Multiblock Structured Mesh Generation for Turbomachinery Flows

The noise produced by aeroengines is a critical topic in engine design. Large-Eddy Simulation (LES) and hybrid Reynolds-Averaged Navier-Stokes (RANS)-LES provides a method to increase understanding of influences on the noise produced and could lead to improved models for use in design. Use of Immersed Boundary (IB) and Body Force Methods (BFM) allows arbitrary geometry to be added rapidly and so this is explored to model internal geometry effects on jet noise. This reduces grid complexity and broadens the accessible design space by reducing setup time and computational cost. Using LES and BFM/IB, many effects that are difficult to test experimentally can be assessed numerically within useful timeframes. To enable challenging targets for jet noise to be met, the importance of the many influences on jet noise must be understood. These include the use of, single or dual stream jet nozzles, the presence (or lack of) of a pylon, wing, flap and deflection angles, nozzle serrations, eccentricity, temperature and velocity ratio, flight stream and upstream/internal geometry effects. The latter effects are the main focus of this study. Nomenclature

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“…To automate the process, several approaches exist. One example is given by Ali and Tucker [1] and shown in Fig. 5.…”

Section: Future Meshing Strategiesmentioning

confidence: 98%

Body Force Modelling of Internal Geometry for Jet Noise Prediction

Tyacke

Naqavi

Tucker

2015

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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“…The 'd-MAT' method used by Xia and Tucker [10,1] has similar rules to the TopMaker method and it produces comparable decompositions.…”

Section: Review Of Established Medial-axis-based Decomposition Algorimentioning

confidence: 99%

“…An assessment of the relative performances of multiblock structured meshes of turbomachinery that were generated by medial-axis-based methods, Cartesian grid methods and by manual interactive work was made in a recent paper [1]. Adjoint error analyses in CFD simulations showed that the medialaxis-based methods generated higher quality meshes and this can be attributed to their boundary-sympathetic block configurations.…”

Section: Introductionmentioning

confidence: 99%

Enhanced medial-axis-based block-structured meshing in 2-D

Fogg

Armstrong

Robinson

2016

Computer-Aided Design

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“…At stage 2a, for the ribbed passage flow, multiple intricate geometrical features exist, hence additional topology information is either provided in the CAD or extracted from the geometry, providing parameters used for mesh generation. For example, the medial axis provides a reduced order representation of the true geometry and can be used to guide mesh topology and refinement [100].…”

Section: Expert Systemmentioning

confidence: 99%

Future Use of Large Eddy Simulation in Aero‐engines

Tyacke

Tucker

2015

Journal of Turbomachinery

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Computational fluid dynamics (CFD) has become a critical tool in the design of aero-engines. Increasing demand for higher efficiency, performance, and reduced emissions of noise and pollutants has focused attention on secondary flows, small scale internal flows, and flow interactions. In conjunction with low order correlations and experimental data, RANS (Reynolds-averaged Navier–Stokes) modeling has been used effectively for some time, particularly at high Reynolds numbers and at design conditions. However, the range of flows throughout an engine is vast, with most, in reality being inherently unsteady. There are many cases where RANS can perform poorly, particularly in zones characterized by strong streamline curvature, separation, transition, relaminarization, and heat transfer. The reliable use of RANS has also been limited by its strong dependence on turbulence model choice and related ad-hoc corrections. For complex flows, large-eddy simulation (LES) methods provide reliable solutions, largely independent of turbulence model choice, and at a relatively low cost for particular flows. LES can now be used to provide in depth knowledge of flow physics, for example, in areas such as transition and real wall roughness effects. This can be used to inform RANS and lower order modeling (LOM). For some flows, LES can now even be used for design. Existing literature is used to show the potential of LES for a range of flows in different zones of the engine. Based on flow taxonomy, best practices including RANS/LES zonalization, meshing requirements, and turbulent inflow conditions are introduced, leading to the proposal of a tentative expert system for industrial use. In this way, LES becomes a well controlled tool, suitable for design use and reduces the burden on the end user. The problem sizes tackled however have lagged behind potential computing power, hence future LES use at scale requires substantial progress in several key areas. Current and future solver technologies are thus examined and the potential current and future use of LES is considered.

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Multiblock Structured Mesh Generation for Turbomachinery Flows

Cited by 25 publications

References 21 publications

Body Force Modelling of Internal Geometry for Jet Noise Prediction

Body Force Modelling of Internal Geometry for Jet Noise Prediction

Enhanced medial-axis-based block-structured meshing in 2-D

Future Use of Large Eddy Simulation in Aero‐engines

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