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Effects of mechanical non-linearity on the dynamic behaviour of ring-based inertial rate sensors (2019)
Presentation / Conference Contribution
Popov, A. A., Napoli, V. D., & McWilliam, S. (2019, September). Effects of mechanical non-linearity on the dynamic behaviour of ring-based inertial rate sensors. Presented at 41st International Conference on Vibroengineering, Leipzig, Germany

© 2019 Violetta Di Napoli, et al. This paper presents a mathematical model to describe the 2 in-plane response of supported ring-based MEMS Coriolis Vibrating Gyroscopes (CVGs), including mechanical non-linearity in ring and support structures. Whils... Read More about Effects of mechanical non-linearity on the dynamic behaviour of ring-based inertial rate sensors.

Experimental investigation of tar arresting techniques and their evaluation for product syngas cleaning from bubbling fluidized bed gasifier (2019)
Journal Article
Hai, I. U., Sher, F., Zarren, G., & Liu, H. (2019). Experimental investigation of tar arresting techniques and their evaluation for product syngas cleaning from bubbling fluidized bed gasifier. Journal of Cleaner Production, 240, Article 118239. https://doi.org/10.1016/j.jclepro.2019.118239

© 2019 Elsevier Ltd Hazardous waste products along with the syngas produced from biomass gasification are one of the major problems of today world. Tar and other solid contaminants removal from syngas are necessary as it is widely used for the produc... Read More about Experimental investigation of tar arresting techniques and their evaluation for product syngas cleaning from bubbling fluidized bed gasifier.

Thermal Barrier for High-Voltage Permanent Magnet Synchronous Motor with Air-cooling Hybrid Ventilation Systems (2019)
Presentation / Conference Contribution
Zhang, X., Zhang, H., Li, W., Gerada, C., Gerada, D., & Li, J. (2019, August). Thermal Barrier for High-Voltage Permanent Magnet Synchronous Motor with Air-cooling Hybrid Ventilation Systems. Presented at 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China

This paper addresses the thermal network improvement in a 315 kW high-voltage solid rotor permanent magnet synchronous motor, with a hybrid air-cooling system, by the proposed thermal barrier. The multi-coupled fields, as electromagnetic fields, flui... Read More about Thermal Barrier for High-Voltage Permanent Magnet Synchronous Motor with Air-cooling Hybrid Ventilation Systems.

A Power Generation Center with Back-to-back Converter Considering Post-fault Operation for MEA Application (2019)
Presentation / Conference Contribution
Lang, X., Yang, T., Enalou, H. B., Wheeler, P., & Bozhko, S. (2019, August). A Power Generation Center with Back-to-back Converter Considering Post-fault Operation for MEA Application. Presented at 2019 22nd International Conference on Electrical Machines and Systems (ICEMS), Harbin, China

This paper proposes a new power generation centre (PGC) for the engine of more electric aircraft (MEA) application. In this PGC, a starter/generator is connected to the high-pressure (HP) spool to start the engine in the start process and generate el... Read More about A Power Generation Center with Back-to-back Converter Considering Post-fault Operation for MEA Application.

Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors (2019)
Presentation / Conference Contribution
Panagiotou, P. A., Arvanitakis, I., Lophitis, N., & Gyftakis, K. N. (2019, August). Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors. Presented at 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Toulouse, France

This work expands the classical current signature analysis in induction machines in a two-stage spectral decomposition manner. The proposed methodology can be summarized in two main steps: initially, the current signals are analyzed using a time freq... Read More about Frequency Extraction of Current Signal Spectral Components: A New Tool for the Detection of Rotor Electrical Faults in Induction Motors.

On the robustness of ultra-high voltage 4H-SiC IGBTs with an optimized retrograde p-well (2019)
Presentation / Conference Contribution
Tiwari, A. K., Perkins, S., Lophitis, N., Antoniou, M., Trajkovic, T., & Udrea, F. (2019, August). On the robustness of ultra-high voltage 4H-SiC IGBTs with an optimized retrograde p-well. Presented at 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Toulouse, France

The robustness of ultra-high voltage (>10kV) SiC IGBTs comprising of an optimized retrograde p-well is investigated. Under extensive TCAD simulations, we show that in addition to offering a robust control on threshold voltage and eliminating punch-th... Read More about On the robustness of ultra-high voltage 4H-SiC IGBTs with an optimized retrograde p-well.

Viable 3C-SiC-on-Si MOSFET design disrupting current Material Technology Limitations (2019)
Presentation / Conference Contribution
Arvanitopoulos, A., Antoniou, M., Li, F., Jennings, M. R., Perkins, S., Gyftakis, K. N., & Lophitis, N. (2019, August). Viable 3C-SiC-on-Si MOSFET design disrupting current Material Technology Limitations. Presented at 2019 IEEE 12th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), Toulouse, France

The cubic polytype (3C-) of Silicon Carbide (SiC) is an emerging semiconductor technology for power devices. The featured isotropic material properties along with the Wide Band Gap (WBG) characteristics make it an excellent choice for power Metal Oxi... Read More about Viable 3C-SiC-on-Si MOSFET design disrupting current Material Technology Limitations.

Real-Time Price Elasticity Reinforcement Learning for Low Carbon Energy Hub Scheduling Based on Conditional Random Field (2019)
Presentation / Conference Contribution
Hua, W., You, M., & Sun, H. (2019, August). Real-Time Price Elasticity Reinforcement Learning for Low Carbon Energy Hub Scheduling Based on Conditional Random Field. Presented at 2019 IEEE/CIC International Conference on Communications Workshops in China (ICCC Workshops), Changchun, China

Energy hub scheduling plays a vital role in optimally integrating multiple energy vectors, e.g., electricity and gas, to meet both heat and electricity demand. A scalable scheduling model is needed to adapt to various energy sources and operating con... Read More about Real-Time Price Elasticity Reinforcement Learning for Low Carbon Energy Hub Scheduling Based on Conditional Random Field.

Upward interfacial friction factor in gas and high-viscosity liquid flows in vertical pipes (2019)
Journal Article
Liao, R., Ribeiro, J. X. F., Aliyu, A. M., & Liu, Z. (2019). Upward interfacial friction factor in gas and high-viscosity liquid flows in vertical pipes. Chemical Engineering Communications, 207(9), 1234-1263. https://doi.org/10.1080/00986445.2019.1647180

In this study, experiments were carried out in a vertical 60-mm internal diameter pipe with air and oil (viscosities 100–330 mPa s) constituting the gas and liquid phases. Superficial air and oil velocity ranges used were 9.81–59.06 m/s and 0.024–0.... Read More about Upward interfacial friction factor in gas and high-viscosity liquid flows in vertical pipes.