Reducing Bottlenecks in the CAD-to-Mesh-to-Solution Cycle Time to Allow CFD to Participate in Design

Dawes, W. N.; Dhanasekaran, P. Caleb; Demargne, A. A. J.; Kellar, W. P.; Savill, A. M.

doi:10.1115/2000-gt-0517

Cited by 14 publications

(11 citation statements)

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“…The code reads meshes generated from a suite of meshgeneration programs developed in-house. 41 It has been observed that sphere-sphere contact points may cause solution inaccuracy due to the generation of thin, unsuitable cells, or failure to generate cells at all. 32,42,43 This issue has been avoided by either under-sizing 44 or over-sizing 45 the spheres.…”

Section: Geometry and Meshingmentioning

confidence: 99%

CFD modeling of single‐phase flow in a packed bed with MRI validation

et al. 2012

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Computational fluid dynamics (CFD) simulations are becoming increasingly widespread with the advent of more powerful computers and more sophisticated software. The aim of these developments is to facilitate more accurate reactor design and optimization methods compared to traditional lumped‐parameter models. However, in order for CFD to be a trusted method, it must be validated using experimental data acquired at sufficiently high spatial resolution. This article validates an in‐house CFD code by comparison with flow‐field data obtained using magnetic resonance imaging (MRI) for a packed bed with a particle‐to‐column diameter ratio of 2. Flows characterized by inlet Reynolds numbers, based on particle diameter, of 27, 55, 111, and 216 are considered. The code used employs preconditioning to directly solve for pressure in low‐velocity flow regimes. Excellent agreement was found between the MRI and CFD data with relative error between the experimentally determined and numerically predicted flow‐fields being in the range of 3–9%. © 2012 American Institute of Chemical Engineers AIChE J, 2012

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Section: Geometry and Meshingmentioning

confidence: 99%

CFD modeling of single‐phase flow in a packed bed with MRI validation

et al. 2012

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“…Our RANS solver ("NEWT") was written in the 1990's and applied extensively to turbomachinery, as described for example in Dawes [1992Dawes [ , 1993, Longley et al [2000], Angel et al [1998] and Jackson [1996]. Later, extensions were made to other application areas; see, for example, Kellar et al [1999], Dawes et al [2001], Smith at al [2003]. The solver was very simple and consisted of the Reynolds Averaged Navier Stokes equations discretised using a second order finite volume approach on an all-tetrahedral mesh with both a simple mixing length and also a low Reynolds number k- turbulence model.…”

Section: The Basic Unstructured Mesh Rans Flow Solvermentioning

confidence: 99%

Acceleration of an Unstructured Hybrid Mesh RANS Solver by Porting to GPU Architectures

Dawes

Dhanasekaran

2011

49th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition

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The modern CFD process consists of mesh generation, flow solving and post-processing integrated into an automated workflow. During the last several years we have developed and published research aimed at producing a meshing and geometry editing system, implemented in an end-to-end parallel, scalable manner and capable of automatic handling of large scale, real world applications. The particular focus of this paper is the associated unstructured mesh RANS flow solver and the porting of it to GPU architectures. After briefly describing the solver itself, the special issues associated with porting codes using unstructured data structures are discussedfollowed by some application examples.

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“…Morishige and Takeuchi (1997) planed suitable tool track to manufacture impellers. Dawes et al (2001) did not only use three-dimensional CAD modeling but also constructed hexahedral grids for CFD computing. Nerurker et al (1996) proposed an impeller design method in which the parametric optimization technique was coupled with CFD analyses.…”

Section: Introductionmentioning

confidence: 99%

Novel Design of Centrifugal Pump Impellers Using Generated Machining Method and CFD

Lin

Hung

2008

Engineering Applications of Computational Fluid Mechanics

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A novel design approach that combines manufacturing process and numerical simulation is proposed for centrifugal pump impellers in this study. We aim to provide a fast design methodology for centrifugal pump impellers. The geometric design of impeller is obtained by means of cubic spline and the manufacturing process is based on the generated machining method for five-axis control machine tools. The feature of this study is that the centrifugal impeller design with a well-behaved flow field could practically be manufactured. For the numerical simulation, a commercial CFD software (CFX-TASCflow) is used to solve the three-dimensional Reynolds-averaged Navier-Stokes equations in a rotating cylindrical coordinate system. Besides, an artificial neural network combined with the complex optimization method is also proposed to solve the inverse problem of a centrifugal impeller when the basic geometric parameters and the hub-shroud contours are known, and the expected velocity distribution of blade surface is given. Results of this study show that efficiency and performance of the designed impeller are higher than those of the initial impeller in the same operation condition.

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Reducing Bottlenecks in the CAD-to-Mesh-to-Solution Cycle Time to Allow CFD to Participate in Design

Cited by 14 publications

References 0 publications

CFD modeling of single‐phase flow in a packed bed with MRI validation

CFD modeling of single‐phase flow in a packed bed with MRI validation

Acceleration of an Unstructured Hybrid Mesh RANS Solver by Porting to GPU Architectures

Novel Design of Centrifugal Pump Impellers Using Generated Machining Method and CFD

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