Global optimization of a transonic fan blade through AI-enabled active subspaces

DI Lopez, T Ghisu, S Shahpar - Journal of …, 2022 - asmedigitalcollection.asme.org
The increased need to design higher performing aerodynamic shapes has led to design
optimization cycles requiring high-fidelity CFD models and high-dimensional …

Programming with equadratures: an open-source package for uncertainty quantification, dimension reduction, and optimisation

P Seshadri, CY Wong, AD Scillitoe, BN Ubald… - AIAA SCITECH 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-2108. vid This paper presents an
overview of the open-source code equadratures. While originally developed to replicate …

Instantaneous flowfield estimation with Gaussian ridges

AD Scillitoe, P Seshadri, CY Wong - AIAA Scitech 2021 Forum, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-1138. vid Computational fluid
dynamics plays a key role in the design process across many industries. Recently, there has …

Polynomial ridge flowfield estimation

A Scillitoe, P Seshadri, CY Wong, A Duncan - Physics of Fluids, 2021 - pubs.aip.org
Computational fluid dynamics plays a key role in the design process across many industries.
Recently, there has been increasing interest in data-driven methods in order to exploit the …

A Systematic Approach to Sensor Selection for Gas Turbine Exhaust Gas Temperature Prediction

J Xu, F Lou - Turbo Expo: Power for Land, Sea, and …, 2024 - asmedigitalcollection.asme.org
The performance of a gas turbine deteriorates over time due to various primary flow
component degradations such as fouling, erosion, corrosion, and foreign object damage …

A rapid method for turbomachinery aerodynamic design and optimization using active subspace

J Xu, F Lou - Journal of the Global Power and Propulsion Society, 2024 - journal.gpps.global
Preliminary design is a crucial step in the turbomachinery aerodynamic design process,
which involves the initial conceptualization and serves as the foundation for subsequent …

A PROBABILISTIC APPROACH TO UNCERTAINTY IN TURBINE EFFICIENCY MEASUREMENT

L Bhatnagar - 2022 - hammer.purdue.edu
Efficiency is an essential metric for assessing turbine performance. Modern turbines rely
heavily on numerical computational fluid dynamic (CFD) tools for design improvement. With …

Analysis of stresses in metal sheathed thermocouples in high-temperature flows

SW Powers, JA Schetz, KT Lowe, RK Kapania - AIAA Journal, 2021 - arc.aiaa.org
Flight and ground test applications for in-flow and near-wall flow temperature sensing
demand robust and accurate sensing, making thermocouple sensors attractive. Even for …

Design Optimisation and Flow Characterisation for Future Aeroengine Axial Fan Blades

DI Lopez - 2023 - iris.unica.it
The increased need to design higher performing aerodynamic shapes has led to design
optimisation cycles requiring high-fidelity CFD models and high-dimensional …

Digital Shadow and Robust Optimization of in Service Squealer Tip Turbine Blades

I Virdis, T Ghisu, S Shahpar… - … Expo: Power for …, 2022 - asmedigitalcollection.asme.org
The term uncertainty quantification (UQ) refers to a set of techniques which are used to
measure the statistical variability of several input parameters. In recent years, UQ has …