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Outputs (87)

Decarbonising our transport system: Vehicle use behaviour analysis to assess the potential of transitioning to electric mobility (2020)
Presentation / Conference Contribution
Waldron, J., Rodrigues, L., Gillott, M., Naylor, S., & Shipman, R. (2020). Decarbonising our transport system: Vehicle use behaviour analysis to assess the potential of transitioning to electric mobility. In J. Rodríguez Álvarez, & J. C. Soares Gonçalves (Eds.), Planning Post Carbon Cities: 35th PLEA Conference on Passive and Low Energy Architecture, A Coruña, 1st-3rd September 2020: Proceedings (689-694). https://doi.org/10.17979/spudc.9788497497947

The transport sector is responsible for over 20% of the global carbon emissions. One of the strategies to reduce its impact includes transitioning to electric vehicles (EV). However, this represents several challenges to existing cities, such as the... Read More about Decarbonising our transport system: Vehicle use behaviour analysis to assess the potential of transitioning to electric mobility.

Optimized Magnet wire size and Slot winding height for minimum AC losses in a Traction Machine (2020)
Presentation / Conference Contribution
Bardalai, A., Gerada, D., Xu, Z., & Gerada, C. (2020). Optimized Magnet wire size and Slot winding height for minimum AC losses in a Traction Machine. In 2020 International Conference on Electrical Machines (ICEM) (266-271). https://doi.org/10.1109/ICEM49940.2020.9270762

The demand for high performance electrical machines that combine high power density (kW/kg or kW/L), light – weighting and high efficiency have become more and more important in recent years. In these machines, mitigation of the parasitic losses asso... Read More about Optimized Magnet wire size and Slot winding height for minimum AC losses in a Traction Machine.

System condition monitoring through Bayesian change point detection using pump vibrations (2020)
Presentation / Conference Contribution
Tochev, E., Rengasamy, D., Pfifer, H., & Ratchev, S. (2020). System condition monitoring through Bayesian change point detection using pump vibrations. . https://doi.org/10.1109/CASE48305.2020.9216962

This paper presents a method for vibration analysis and a simple test bench analogue for the solder pumping system in an industrial wave-soldering machine at a Siemens factory. A common machine fault is caused by solder build-up within the pipes of t... Read More about System condition monitoring through Bayesian change point detection using pump vibrations.

Discovery of hemocompatible bacterial biofilm-resistant copolymers (2020)
Journal Article
Singh, T., Hook, A. L., Luckett, J., Maitz, M. F., Sperling, C., Werner, C., …Alexander, M. R. (2020). Discovery of hemocompatible bacterial biofilm-resistant copolymers. Biomaterials, 260, Article 120312. https://doi.org/10.1016/j.biomaterials.2020.120312

© 2020 The Authors Blood-contacting medical devices play an important role within healthcare and are required to be biocompatible, hemocompatible and resistant to microbial colonization. Here we describe a high throughput screen for copolymers with t... Read More about Discovery of hemocompatible bacterial biofilm-resistant copolymers.

Evolutionary Multiobjective Optimization of a System-Level Motor Drive Design (2020)
Journal Article
Cheong, B., Giangrande, P., Zhang, X., Galea, M., Zanchetta, P., & Wheeler, P. (2020). Evolutionary Multiobjective Optimization of a System-Level Motor Drive Design. IEEE Transactions on Industry Applications, 56(6), 6904-6913. https://doi.org/10.1109/tia.2020.3016630

The use of optimization algorithms to design motor drive components is increasingly common. To account for component interactions, complex system-level models with many input parameters and constraints are needed, along with advanced optimization tec... Read More about Evolutionary Multiobjective Optimization of a System-Level Motor Drive Design.

Dispersion and stability of colloidal boron carbide suspensions (2020)
Journal Article
Lakhdar, Y., Tuck, C., Terry, A., & Goodridge, R. (2020). Dispersion and stability of colloidal boron carbide suspensions. Ceramics International, 46(18, Part A), 27957-27966. https://doi.org/10.1016/j.ceramint.2020.07.289

The effects of several anionic, cationic and non-ionic polyelectrolyte dispersants on the stability and rheology of aqueous boron carbide (B4C) suspensions were investigated using zeta potential measurements, settling experiments, and rheological stu... Read More about Dispersion and stability of colloidal boron carbide suspensions.

On-machine focus variation measurement for micro-scale hybrid surface texture machining (2020)
Journal Article
Santoso, T., Syam, W. P., Darukumalli, S., Cai, Y., Helmli, F., Luo, X., & Leach, R. (2020). On-machine focus variation measurement for micro-scale hybrid surface texture machining. International Journal of Advanced Manufacturing Technology, 109(9-12), 2353–2364. https://doi.org/10.1007/s00170-020-05767-z

Fast and accurate in-line areal surface topography measuring instruments are required to control the quality of microscale manufactured components, without significantly slowing down the production process. Full-field areal optical surface topography... Read More about On-machine focus variation measurement for micro-scale hybrid surface texture machining.

An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities (2020)
Journal Article
Standen, P., Brown, D. J., Taheri, M., Galvez Trigo, M. J., Boulton, H., Burton, A., …Hortal, E. (2020). An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities. British Journal of Educational Technology, 51(5), 1748-1765. https://doi.org/10.1111/bjet.13010

Artificial intelligence tools for education (AIEd) have been used to automate the provision of learning support to mainstream learners. One of the most innovative approaches in this field is the use of data and machine learning for the detection of a... Read More about An evaluation of an adaptive learning system based on multimodal affect recognition for learners with intellectual disabilities.