Soto, C., Sims, N.D., Ozturk, E. et al. (1 more author) (2024) Unsupported machining fixture layout optimisation. In: Journal of Physics: Conference Series. XII International Conference on Structural Dynamics, 03-05 Jul 2023, Delft, Netherlands. IOP Publishing
Abstract
It is well established that excessive vibrations in machining operations hinder productivity and quality of the components being made. In these environments it is common to encounter self-excited vibrations due to the dynamic response characteristics of the cutting tool and workpiece; referred to as regenerative chatter. To suppress these effects, conventional practices provide the workpiece with as much support as possible and therefore commonly require custom-built fixturing bases and several manual intervention stages. In contrast, for modern reduced fixturing approaches, the workpiece is minimally-held, with the benefits of reduced setup times, lower fixturing and inventory costs, and improved access to the workpiece thereby avoiding multi-stage setups. However, minimal fixturing reduces support of the workpiece, and so vibration becomes a greater challenge, along with the subsequent detrimental effects to part quality and material removal rate (mrr). This paper sets out to determine an optimisation methodology for layout configurations that maximise milling depths of cut whilst achieving dynamic stability; by means of FEA model-based simulations and particle swarm optimisation (pso) methods. The optimisation algorithm is then tested on simplified setups and compared to exhaustive searches. It is shown that optimal results can differ from standard practice, and despite the comparative reduction in workpiece stiffness to a traditional approach is mostly unavoidable, careful placement of workholding elements can reportedly improve cutting conditions and increase dynamic stability within an unsupported environment.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 Published under licence by IOP Publishing Ltd. Content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence (https://creativecommons.org/licenses/by/4.0/). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 03 Jul 2024 14:01 |
Last Modified: | 03 Jul 2024 14:01 |
Status: | Published |
Publisher: | IOP Publishing |
Refereed: | Yes |
Identification Number: | 10.1088/1742-6596/2647/2/022006 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:214241 |
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