Items where authors include "Farnsworth, M."
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Escudero-Ornelas, I.O. orcid.org/0000-0003-1852-450X, Tiwari, D., Farnsworth, M. et al. (1 more author) (2024) Modelling interdependencies in an electric motor manufacturing process using discrete event simulation. Journal of Simulation, 18 (4). pp. 604-625. ISSN 1747-7778
Tiwari, D., Miller, D. orcid.org/0000-0003-3409-2735, Farnsworth, M. orcid.org/0000-0003-4527-9984 et al. (3 more authors) (2023) Inspection of enamel removal using infrared thermal imaging and machine learning techniques. Sensors, 23 (8). 3977.
Farnsworth, M., Tiwari, D., Zhang, Z. et al. (2 more authors) (2022) Augmented classification for electrical coil winding defects. The International Journal of Advanced Manufacturing Technology, 119 (11-12). pp. 6949-6965. ISSN 0268-3768
Tiwari, D., Farnsworth, M., Zhang, Z. et al. (2 more authors) (2021) In-process monitoring in electrical machine manufacturing: A review of state of the art and future directions. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, 235 (13). pp. 2035-2051. ISSN 0954-4054
Oyekan, J., Farnsworth, M., Hutabarat, W. et al. (2 more authors) (2020) Applying a 6 DoF robotic arm and digital twin to automate fan-blade reconditioning for aerospace maintenance, repair, and overhaul. Sensors, 20 (16). 4637. ISSN 1424-8220
Liu, Y., Farnsworth, M. and Tiwari, A. (2018) Energy-efficient scheduling of flexible flow shop of composite recycling. International Journal of Advanced Manufacturing Technology, 97 (1-4). pp. 117-127. ISSN 0268-3768
McWilliam, R., Khan, S., Farnsworth, M. et al. (1 more author) (2018) Zero-maintenance of electronic systems: Perspectives, challenges, and opportunities. Microelectronics Reliability, 85. pp. 122-139. ISSN 0026-2714
Liu, Y., Farnsworth, M. and Tiwari, A. (2017) A review of optimisation techniques used in the composite recycling area: State-of-the-art and steps towards a research agenda. Journal of Cleaner Production, 140 (3). pp. 1775-1781. ISSN 0959-6526
Proceedings Paper
Miller, D. orcid.org/0000-0003-3409-2735, Song, B., Farnsworth, M. et al. (4 more authors) (2021) IoT and machine learning for in-situ process control using Laser Based Additive Manufacturing (LBAM) case study. In: Mourtzis, D., (ed.) Procedia CIRP. CIRP CMS 2021 - 54th CIRP Conference on Manufacturing Systems, 22-24 Sep 2021, Virtual conference. Elsevier BV , pp. 1813-1818.