28 citations · 85 across the 19 of their papers we have counts for
5 papers · 1 filter
Blade Envelopes Part II: Multiple Objectives and Inverse Design
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe +3
Blade envelopes offer a set of data-driven tolerance guidelines for manufactured components based on aerodynamic analysis. In Part I of this two-part paper, a workflow for the form…
Bayesian Assessments of Aeroengine Performance with Transfer Learning
Pranay Seshadri, Andrew Duncan, George Thorne +3
Aeroengine performance is determined by temperature and pressure profiles along various axial stations within an engine. Given limited sensor measurements both along and between ax…
Blade Envelopes Part I: Concept and Methodology
Chun Yui Wong, Pranay Seshadri, Ashley Scillitoe +2
Blades manufactured through flank and point milling will likely exhibit geometric variability. Gauging the aerodynamic repercussions of such variability, prior to manufacturing a c…
Bayesian Mass Averaging in Rigs and Engines
Pranay Seshadri, Andrew Duncan, George Thorne
This paper introduces the Bayesian mass average and details its computation. Owing to the complexity of flow in an engine and the limited instrumentation and the precision of the s…
Uncertainty Quantification for Data-driven Turbulence Modelling with Mondrian Forests
Ashley Scillitoe, Pranay Seshadri, Mark Girolami
Data-driven turbulence modelling approaches are gaining increasing interest from the CFD community. However, the introduction of a machine learning (ML) model introduces a new sour…