Cartesian Mesh Generation with Local Refinement for Immersed Boundary Approaches

Angelo, Luca Di; Duronio, Francesco; Vita, Angelo De; Mascio, Andrea Di

doi:10.3390/jmse9060572

Cited by 11 publications

(8 citation statements)

References 17 publications

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“…Polyhedral mesh is used both for the fluid and solid domains to maintain the conformal mesh [27]. For a viscous flow bounded with solid boundaries, it is essential to cluster a large number of small cells within the physical boundary so that the actual flow physics is appropriately accounted [28]. Thus, the polyhedral mesh is selected for solids with a mesh size of 4.0 mm and refinements at the surfaces is chosen as the appropriate mesh settings.…”

Section: A Meshing For Cfd Analysis With Rotational Dynamicsmentioning

confidence: 99%

Computationally Efficient Surrogate-Based Magneto-Fluid-Thermal Numerical Coupling Approach for a Water-Cooled IPM Traction Motor

Abdelrahman

Bilgin

2022

IEEE Access

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This paper proposes a computationally-efficient electromagnetic (EM)-computational fluid dynamics (CFD) coupling approach for a water-cooled Interior Permanent Magnet (IPM) motor. The numerical simulation of multiple fluids and their interaction with solid parts can be challenging. The proposed approach relies on the heat transfer coefficient (HTC) decomposition of different fluids/coolants inside the machine to generate an HTC look-up table (LUT) as a function of the coolant inlet flow rate. The HTC-LUT is then utilized as a surrogate model for the stationary coolant to decouple the fluid-to-fluid interaction and, hence, expedite the iterative approach. This reduces the computational time by almost twothirds as compared to the multiple fluid approach while preserving the fidelity of the model. Additionally, the proposed approach formulates the correlation between the rotor speed, coolant flow rate, convective heat transfer coefficients, and the temperature rise, particularly for hot-spot locations in the end-windings. This approach uses a two-dimensional EM model coupled with a three-dimensional fractional CFD model. Thus, it reduces the computational cost and retains the model simplicity. The viability of the proposed coupling approach is also validated through lumped parameter thermal network (LPTN) analytical approach. The results from both approaches under different cooling conditions, flow rates, and current densities are in a good agreement.INDEX TERMS Computational fluid dynamics (CFD), dual-three phase machine, finite-element analysis (FEA), hairpin windings, interior permanent magnet (IPM), synchronous machine, lumped-parameter thermal network (LPTN).

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Section: A Meshing For Cfd Analysis With Rotational Dynamicsmentioning

confidence: 99%

Computationally Efficient Surrogate-Based Magneto-Fluid-Thermal Numerical Coupling Approach for a Water-Cooled IPM Traction Motor

Abdelrahman

Bilgin

2022

IEEE Access

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“…The computational domain adopted for the simulations is a cylinder with a diameter of 140 mm and height of 120 mm. Geometry discretisation is performed using internal CONVERGE mesh tool 30,45 with a grid of 1 mm in each direction and an adaptive mesh refinement (AMR) based on the velocity gradient of level 3 up to a dimension of 0.125 mm. The injection environment is filled with nitrogen.…”

Section: Eulerian-lagrangian Ddm Simulationmentioning

confidence: 99%

ECN Spray G: Coupled Eulerian internal nozzle flow and Lagrangian spray simulation in flash boiling conditions

Duronio

Mascio

Villante

et al. 2022

International Journal of Engine Research

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Flash-boiling of fuel sprays occurs when a super-heated fuel is discharged into an environment whose pressure is lower than the saturation pressure of the fuel and can dramatically alter spray formation due to complex two-phase flow effects and rapid droplet vaporization. In gasoline direct injection (GDI) engines, typically, it occurs during the injection process when high fuel temperatures make its saturation pressures higher than the in-cylinder one. Flash boiling significantly affects the spray structure and fuel-air mixture formation, with, potentially, if spray collapse is avoided, positive consequences for the engine performance and pollutant emissions. Hence, this paper developed a modelling approach based on the coupling of Eulerian multi-phase and Eulerian-Lagrangian simulations to reproduce flash boiling sprays physics. It allows a comprehensive description of the flash-boiling phenomena that begins within the injector’s ducts and continues outside, where a particular mechanism for primary breakup occurs. Experimental data of the Engine Combustion Network (ECN) Spray G injector, covering various operating conditions, were exploited to assess the reliability of the numerical technique adopted. The validation was performed taking into account various parameters such as axial liquid and vapour penetrations, droplet size and images regarding the near-nozzle zone. The numerical model achieves a pretty good level of agreement with the experimental data and, in particular, it is sensitive to the spray behaviour in the different operating conditions.

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“…In comparison, we use a larger class of quality measures which describe the rules of the classification societies more comprehensively. The papers [12][13][14] present recent accounts of the use of automatic meshing in ocean engineering for tasks such as structural optimization and hull shape optimization. In contrast, for this paper, we have a strict focus on the fully automatic structural analysis according to the rules of the classification societies.…”

Section: Introductionmentioning

confidence: 99%

An Open-Source Processing Pipeline for Quad-Dominant Mesh Generation for Class-Compliant Ship Structural Analysis

Grubišić

Lacmanović

Palaversa

et al. 2022

JMSE

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We present an algorithm for the fully automatic generation of a class-compliant mesh for ship structural analysis. Our algorithm is implemented as an end-to-end solution. It starts from a description of a geometry and produces a class conforming surface mesh as a result. The algorithm consists of two parts, the automatic geometry refinement and the preconditioned Delaunay frontal quad dominant mesh generator. A geometry is described by a dictionary of elements and it contains points, rods, plates, and openings. A dictionary can contain modeling errors such as unintended overlaps or an unintended loss of connectivity between elements. The main contribution of the paper is the automatic geometry refinement algorithm and the virtual stiffener procedure designed to control the local mesh orientation of a marching front meshing algorithm. The geometry refinement algorithm guarantees that the output dictionary will be such that intersections of the boundary edges of plates are guaranteed to be nodes of any mesh generated by tessellating such geometry. The algorithm is implemented in Python, using the open-source Gmsh system together with the Open CASCADE kernel which is used to implement the automatic geometry refinement. We present several benchmark models from an engineering practice to illustrate our claims as well as to benchmark the efficiency of the various stages of the processing pipeline.

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Cartesian Mesh Generation with Local Refinement for Immersed Boundary Approaches

Cited by 11 publications

References 17 publications

Computationally Efficient Surrogate-Based Magneto-Fluid-Thermal Numerical Coupling Approach for a Water-Cooled IPM Traction Motor

Computationally Efficient Surrogate-Based Magneto-Fluid-Thermal Numerical Coupling Approach for a Water-Cooled IPM Traction Motor

ECN Spray G: Coupled Eulerian internal nozzle flow and Lagrangian spray simulation in flash boiling conditions

An Open-Source Processing Pipeline for Quad-Dominant Mesh Generation for Class-Compliant Ship Structural Analysis

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