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Numerical prediction of vortex trajectories and vortex–blade interaction on the CROR engine

Nuno Vinha (Integrated Computational Engineering and Materials Design Division, Fundación ICAMCyL, León, Spain)
David Vallespin (Aeronautics, Space and Defence Division, Altran Technologies, Madrid, Spain)
Eusebio Valero (Department of Applied Mathematics, School of Aerospace Engineering, Universidad Politécnica de Madrid, Madrid, Spain)
Valentin de Pablo (TETR, Airbus Defence and Space, Getafe, Spain)
Santiago Cuesta-Lopez (Integrated Computational Engineering and Materials Design Division, Fundación ICAMCyL, León, Spain)

Aircraft Engineering and Aerospace Technology

ISSN: 0002-2667

Article publication date: 11 September 2020

Issue publication date: 27 October 2020

105

Abstract

Purpose

The exponential growth in computational capabilities and the increasing reliability of current simulation tools have fostered the use of computational fluid dynamics (CFD) in the design of pioneering aircraft engine architectures, such as the counter rotating open rotor (CROR) engine. Today, this design process is led by tight performance and noise constraints from a very early stage, thus requiring deep investigations of the aerodynamic and acoustic behaviour of the fluid flow. The purpose of this study is to track the trajectory of tip vortices, which is of critical importance to understand and prevent potential vortex–blade interactions with subsequent rows, as this condition strongly influences the aerodynamic and structural performance and acoustic footprints of the engine.

Design/methodology/approach

In this paper, a flow feature detection methodology is applied to a particular CROR test case with the goal of visualizing and tracking the development of these coherent structures from the tip of front rotating blades. The suitability and performance of four typical region-based methodologies and one line-based (LB) criteria are firstly evaluated. Then, two novel seeding methodologies are presented as an attempt to improve the performance of the LB algorithm previously investigated.

Findings

It was demonstrated that the new seeding algorithms increase the probability of the selected seeds to grow into a tip vortex line and reduce the user’s dependence upon the selection of candidate seeds, providing faster and more accurate answers during the design-to-noise iterative process.

Originality/value

Apart from the new vortex detection initialization methodologies, the paper also attempts to assist the user in the endeavour of extracting rotating structures from their own CFD simulations.

Keywords

Acknowledgements

The authors would like to acknowledge the European Commission for funding this research through the AIRUP project (Airbus-UPM European Industrial Doctorate in mathematical methods applied to aircraft design), under grant agreement number FP7-PEOPLE-ITN-608087.

This article is based upon the conference paper Evaluation of vortex-blade interaction utilizing flow feature detection techniques, presented at the 9th EASN International Conference on “Innovation in Aviation & Space” and hosted on MATEC Web of Conferences 304, 02007 (2019), and upon the doctoral thesis of the first author entitled Post-processing enhancement: feature detection and evaluation of unsteady/steady flows, submitted in July 2017 to the School of Aerospace Engineering of the Technical University of Madrid (UPM).

Citation

Vinha, N., Vallespin, D., Valero, E., de Pablo, V. and Cuesta-Lopez, S. (2020), "Numerical prediction of vortex trajectories and vortex–blade interaction on the CROR engine", Aircraft Engineering and Aerospace Technology, Vol. 92 No. 9, pp. 1345-1356. https://doi.org/10.1108/AEAT-03-2020-0044

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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