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Dynamic Mode Decomposition for the Comparison of Engine In-Cylinder Flow Fields from Particle Image Velocimetry (PIV) and Reynolds-Averaged Navier–Stokes (RANS) Simulations
Samuel Baker, Xiaohang Fang, Li Shen, Christopher Willman, Jason Fernandes, Felix Leach and Martin Davy Flow, Turbulence and Combustion 111(1) 115 (2023) https://doi.org/10.1007/s10494-023-00424-3
A combined experimental (PIV) and numerical (LES) study of the tumble formation during the intake stroke of an experimental single-cylinder optical engine
Alexandros Katsinos, Vasileios D. Tsiogkas, Dimitrios Kolokotronis, Antonios Tourlidakis and Ananias Tomboulides Automotive and Engine Technology 7(1-2) 37 (2022) https://doi.org/10.1007/s41104-021-00096-z
On the use of particle image velocimetry (PIV) data for the validation of Reynolds averaged Navier-Stokes (RANS) simulations during the intake process of a spark ignition direct injection (SIDI) engine
Li Shen, Christopher Willman, Richard Stone, Tom Lockyer, Rachel Magnanon and Giuseppe Virelli International Journal of Engine Research 23(6) 1061 (2022) https://doi.org/10.1177/14680874211001257
Valve Vibration Induced Intake Air Flow Dynamics Analysis Using Near Valve Particle Image Velocimetry
Fenghao Shi, Mengqi Liu, David L. S. Hung, Xuesong Li and Min Xu Journal of Engineering for Gas Turbines and Power 144(9) (2022) https://doi.org/10.1115/1.4055021
Manifold reduction techniques for the comparison of crank angle-resolved particle image velocimetry (PIV) data and Reynolds-averaged Navier-Stokes (RANS) simulations in a spark ignition direct injection (SIDI) engine
Xiaohang Fang, Li Shen, Christopher Willman, Rachel Magnanon, Giuseppe Virelli, Martin H Davy and Richard Stone International Journal of Engine Research 23(8) 1275 (2022) https://doi.org/10.1177/14680874211013134
On the use of artificial neural networks to model the performance and emissions of a heavy-duty natural gas spark ignition engine
Qiao Huang, Jinlong Liu, Christopher Ulishney and Cosmin E Dumitrescu International Journal of Engine Research 23(11) 1879 (2022) https://doi.org/10.1177/14680874211034409
Alessio Barbato, Stefano Fontanesi and Alessandro D'Adamo 1 (2021) https://doi.org/10.4271/2021-01-0415
Vasileios D. Tsiogkas, Ioannis Bouras PhD, Kyriakos Dimitriadis, Nikolaos Theodorou, Dimitrios Kolokotronis and Antonios Tourlidakis 1 (2021) https://doi.org/10.4271/2021-24-0021
Machine learning assisted prediction of exhaust gas temperature of a heavy-duty natural gas spark ignition engine
Multi-Plane PIV Measurements in a Gasoline Direct Injection Engine
Li Shen, Christopher Willman, Richard Stone, Thomas Lockyer, Rachel Magnanon and Giuseppe Virelli SAE International Journal of Advances and Current Practices in Mobility 3(1) 223 (2020) https://doi.org/10.4271/2020-01-2049
Impact of Grid Density on the Analysis of the In-Cylinder Flow of an Optical Engine
Time-sequenced flow field prediction in an optical spark-ignition direct-injection engine using bidirectional recurrent neural network (bi-RNN) with long short-term memory
