Al-Saadi, T., Rossiter, J.A. orcid.org/0000-0002-1336-0633 and Panoutsos, G. (2022) Fuzzy logic control in metal additive manufacturing: a literature review and case study. In: Poulin, É., (ed.) IFAC-PapersOnLine. 19th IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing (MMM 2022), 15-18 Aug 2022, Montreal, Canada. Elsevier , pp. 37-42.
Abstract
Since the development of the Fuzzy Logic theory by Zadah (1965), motivated by the human-level understanding of systems for the development of computational and mathematical frameworks, it has become an active research field for a broad spectrum of research in academia and the industry, from systems modelling to systems monitoring and control. In this research, the authors intend to highlight the use of Fuzzy Logic theory in metal additive manufacturing processes. The modelling of such processes has a lot of uncertainties due to the large underlying physics during the operation, which makes the Fuzzy Logic Controller a promising tool to deal with such a process. This work will provide a survey of the previous efforts and a case study to illustrate the approach's effectiveness in such a complex manufacturing technique.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | metallic additive manufacturing; laser powder bed fusion; control; fuzzy logic |
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) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/P006566/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 May 2022 08:36 |
Last Modified: | 05 Dec 2022 16:50 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.ifacol.2022.09.240 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:186205 |