Outputs (6615)

Reduction of Torsional Vibrations Excited by Electromechanical Interactions in More Electric Systems (2021)
Journal Article
Ahumada, C., & Wheeler, P. (2021). Reduction of Torsional Vibrations Excited by Electromechanical Interactions in More Electric Systems. IEEE Access, 9, 95036-95045. https://doi.org/10.1109/ACCESS.2021.3094172

This paper studies the excitation of torsional vibrations by electromechanical interaction after the connection of electrical loads. Electrical generation and power system in aircraft are becoming of key importance, especially considering the current... Read More about Reduction of Torsional Vibrations Excited by Electromechanical Interactions in More Electric Systems.

Stiffening Effect of Fillers Based on Rheology and Micromechanics Models (2021)
Journal Article
Rahim, A., Milad, A., Yusoff, N. I. M., Airey, G., & Thom, N. (2021). Stiffening Effect of Fillers Based on Rheology and Micromechanics Models. Applied Sciences, 11(14), Article 6521. https://doi.org/10.3390/app11146521

The aggregate in an asphalt mixture is coated with mastic consisting of bitumen (dilute phase) and filler (particulates phase). The interaction of bitumen and filler and packing of filler plays an important role in the properties of mastics. The micr... Read More about Stiffening Effect of Fillers Based on Rheology and Micromechanics Models.

Modeling and control of DC grids within more-electric aircraft (2021)
Book Chapter
Wang, C., Hussaini, H., Gao, F., & Yang, T. (2021). Modeling and control of DC grids within more-electric aircraft. In A. Garcés (Ed.), Modeling, Operation, and Analysis of DC Grids: From High Power DC Transmission to DC Microgrids (337-366). Academic Press. https://doi.org/10.1016/b978-0-12-822101-3.00018-6

This chapter mainly discusses the DC microgrids for aerospace application. The more-electric aircraft is the major trend in aerospace industry. Many functions, which were conventionally driven by hydraulic, pneumatic, and mechanical power, are being... Read More about Modeling and control of DC grids within more-electric aircraft.

Numerical Modeling of the Effects of Channel Configurations and Inclination Angles Inducing Buoyancy on Reverse Osmosis (2021)
Journal Article
Zemour, N., Azzi, A., Rahli, O., Al-Sarkhi, A., & Gomes, R. L. (2021). Numerical Modeling of the Effects of Channel Configurations and Inclination Angles Inducing Buoyancy on Reverse Osmosis. Journal of Applied Fluid Mechanics, 14(4), 1223-1236. https://doi.org/10.47176/jafm.14.04.32344

This numerical study presents a comparison between two different reverse osmosis channel configurations. The physical properties were considered in the computational model as a function of the solute mass fraction. A critical comparison was performed... Read More about Numerical Modeling of the Effects of Channel Configurations and Inclination Angles Inducing Buoyancy on Reverse Osmosis.

Optimal Integrated Design of a Magnetically Coupled Interleaved H-Bridge (2021)
Journal Article
Stratta, A., Gottardo, D., Nardo, M. D., Espina, J., Lillo, L. D., Empringham, L., & Johnson, M. C. (2022). Optimal Integrated Design of a Magnetically Coupled Interleaved H-Bridge. IEEE Transactions on Power Electronics, 37(1), 724-737. https://doi.org/10.1109/TPEL.2021.3094025

The application of wide-band gap semiconductors and their integration with other power electronics components (e.g., passives, gate drivers, sensing, thermal management) can meet the growing demand for volume reduction in power electronics systems. T... Read More about Optimal Integrated Design of a Magnetically Coupled Interleaved H-Bridge.

Efficient empirical determination of maximum permissible error in coordinate metrology (2021)
Journal Article
Thompson, A., Southon, N., Fern, F., Stupfler, G., & Leach, R. (2021). Efficient empirical determination of maximum permissible error in coordinate metrology. Measurement Science and Technology, 32(10), Article 105013. https://doi.org/10.1088/1361-6501/ac0c49

Maximum permissible errors (MPEs) are an important measurement system specification and form the basis of periodic verification of a measurement system's performance. However, there is no standard methodology for determining MPEs, so when they are no... Read More about Efficient empirical determination of maximum permissible error in coordinate metrology.

Effect of Roof Cooling and Air Curtain Gates on Thermal and Wind Conditions in Stadiums for Hot Climates (2021)
Journal Article
Zhong, F., Chaudhry, H. N., & Calautit, J. K. (2021). Effect of Roof Cooling and Air Curtain Gates on Thermal and Wind Conditions in Stadiums for Hot Climates. Energies, 14(13), 1-23. https://doi.org/10.3390/en14133941

To host the 2022 FIFA World Cup, Qatar is facing the greatest challenge in balancing the energy consumptions for cooling the stadiums and the thermal comfort for both players and spectators. Previous studies have not considered using a combined confi... Read More about Effect of Roof Cooling and Air Curtain Gates on Thermal and Wind Conditions in Stadiums for Hot Climates.

Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors (2021)
Presentation / Conference Contribution
Fu, X., Ding, C., Zanchetta, P., Yang, X., Tang, M., & Liu, Y. (2021, July). Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors. Presented at 2021 13th International Symposium on Linear Drives for Industry Applications (LDIA 2021), Wuhan, China

The cogging force arising due to the strong attraction forces between the iron core and the permanent magnets, is a common inherent property of the linear motors, which significantly affects the control performance. Therefore, significant research ef... Read More about Cogging Force Identification Based on Self-Adaptive Hybrid Self-Learning TLBO Trained RBF Neural Network for Linear Motors.

A Framework for Self-configuration in Manufacturing Production Systems (2021)
Presentation / Conference Contribution
Rehman, H. U., Chaplin, J. C., Zarzycki, L., & Ratchev, S. (2021, July). A Framework for Self-configuration in Manufacturing Production Systems. Presented at 12th Advanced Doctoral Conference On Computing, Electrical And Industrial Systems (DOCEIS2021), Caparica, Portugal

Intelligence in manufacturing enables the optimization and configuration of processes, and a goal of future smart manufacturing is to enable processes to configure themselves-called self-configuration. This paper describes a framework for utilising d... Read More about A Framework for Self-configuration in Manufacturing Production Systems.

Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network (2021)
Journal Article
Shi, L., Zhang, S., Arshad, A., Hu, Y., He, Y., & Yan, Y. (2021). Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network. Renewable and Sustainable Energy Reviews, 149, Article 111341. https://doi.org/10.1016/j.rser.2021.111341

Nanostructured magnetic suspensions have superior thermophysical properties, which have attracted widespread attention owing to their industrial applications for heat transfer enhancement and thermal management. However, experimental measurements of... Read More about Thermo-physical properties prediction of carbon-based magnetic nanofluids based on an artificial neural network.