Fluids and Thermal Engineering Research Group

Publications

Content
LAYTON, J., ROTHWELL, B. C., AMBROSE, S., EASTWICK, C., MEDINA, H. and REBELO, N., 2023. A New Thermal Elasto-Hydrodynamic Lubrication Solver Implementation in OpenFOAM: Lubricants Lubricants. 11(7),

Content

Content
PHILLIP, E., LANGEVIN, J., DAVIS, M., KUMAR, N., WALSH, A., JUMBE, V., CLIFFORD, M., CONROY, R. and STANISTREET, D., 2023. Improved cookstoves to reduce household air pollution exposure in sub-Saharan Africa: A scoping review of intervention studies: PLoS ONE PLoS ONE. 18(4 April),

Content
ELSHAFEI, B., PEÑA, A., POPOV, A., GIDDINGS, D., REN, J., XU, D. and MAO, X., 2023. Offshore wind resource assessment based on scarce spatio-temporal measurements using matrix factorization: Renewable Energy Renewable Energy. 202, 1215-1225

Content
DE CARVALHO, T. P., HARGREAVES, D. M., MORVAN, H. P. and KLINGSPORN, M., 2023. Modelling of Droplet Capture in an Open-Cell Metal Foam at the Pore and Macroscopic Scales: Transport in Porous Media Transport in Porous Media.

Content
LI, L., WU, J., THOM, N., HARGREAVES, D., AIREY, G., ZHU, J., ABED, A., RAHMAN, M. and ZHANG, Z., 2023. 2D Mesoscale cracking simulation of partially saturated asphalt based on moisture diffusion and a cohesive zone model: International Journal of Pavement Engineering International Journal of Pavement Engineering. 24(1),

Content
LI, ZHAOZONG, XU, ZEYUAN, ZHANG, FENGYU, GERADA, DAVID, GUO, RONG, ZHANG, HENGLIANG, CORFIELD, MARTIN, GERADA, CHRIS and ZHANG, CHENGNING, 2023. Analytical Calculation and Experimental Validation of Litz Wires Axial Thermal Conductivity IEEE Transactions on Transportation Electrification. 1-1

Content
DENG, L., LI, Y., XIN, Z., CHEN, Z., ZHOU, W., MAMUN, A. A. and LI, B., 2023. Thermal study of the natural air cooling using roll bond flat heat pipe as plate fin under multi-heat source condition: International Journal of Thermal Sciences International Journal of Thermal Sciences. 183,

Content
OZTURK, S., BOWLER, A., RADY, A. and WATSON, N. J., 2023. Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process: Journal of Food Engineering Journal of Food Engineering. 341,

Content
BOWLER, A., OZTURK, S., DI BARI, V., GLOVER, Z. J. and WATSON, N. J., 2023. Machine learning and domain adaptation to monitor yoghurt fermentation using ultrasonic measurements: Food Control Food Control. 147,

Content
SINGH, K., AMBROSE, S., JEFFERSON-LOVEDAY, R., NICOLI, A. and MOUVANAL, S., 2023. Computational study of free surface film flow and subsequent disintegration of a sheet and ligaments into droplets from a rotary disk atomizer: Engineering Applications of Computational Fluid Mechanics Engineering Applications of Computational Fluid Mechanics. 17(1),

Content
BERTOLOTTI, L., JEFFERSON-LOVEDAY, R., AMBROSE, S. and KORSUKOVA, E., 2023. High-fidelity CFD-trained machine learning to inform RANS-modelled interfacial turbulence Journal of the Global Power and Propulsion Society. 7,

Content
SUN, Q., BAHRI, F., JEFFERSON-LOVEDAY, R. and JABBAL M., 2023. Suppression of flow separation in the slat cut-out region of a high-lift wing with active flow control In: AIAA SCITECH 2023 Forum, 2023.

Content
LI, Z., CHRISTODOULOU, L., JEFFERSON-LOVEDAY, R., AMBROSE, S., JACKSON, R., LOCK, G., SANGAN, C. and SCOBIE, J., 2023. Windage Torque Reduction in Low-Pressure Turbine Cavities - Part I: Concept Design and Numerical Investigations In: Turbo Expo 2023 Turbomachinery Technical Conference & Exposition, Hynes Convention Centre, Boston, MA, USA - GT2023-103532.
Displaying 1 to 15 of 1795
Previous 1 2 3 4 5 … Next

Fluids and Thermal Engineering Research Group

Faculty of Engineering
The University of Nottingham
Nottingham, NG7 2RD

email:flute@nottingham.ac.uk