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Design-in-context: exploiting the increasing accessibility of global FE models to improve the mechanical design process of engineering subsystems

Design-in-context: exploiting the increasing accessibility of global FE models to improve the mechanical design process of engineering subsystems
Design-in-context: exploiting the increasing accessibility of global FE models to improve the mechanical design process of engineering subsystems
The established component structural design process is based on evaluations of high fidelity FE models of the local structure while incorporating estimates of the structural behaviour of the rest of the engine in the form of free body loads and displacements. However, these boundary conditions become invalid once a design change is made, and to update them involves a lengthy validation procedure where a coarse mesh of the proposed component design is generated and subsequently integrated into a low fidelity model of the whole engine. In the present work, the existing component design process is improved through a combination of exploiting new finite element modelling technologies, a resourceful use of multi-fidelity surrogate modelling methods, and taking concepts from concurrent design methods, to develop a set of reliable and efficient distributed design strategies. A novel component design-in-context method is proposed to enable components to design directly with respect to physical constraints in the residual system using information from embedded global FE models. The method is found to reduce the degree of system-level infeasibility for an engine component that is designed in isolation by up to 2.7%, with only a moderate 11% increase in simulation cost. A novel safe integration method which is based on a system-level surrogate model augmented with a confidence level is also developed. The method is able to maintain high system level feasibility when multiple component design-in-context workflows are carried out concurrently, reducing the probability of rework by as much as 5%.
University of Southampton
Yong, Hau Kit
47dace32-a052-46b8-a720-05cee3bd7c8b
Yong, Hau Kit
47dace32-a052-46b8-a720-05cee3bd7c8b
Toal, David
dc67543d-69d2-4f27-a469-42195fa31a68

Yong, Hau Kit (2021) Design-in-context: exploiting the increasing accessibility of global FE models to improve the mechanical design process of engineering subsystems. University of Southampton, Doctoral Thesis, 123pp.

Record type: Thesis (Doctoral)

Abstract

The established component structural design process is based on evaluations of high fidelity FE models of the local structure while incorporating estimates of the structural behaviour of the rest of the engine in the form of free body loads and displacements. However, these boundary conditions become invalid once a design change is made, and to update them involves a lengthy validation procedure where a coarse mesh of the proposed component design is generated and subsequently integrated into a low fidelity model of the whole engine. In the present work, the existing component design process is improved through a combination of exploiting new finite element modelling technologies, a resourceful use of multi-fidelity surrogate modelling methods, and taking concepts from concurrent design methods, to develop a set of reliable and efficient distributed design strategies. A novel component design-in-context method is proposed to enable components to design directly with respect to physical constraints in the residual system using information from embedded global FE models. The method is found to reduce the degree of system-level infeasibility for an engine component that is designed in isolation by up to 2.7%, with only a moderate 11% increase in simulation cost. A novel safe integration method which is based on a system-level surrogate model augmented with a confidence level is also developed. The method is able to maintain high system level feasibility when multiple component design-in-context workflows are carried out concurrently, reducing the probability of rework by as much as 5%.

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Submitted date: May 2021

Identifiers

Local EPrints ID: 456193
URI: http://eprints.soton.ac.uk/id/eprint/456193
PURE UUID: 3a136e5c-913e-476c-9419-92d6d7ae6327
ORCID for David Toal: ORCID iD orcid.org/0000-0002-2203-0302

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Date deposited: 26 Apr 2022 16:44
Last modified: 10 Apr 2024 04:02

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Contributors

Author: Hau Kit Yong
Thesis advisor: David Toal ORCID iD

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