Emberey
Affiliation:
Tacit Connexions, Wokingham, UK
N. R. Milton
Affiliation:
Tacit Connexions, Wokingham, UK
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Abstract

Knowledge is a vital component of engineering design. Computer systems enriched with logic and engineering knowledge can support engineering design by automating repetitive and time-consuming processes. This automation is enabled using knowledge based engineering (KBE) techniques and can be obtained using dedicated KBE systems or augmented CAD systems, already pervasive throughout engineering industry. The development of these KBE applications is supported by a six-phase development process ranging from engineering process analysis to software development to business implementation. Distinctions and similarities exploiting alternative KBE platforms are addressed for each phase of the development process. An example KBE application is discussed, supporting the design of laminate aircraft fuselage panels. The implementation of the application is emphasised and five key-aspects required for a successful implementation are defined.

Type
Research Article
Information
The Aeronautical Journal , Volume 114 , Issue 1159 , September 2010 , pp. 589 - 597
Copyright
Copyright © Royal Aeronautical Society 2010 

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References

1. National Science Board, The Science and Engineering Workforce, National Science Foundation, 2003.Google Scholar
2. Vines, J., Key Trends in the Professional Engineering Labor Market, National Engineering, Science and technical Skills Summit, 2007.Google Scholar
3. Drucker, P., Management challenges for the 21st century, Butterworth-Heinemann, 2001.Google Scholar
4. Van Tooren, M.J.L., Nawijn, M., Berends, J.P.T.J. and Schut, E.J., Aircraft Design Support using Knowledge Engineering and Optimisation Techniques, 46th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Austin, Texas, USA, 2005.Google Scholar
5. La Rocca, G. and Van Tooren, M.J.L., Enabling distributed multidisciplinary design of complex products: A knowledge based engineering approach, J Design Research, 5, (3), pp 333–352, Inderscience Enterprices Ltd, 2007.Google Scholar
6. Emberey, C.L., Milton, N.R., Berends, J.P.T.J., Van Tooren, M.J.L., Van der Elst, S.W.G. and Vermeulen, B., Application of Knowledge Engineering Methodologies to Support Engineering Design Application Development in Aerospace, 7th AIAA Aviation Technology, Integration and Operations Conference (ATIO), AIAA-2007-7708, Belfast, Ireland, 2007.Google Scholar
7. Van der Elst, S.W.G. and Van Tooren, M.J.L., Application of a Knowledge Engineering Process to Support Engineering Design Application Development, 15th ISPE International Conference on Concurrent Engineering, Belfast, Northern Ireland, 2008.Google Scholar
8. Milton, N., Knowledge technologies, Monza, Italy, Polimetrica, 2008.Google Scholar
9. PCPACK, Software package, version 1.4.4R, Release 5. Epistemics, Nottingham, UK, 2006.Google Scholar
10. Russel, S. and Norvig, P., Artificial Intelligence: A Modern Approach, 2nd ed, Prentice Hall, 2003.Google Scholar
11. Cooper, D. and La Rocca, G., Knowledge-based techniques for developing engineering applications in 21st Century, 7th AIAA Aviation Technology, Integration and Operations Conference (ATIO), AIAA 2007-7711, Belfast, Northern Ireland, UK. 2007.Google Scholar
12. Schreiber, G., Knowledge Engineering and Management, The CommonKADS Methodology, Springer, 1999.Google Scholar
13. Stokes, M, Managing Engineering Knowledge, MOKA: Methodology and Tools Oriented to Knowledge Based Engineering Applications, Professional Engineering Publishing Ltd, London, UK. 2001.Google Scholar
14. Van der Elst, S.W.G. and Van Tooren, M.J.L., Domain specific modelling languages to support model-driven engineering of aircraft systems, 8th AIAA Aviation Technology, Integration and Operations Conference (ATIO), Anchorage, Alaska, USA. 2008.Google Scholar
15. Berends, J.P.T.J., Van Tooren, M.J.L. and Schut, E.J., Design and implementation of a new generation multi-agent task environment framework, 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 4th AIAA Multidisciplinary Design Optimization Specialist Conference, AIAA-2008-2142, Schaumburg, IL, USA. 2008.Google Scholar
16. Vermeulen, B., Knowledge Based Method for Solving Complexity in Design Problems, Dissertation at Delft University of Technology, Delft, The Netherlands. 2007.Google Scholar
17. Van der Spek, R. and Kelleher, M., Knowledge management, reducing the costs of ignorance. www.dnv.com/services/consulting/knowledge_management/Publications Google Scholar
18. Vermeulen, B., Van Tooren, M.J.L. and Peeters, L.J.B., Knowledge based method for fibre metal laminate fuselage panels, International Design Engineering Technical Conference and Computer and Information in Engineering Conference (DETC/CIE 2005), Long Beach, California, USA. 2005.Google Scholar
19. Vlot, A. and Gunnink, J.W., Fibre Metal Laminates, an introduction, Kluwer Academic Publishers, Dordrecht, The Netherlands. 2001.Google Scholar