Classifier systems can reduce conceptual design cycle time
Classifier systems can reduce conceptual design cycle time
Though very widely used in preliminary and detail design, commercial parametric CAD engines have not reached their full potential yet at the conceptual stage of industrial design processes. One possible reason is their lack of robustness when it comes to generating a wide variety of geometries, as demanded by the global nature of conceptual design. Such large, multi-dimensional design spaces often have regions of infeasibility, where the corresponding CAD models would lead to failure as early as the geometry generation process itself or as late as the final stages of some expensive multidisciplinary analysis process integrated into the concept design tool. In this paper we discuss the use of Radial Basis Function classifier systems as a means of mapping out infeasible regions of the design space. The ultimate aim is to equip the concept design tool with the ability to avoid such areas, thus saving time by reducing the number of failed simulations on unphysical or otherwise unsuitable candidate designs.
1-9
American Institute of Aeronautics and Astronautics
Sóbester, A.
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
2005
Sóbester, A.
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Sóbester, A. and Keane, A.J.
(2005)
Classifier systems can reduce conceptual design cycle time.
In Proceedings of the 1st International Conference on Innovation and Integration in Aerospace Sciences.
American Institute of Aeronautics and Astronautics.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Though very widely used in preliminary and detail design, commercial parametric CAD engines have not reached their full potential yet at the conceptual stage of industrial design processes. One possible reason is their lack of robustness when it comes to generating a wide variety of geometries, as demanded by the global nature of conceptual design. Such large, multi-dimensional design spaces often have regions of infeasibility, where the corresponding CAD models would lead to failure as early as the geometry generation process itself or as late as the final stages of some expensive multidisciplinary analysis process integrated into the concept design tool. In this paper we discuss the use of Radial Basis Function classifier systems as a means of mapping out infeasible regions of the design space. The ultimate aim is to equip the concept design tool with the ability to avoid such areas, thus saving time by reducing the number of failed simulations on unphysical or otherwise unsuitable candidate designs.
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Published date: 2005
Venue - Dates:
1st International Conference on Innovation and Integration in Aerospace Sciences, Belfast, Northern Ireland UK, 2005-08-04 - 2005-08-05
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Local EPrints ID: 23362
URI: http://eprints.soton.ac.uk/id/eprint/23362
PURE UUID: 90274ab3-c5f8-4b52-907a-887dfbf7d1f3
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Date deposited: 28 Mar 2006
Last modified: 16 Mar 2024 03:26
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