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A whole engine optimization based on medial object transformations

A whole engine optimization based on medial object transformations
A whole engine optimization based on medial object transformations
This paper presents, for the first time, an automated process to optimize a whole engine assembly model using medial object transformations. Five new techniques have been developed to accelerate the generation and assembly of medial meshes. Firstly, geometry surfaces leading to medial mesh branches are automatically identified and removed. This branch-reduced medial mesh takes less time to calculate and represents the original geometry more accurately. Secondly, mesh coarsening technique is developed to reduce the medial mesh element count by up to 90%. Thirdly, new methods which permit the splitting of the original CAD geometry and the rejoining of medial mesh sections are developed. This permits the medial mesh generation to be parallelized by taking advantage of symmetric and axisymmetric features within the geometry. Fourthly, the joints between multiple engine components are created automatically from a database of medial meshes and full fidelity 3D meshes thereby enabling the seamless generation of mixed fidelity (2D and 3D element) models. Finally, boundary conditions are automatically mapped from the CAD geometry onto both medial and 3D meshes. Together these developments make the structural optimization of a whole engine possible at the preliminary design stage. The presented optimization work has been focused on the compressor tip clearance control based on Kriging model but the developed process can be easily applied to other part of the engine and adopting other optimization algorithms.
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Toal, David J.J.
dc67543d-69d2-4f27-a469-42195fa31a68
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Stanley, Felix
1132f965-08d3-4c98-8b6d-2b82a64e92f5
Wang, Leran
91d2f4ca-ed47-4e47-adff-70fef3874564
Toal, David J.J.
dc67543d-69d2-4f27-a469-42195fa31a68
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Stanley, Felix
1132f965-08d3-4c98-8b6d-2b82a64e92f5

Wang, Leran, Toal, David J.J., Keane, Andy J. and Stanley, Felix (2017) A whole engine optimization based on medial object transformations. 27th ISABE Conference, , Manchester, United Kingdom. 03 - 08 Sep 2017. 11 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper presents, for the first time, an automated process to optimize a whole engine assembly model using medial object transformations. Five new techniques have been developed to accelerate the generation and assembly of medial meshes. Firstly, geometry surfaces leading to medial mesh branches are automatically identified and removed. This branch-reduced medial mesh takes less time to calculate and represents the original geometry more accurately. Secondly, mesh coarsening technique is developed to reduce the medial mesh element count by up to 90%. Thirdly, new methods which permit the splitting of the original CAD geometry and the rejoining of medial mesh sections are developed. This permits the medial mesh generation to be parallelized by taking advantage of symmetric and axisymmetric features within the geometry. Fourthly, the joints between multiple engine components are created automatically from a database of medial meshes and full fidelity 3D meshes thereby enabling the seamless generation of mixed fidelity (2D and 3D element) models. Finally, boundary conditions are automatically mapped from the CAD geometry onto both medial and 3D meshes. Together these developments make the structural optimization of a whole engine possible at the preliminary design stage. The presented optimization work has been focused on the compressor tip clearance control based on Kriging model but the developed process can be easily applied to other part of the engine and adopting other optimization algorithms.

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ISABE-2017-21441 - Accepted Manuscript
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Published date: 4 September 2017
Venue - Dates: 27th ISABE Conference, , Manchester, United Kingdom, 2017-09-03 - 2017-09-08

Identifiers

Local EPrints ID: 413784
URI: http://eprints.soton.ac.uk/id/eprint/413784
PURE UUID: 78d430c3-8839-4499-afd4-c7d2cb90232d
ORCID for David J.J. Toal: ORCID iD orcid.org/0000-0002-2203-0302
ORCID for Andy J. Keane: ORCID iD orcid.org/0000-0001-7993-1569

Catalogue record

Date deposited: 06 Sep 2017 16:31
Last modified: 16 Mar 2024 03:55

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Contributors

Author: Leran Wang
Author: David J.J. Toal ORCID iD
Author: Andy J. Keane ORCID iD
Author: Felix Stanley

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