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A probabilistic multi-fidelity aero-engine preliminary design optimization framework: technical and commercial perspectives

A probabilistic multi-fidelity aero-engine preliminary design optimization framework: technical and commercial perspectives
A probabilistic multi-fidelity aero-engine preliminary design optimization framework: technical and commercial perspectives
Conceptual and preliminary design phases of aerospace gas turbines compromise a particularly uncertain and challenging stage of their development. It is at these early design phases when the most critical and influential architectural decisions are made. The outcomes of those decisions have a direct impact on a multitude of the aero-engine design attributes such as performance, weight, specific fuel consumption and life-cycle cost - the factors directly influencing the economic value and market success of a prospective power system. Hence, the commercial success of a specific aero-engine and the technical aspects of the processes used in its design are strongly correlated. This work targets the examination of that relationship and presents a rationale for the development of an Integrated
Framework for Uncertainty Quantification and Multi-Objective Optimization. First, the commercial aspects of a typical aerospace design project are considered. Then, the top level structure of aero-engine design process is considered from the technical point of view. Finally, the top-level architecture of the framework is discussed and a brief update on the current development status of its implementation is presented.
1-14
Gramatyka, Jakub
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Eres, Hakki
b22e2d66-55c4-46d2-8ec3-46317033de43
Scanlan, James
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Moss, Michael
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Holloway, Peter
d2605942-bc85-4c0d-8273-79f09384585b
Bates, Ron
f3439cad-2150-43de-8513-d5fc90317be7
Gramatyka, Jakub
a3adf9fd-2c45-4388-ab73-42fe9a791d76
Eres, Hakki
b22e2d66-55c4-46d2-8ec3-46317033de43
Scanlan, James
7ad738f2-d732-423f-a322-31fa4695529d
Moss, Michael
4cc758f8-0e77-4a92-a953-79f76b4e69c0
Holloway, Peter
d2605942-bc85-4c0d-8273-79f09384585b
Bates, Ron
f3439cad-2150-43de-8513-d5fc90317be7

Gramatyka, Jakub, Eres, Hakki, Scanlan, James, Moss, Michael, Holloway, Peter and Bates, Ron (2016) A probabilistic multi-fidelity aero-engine preliminary design optimization framework: technical and commercial perspectives. 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Washington D.C., United States. 13 - 17 Jun 2016. pp. 1-14 . (doi:10.2514/6.2016-4289).

Record type: Conference or Workshop Item (Paper)

Abstract

Conceptual and preliminary design phases of aerospace gas turbines compromise a particularly uncertain and challenging stage of their development. It is at these early design phases when the most critical and influential architectural decisions are made. The outcomes of those decisions have a direct impact on a multitude of the aero-engine design attributes such as performance, weight, specific fuel consumption and life-cycle cost - the factors directly influencing the economic value and market success of a prospective power system. Hence, the commercial success of a specific aero-engine and the technical aspects of the processes used in its design are strongly correlated. This work targets the examination of that relationship and presents a rationale for the development of an Integrated
Framework for Uncertainty Quantification and Multi-Objective Optimization. First, the commercial aspects of a typical aerospace design project are considered. Then, the top level structure of aero-engine design process is considered from the technical point of view. Finally, the top-level architecture of the framework is discussed and a brief update on the current development status of its implementation is presented.

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Accepted/In Press date: 17 February 2016
e-pub ahead of print date: 10 June 2016
Published date: June 2016
Venue - Dates: 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Washington D.C., United States, 2016-06-13 - 2016-06-17
Organisations: Computational Engineering & Design Group

Identifiers

Local EPrints ID: 393984
URI: http://eprints.soton.ac.uk/id/eprint/393984
PURE UUID: f5ac837f-a5b9-4756-8cd3-afde5e4e8621
ORCID for Hakki Eres: ORCID iD orcid.org/0000-0003-4967-0833

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Date deposited: 03 Jun 2016 13:28
Last modified: 18 Feb 2021 17:00

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Contributors

Author: Jakub Gramatyka
Author: Hakki Eres ORCID iD
Author: James Scanlan
Author: Michael Moss
Author: Peter Holloway
Author: Ron Bates

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