A computational similarity-assisted multi-domain framework for conceptual engineering design
Doktorsavhandling, 2025

In this thesis, a set of methods are proposed for assisting design engineers in exploring trade-offs among performance, manufacturability, and sustainability, already during the early design phase. These methods were developed in close collaboration with a Swedish aerospace company to mitigate the risk of costly redesigns later in development. Among the challenges addressed is how to capture and evaluate the necessary information while there is still enough freedom to make changes to the design. Through the application of a new flexibility metric, discrete design spaces often found in the concept phase can rapidly be explored, in search of competitive and future-compatible concepts. Enhanced function-means modeling is deployed to capture system-level interactions, enabling pre-embodiment consideration of trade-offs among performance, manufacturability, and sustainability. Automatic geometry generation is used to generate large batches of design variants that can be evaluated through various simulations. Finally, similarity metrics are leveraged to assist designers in staying within the well-understood regions of the design space, thus avoiding some of the risk of new concept development. These methods have been implemented into a design software suite, enabling them to flexibly be adjusted for different needs, and to be utilized by both designers, academics, and students.

For the aviation industry, these contributions serve as proposals for how to explore and integrate new design concepts. This has, in recent times, become of increased importance due to the ongoing climate crisis, which necessitates rapid development of more sustainable propulsion alternatives. Consequently, an improved understanding of how to efficiently integrate new technology is paramount.

similarity metrics

design support

aero-engine structures

design space exploration

aerospace

engineering design

Virtual Development Lab, Chalmers Tvärgata 4C

Författare

Julian Martinsson Bonde

Chalmers, Industri- och materialvetenskap, Produktutveckling

Exploring the Potential of Digital Twin-Driven Design of Aero-Engine Structures

Proceedings of the Design Society,;Vol. 1(2021)p. 1521-1528

Paper i proceeding

A similarity-assisted multi-fidelity approach to conceptual design space exploration

Computers in Industry,;Vol. 151(2023)

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Ämneskategorier (SSIF 2025)

Maskinteknik

ISBN

978-91-8103-203-1

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5661

Utgivare

Chalmers

Virtual Development Lab, Chalmers Tvärgata 4C

Mer information

Senast uppdaterat

2025-03-21