Salomon, S., Avigad, G., Purshouse, R.C. et al. (1 more author) (2015) Gearbox design for uncertain load requirements using active robust optimization. Engineering Optimization, 48 (4). pp. 652-671. ISSN 0305-215X
Abstract
Design and optimization of gear transmissions have been intensively studied, but surprisingly the robustness of the resulting optimal design to uncertain loads has never been considered. Active Robust (AR) optimization is a methodology to design products that attain robustness to uncertain or changing environmental conditions through adaptation. In this study the AR methodology is utilized to optimize the number of transmissions, as well as their gearing ratios, for an uncertain load demand. The problem is formulated as a bi-objective optimization problem where the objectives are to satisfy the load demand in the most energy efficient manner and to minimize production cost. The results show that this approach can find a set of robust designs, revealing a trade-off between energy efficiency and production cost. This can serve as a useful decision-making tool for the gearbox design process, as well as for other applications.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Taylor & Francis. This is an author produced version of a paper subsequently published in Engineering Optimization. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | gearbox design; adaptive design; multi-objective optimization; robust optimization; active robustness |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Oct 2015 18:47 |
Last Modified: | 20 Sep 2024 14:08 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/0305215X.2015.1031659 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:90730 |