Ashley Scillitoe
Ashley Scillitoe
Research Associate, The Alan Turing Institute
Verified email at - Homepage
Cited by
Cited by
Numerical investigation of three-dimensional separation in an axial flow compressor: the influence of freestream turbulence intensity and endwall boundary layer state
AD Scillitoe, PG Tucker, P Adami
Journal of Turbomachinery 139 (2), 021011, 2017
Evaluation of RANS and ZDES methods for the prediction of three-dimensional separation in axial flow compressors
AD Scillitoe, PG Tucker, P Adami
Turbo Expo: Power for Land, Sea, and Air 56642, V02BT39A041, 2015
An engineering development of a novel hexrotor vehicle for 3D applications
D Langkamp, G Roberts, A Scillitoe, I Lunnon, A Llopis-Pascual, ...
International Micro Air Vehicle conference and competitions 2011 (IMAV 2011 …, 2011
Effect of mesh quality on flux reconstruction in multi-dimensions
W Trojak, R Watson, A Scillitoe, PG Tucker
Journal of Scientific Computing 82 (3), 1-36, 2020
Large eddy simulation of boundary layer transition mechanisms in a gas-turbine compressor cascade
AD Scillitoe, PG Tucker, P Adami
Journal of Turbomachinery 141 (6), 2019
Modification of shear stress transport turbulence model using helicity for predicting corner separation flow in a linear compressor cascade
Y Liu, Y Tang, AD Scillitoe, PG Tucker
Journal of Turbomachinery 142 (2), 021004, 2020
Design space exploration of stagnation temperature probes via dimension reduction
AD Scillitoe, B Ubald, P Seshadri, S Shahpar
Turbo Expo: Power for Land, Sea, and Air 84089, V02CT35A057, 2020
Blade envelopes Part I: Concept and methodology
CY Wong, P Seshadri, A Scillitoe, AB Duncan, G Parks
Journal of Turbomachinery 144 (6), 061006, 2022
Blade envelopes Part II: Multiple objectives and inverse design
CY Wong, P Seshadri, A Scillitoe, B Noel Ubald, AB Duncan, G Parks
Journal of Turbomachinery 144 (6), 061007, 2022
Polynomial Ridge Flowfield Estimation
A Scillitoe, P Seshadri, CY Wong, A Duncan
arXiv preprint arXiv:2107.07547, 2021
Uncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests
A Scillitoe, P Seshadri, M Girolami
Journal of Computational Physiscs, 110116, 2021
Instantaneous flowfield estimation with Gaussian ridges
AD Scillitoe, P Seshadri, CY Wong
AIAA Scitech 2021 Forum, 1138, 2021
Separated flow prediction and assessment using LES and machine learning
JC Tyacke, A Scillitoe
AIP Conference Proceedings 2293 (1), 420093, 2020
Effect of Flux Function Order and Working Precision in Spectral Element Methods
W Trojak, A Scillitoe, R Watson
AIAA Scitech 2020 Forum, 0566, 2020
Towards predictive eddy resolving simulations for gas turbine compressors
AD Scillitoe
University of Cambridge, 2017
Propulsion System Design and Optimisation for the Tumbleweed Novel Autonomous Hexrotor Micro Air Vehicle
AD Scillitoe
Master of Engineering Master of Engineering, The University of Manchester, 2011
Prior-informed Uncertainty Modelling with Bayesian Polynomial Approximations
CY Wong, P Seshadri, AB Duncan, A Scillitoe, G Parks
arXiv preprint arXiv:2203.03508, 2022
Programming with equadratures: an open-source package for uncertainty quantification, dimension reduction, and optimisation
P Seshadri, CY Wong, AD Scillitoe, BN Ubald, B Hill, I Virdis, T Ghisu
AIAA SCITECH 2022 Forum, 2108, 2022
Identifying Flow Physics in Convolutional Layers
A Scillitoe, P Seshadri
APS Division of Fluid Dynamics Meeting Abstracts, R01. 037, 2020
Modification of SST Turbulence Model Using Helicity for Predicting Corner Separation Flow in a Linear Compressor Cascade
Y Liu, Y Tang, AD Scillitoe, PG Tucker
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