Simulations of Rotor–Stator Interactions with SPH-ALE

Neuhauser, Magdalena; Leboeuf, Francis; Marongiu, Jean-Christophe; Parkinson, Étienne; Robb, Daniel M.

doi:10.1007/978-981-4451-42-0_29

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…This work directly built on that of Marrone et al [107], where the coupling was comparatively simple and the finite-volume solver only applied in internal flow and solid boundary regions, away from free surfaces. Similarly, Neuhauser & Marongiu [108] used an overlapping zone of SPH and FVM to interpolate data between the two methods, applying it to Taylor-Green vortices and flow past a NACA0012 aerofoil.…”

Section: Coupling With Other Methodsmentioning

confidence: 99%

Review of smoothed particle hydrodynamics: towards converged Lagrangian flow modelling

2020

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This paper presents a review of the progress of smoothed particle hydrodynamics (SPH) towards high-order converged simulations. As a mesh-free Lagrangian method suitable for complex flows with interfaces and multiple phases, SPH has developed considerably in the past decade. While original applications were in astrophysics, early engineering applications showed the versatility and robustness of the method without emphasis on accuracy and convergence. The early method was of weakly compressible form resulting in noisy pressures due to spurious pressure waves. This was effectively removed in the incompressible (divergence-free) form which followed; since then the weakly compressible form has been advanced, reducing pressure noise. Now numerical convergence studies are standard. While the method is computationally demanding on conventional processors, it is well suited to parallel processing on massively parallel computing and graphics processing units. Applications are diverse and encompass wave–structure interaction, geophysical flows due to landslides, nuclear sludge flows, welding, gearbox flows and many others. In the state of the art, convergence is typically between the first- and second-order theoretical limits. Recent advances are improving convergence to fourth order (and higher) and these will also be outlined. This can be necessary to resolve multi-scale aspects of turbulent flow.

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Section: Coupling With Other Methodsmentioning

confidence: 99%

Review of smoothed particle hydrodynamics: towards converged Lagrangian flow modelling

2020

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“…As an alternative approach, some researchers have developed Lagrangian particle based methods. Neuhauser et al [2] and Rentschler et al [3], both of Andritz Hydro, documented how the in-house SPH-ALE solver can be used to model the free surface flow in the casing of a Pelton turbine, with the aim of evaluating the potential for improvement of efficiency by additional casing components in rehabilitation projects. However, they note it has taken 12 years to develop the code.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Energy Loss in Pelton Turbine Casings by Transient CFD and Experimental Analysis

Petley¹,

Aggidis²

2019

IJFMS

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Many consider the Pelton turbine a mature technology, nevertheless the advent of Computational Fluid Dynamics (CFD) in recent decades has been a key driver in the continued design development. Impulse turbine casings play a very important role and experience dictates that the efficiency of a Pelton turbine is closely dependent on the success of keeping vagrant spray water away from the turbine runner and the water jet. Despite this overarching purpose, there is no standard design guidelines and casing styles vary from manufacturer to manufacturer, often incorporating a considerable number of shrouds and baffles to direct the flow of water into the tailrace with minimal interference with the aforementioned. The present work incorporates the Reynolds-averaged Navier Stokes (RANS) k-ɛ turbulence model and a two-phase Volume of Fluid (VOF) model, using the ANSYS® FLUENT® code to simulate the casing flow in a 2-jet horizontal axis Pelton turbine. The results of the simulation of two casing configurations are compared against flow visualisations and measurements obtained from a model established at the National Technical University of Athens. Further investigations were carried out in order to compare the absolute difference between the numerical runner efficiency and the experimental efficiency. In doing so, the various losses that occur during operation of the turbine can be appraised and a prediction of casing losses can be made. Firstly, the mechanical losses of the test rig are estimated to determine the experimental hydraulic efficiency. Following this, the numerical efficiency of the runner can then be ascertained by considering the upstream pipework losses and the aforementioned runner simulations, which are combined with previously published results of the 3D velocity profiles obtained from simulating the injectors. The results indicate that out of all of the experimental cases tested, in the best case scenario the casing losses can be approximated to be negligible and in the worst case scenario ≈3%.

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Simulations of Rotor–Stator Interactions with SPH-ALE

Cited by 2 publications

References 9 publications

Review of smoothed particle hydrodynamics: towards converged Lagrangian flow modelling

Review of smoothed particle hydrodynamics: towards converged Lagrangian flow modelling

Estimating the Energy Loss in Pelton Turbine Casings by Transient CFD and Experimental Analysis

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