Rapid development of bespoke sensorcraft: a proposed design loop
Rapid development of bespoke sensorcraft: a proposed design loop
The ability to quickly fabricate sensorcraft, or other small unmanned aircraft, via additive manufacturing techniques opens a range of new possibilities for the design and optimization of these vehicles. In this paper we propose a design loop that makes use of surrogate modeling and additive manufacturing to reduce the design and optimization time of scientific sensorcraft. Additive manufacturing reduces the time and effort required to fabricate a complete aircraft, allowing design iterations to be quickly manufactured and flight tested. Co-Kriging surrogate models allow data collected from test flights to correct Kriging models trained with numerically simulated data. The resulting model provides physically accurate and computationally cheap aircraft performance predictions. A global optimizer is used to search this model to find an optimal design for a bespoke aircraft. This paper presents the design loop and the progress made in implementing this design loop. Results are shown from Kriging models trained using numerically simulated data. Progress towards extracting aerodynamic data from flight testing small unmanned aircraft is also documented.
Paulson, Christopher
264d154a-07d6-4272-aefc-e645c78878bd
Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Scanlan, James
7ad738f2-d732-423f-a322-31fa4695529d
5 January 2015
Paulson, Christopher
264d154a-07d6-4272-aefc-e645c78878bd
Sobester, Andras
096857b0-cad6-45ae-9ae6-e66b8cc5d81b
Scanlan, James
7ad738f2-d732-423f-a322-31fa4695529d
Paulson, Christopher, Sobester, Andras and Scanlan, James
(2015)
Rapid development of bespoke sensorcraft: a proposed design loop.
AIAA SciTech 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Kissimmee, United States.
05 - 09 Jan 2015.
20 pp
.
(doi:10.2514/6.2015-0135).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The ability to quickly fabricate sensorcraft, or other small unmanned aircraft, via additive manufacturing techniques opens a range of new possibilities for the design and optimization of these vehicles. In this paper we propose a design loop that makes use of surrogate modeling and additive manufacturing to reduce the design and optimization time of scientific sensorcraft. Additive manufacturing reduces the time and effort required to fabricate a complete aircraft, allowing design iterations to be quickly manufactured and flight tested. Co-Kriging surrogate models allow data collected from test flights to correct Kriging models trained with numerically simulated data. The resulting model provides physically accurate and computationally cheap aircraft performance predictions. A global optimizer is used to search this model to find an optimal design for a bespoke aircraft. This paper presents the design loop and the progress made in implementing this design loop. Results are shown from Kriging models trained using numerically simulated data. Progress towards extracting aerodynamic data from flight testing small unmanned aircraft is also documented.
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Published date: 5 January 2015
Venue - Dates:
AIAA SciTech 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Kissimmee, United States, 2015-01-05 - 2015-01-09
Organisations:
Computational Engineering & Design Group
Identifiers
Local EPrints ID: 374042
URI: http://eprints.soton.ac.uk/id/eprint/374042
PURE UUID: 53571a29-3070-4f76-9c2b-07731ed8fa72
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Date deposited: 09 Feb 2015 14:54
Last modified: 15 Mar 2024 03:13
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Author:
Christopher Paulson
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