This slide is describing how to set up the OpenFOAM simulations including rotating geometries.
The SRF (Single Rotating Frame) is covered and MRF (Multiple Reference Frame).will be covered in it.
Setting and Usage of OpenFOAM multiphase solver (S-CLSVOF)takuyayamamoto1800
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The S-CLSVOF solver in OpenFOAM uses a coupled volume of fluid (VOF) and level set method to simulate multiphase flows. It uses a level set function to track the interface and reinitialize it, improving on the standard VOF method. The solver has been implemented in OpenFOAM versions 2.0.x and higher but boundary conditions for the level set function have not been fully developed. The document provides information on setting up and running a dam break tutorial case using the S-CLSVOF solver by modifying an existing interFoam case.
This slide is describing how to set up the OpenFOAM simulations including rotating geometries.
The SRF (Single Rotating Frame) is covered and MRF (Multiple Reference Frame).will be covered in it.
Setting and Usage of OpenFOAM multiphase solver (S-CLSVOF)takuyayamamoto1800
?
The S-CLSVOF solver in OpenFOAM uses a coupled volume of fluid (VOF) and level set method to simulate multiphase flows. It uses a level set function to track the interface and reinitialize it, improving on the standard VOF method. The solver has been implemented in OpenFOAM versions 2.0.x and higher but boundary conditions for the level set function have not been fully developed. The document provides information on setting up and running a dam break tutorial case using the S-CLSVOF solver by modifying an existing interFoam case.
Spatial Interpolation Schemes in OpenFOAMFumiya Nozaki
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The document discusses spatial interpolation schemes in OpenFOAM. It begins by explaining how spatial derivative terms in the finite volume method (FVM) are discretized by integrating over cell volumes and surfaces. It then describes how values at face centers are obtained by interpolating from cell center values using algebraic relationships and weighting factors. Common interpolation schemes in OpenFOAM include upwind, linearUpwind, linear, and limitedLinear. The specification of interpolation schemes on a term-by-term basis is demonstrated. Code examples show how schemes such as upwind, linearUpwind and midPoint calculate interpolated face values and weighting factors differently.
The document discusses dynamic mesh functionality in OpenFOAM. It describes how OpenFOAM handles mesh motions and topology changes using the Dynamic Mesh functionality. Settings for Dynamic Mesh are specified in the dynamicMeshDict file located in the constant directory. Solvers that can handle mesh changes have names containing "DyM", standing for Dynamic Mesh. Examples include pimpleDyMFoam and interDyMFoam. Various types of dynamic meshes are described, including those handling only motion and those enabling topological changes.
This document discusses two methods for obtaining contour surface positions from OpenFOAM simulations: 1) Using the OpenFOAM sample utility which extracts contour data along surfaces defined in a sampleDict file, and 2) Using Paraview to visualize and export contour data to CSV files. The sample utility creates surface data folders containing sampled contour positions, while Paraview allows contour visualization and automated output of positions over multiple time steps.
The document provides programming tips for OpenFOAM, including:
1) How to get a patch's ID from its name using findPatchID().
2) How to calculate the sum of a field over a specified patch using gSum().
3) How to access boundary values of a variable on a patch and the cells adjacent to the patch using boundaryField() and faceCells().
4) How to read cell zone definitions and access cell labels using cellZones() and findZoneID().
It also demonstrates using logical operators on boolLists, appending to DynamicLists, and removing duplicate values from a list.
Adjoint Shape Optimization using OpenFOAMFumiya Nozaki
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The document describes an OpenFOAM shape optimization example where the goal is to modify a geometry to match a target parabolic velocity profile at the outlet by running the adjoint solver. Over 20 iterations, the geometry is modified based on sensitivity maps from the adjoint method, with inward displacements where sensitivity is positive and outward displacements where sensitivity is negative. This improves the match of the calculated outlet velocity distribution to the target profile by 64%.
CFD for Rotating Machinery using OpenFOAMFumiya Nozaki
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This document discusses setting up CFD simulations for rotating machinery using OpenFOAM. It describes the Single Rotating Frame (SRF) and Multiple Reference Frame (MRF) methods. The SRF method computes the flow in a single rotating frame of reference attached to the rotating machinery, allowing for steady-state or transient solutions without mesh motion. The MRF method computes the flow using both rotating and stationary frames, with the rotating zone solved in the rotating frame and stationary zones in the stationary frame. Tutorial cases for the SRF solvers SRFSimpleFoam and SRFPimpleFoam are presented to demonstrate implementing rotating boundary conditions and calculating additional force terms.
The document outlines the authors' background in European research projects related to fluid mechanics, specifically focusing on unsteady viscous flow and detached-eddy simulation for industrial aerodynamics. It discusses their published works, including guidelines for simulation implementation, and details ongoing research and validation efforts in turbulence modeling. Additionally, it mentions future directions for the project and the communication of research findings.
This document describes the design of a machine to directly measure contact line friction. It begins with background on contact angles and traditional methods for measuring contact angle hysteresis and pinning forces, such as the captive needle and tilting plate methods. It then outlines the design of the new measurement machine, which uses a linear motion stage to drag a droplet across a substrate while measuring the pinning force with a high precision force sensor. Key aspects of the design include the motion system, force sensor, vibration isolation, sample holder, enclosure box, and various adjustments for positioning and observation. The machine aims to directly measure pinning forces with improved accuracy compared to existing indirect methods.
Suse Studio: "How to create a live openSUSE image with OpenFOAM? and CFD tools"Baltasar Ortega
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The document outlines the steps to create a live openSUSE image with OpenFOAM and CFD tools using SUSE Studio, a web service for building customized Linux distributions. It explains the preparation required for the OpenFOAM software, the process of selecting and adding additional software packages, and how to build and test the image. Key features include network settings, user configuration, and the ability to modify the image post-build, with a focus on providing a streamlined workflow for users requiring CFD simulations.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
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The document discusses an OpenFOAM solver designed for the Helmholtz equation, specifically the helmholtzfoam and helmholtzbubblefoam solvers developed by Takuya Yamamoto at Osaka Metropolitan University. It outlines the governing equations for pressure distribution simulation, validation results, and provides links for downloading the solver and related tutorials. The documentation is primarily in Japanese, and while further translation is not planned, users are advised to utilize translation tools for comprehension.
The document outlines a benchmark study using OpenFOAM for high-performance computing on EPYC server configurations, focusing on a 3D lid-driven cavity flow with 8 million cells. It details various server specifications involving different generations of EPYC processors and their RAM, bandwidth, and cache capacities. The study also compares the performance of different solvers and configurations across several EPYC server setups.
The document presents benchmarks for OpenFOAM performance on various EPYC servers from Osaka Metropolitan University, specifically using a 3D lid driven cavity flow simulation. It details six different servers, their specifications, and various solver configurations employed for the benchmarks. Comparisons between the performance of 2nd, 3rd, and 4th generation EPYC servers are included to analyze their effectiveness in executing the simulations.
OpenFOAM benchmark for EPYC server -Influence of coarsestLevelCorr in GAMG so...takuyayamamoto1800
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The document discusses the performance of the GAMG solver in OpenFOAM benchmarks using EPYC servers, highlighting issues related to communication bottlenecks during parallel computing. It details configurations for different EPYC server models and various solver settings, emphasizing improvements in solving strategies like the pipelined conjugate gradient method to enhance efficiency. The study includes benchmarks for 3D lid driven cavity flow across multiple server setups, showcasing the impact of hardware specifications on computational performance.
Estimation of numerical schemes in heat convection by OpenFOAMtakuyayamamoto1800
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The document discusses numerical schemes for estimating heat convection in computational fluid dynamics, highlighting key challenges such as conservativeness, boundedness, and transportiveness when solving diffusion-convection equations. It emphasizes the importance of carefully monitoring the cell Peclet number to prevent issues like overshoot and undershoot, especially in scenarios with high Prandtl and Schmidt numbers. The recommendation is to utilize stabilized numerical methods for resolving complex problems effectively.
14. References
?? D. A. Hoang et al., Comput. Fluids, 86, 28-36
(2013).
?? J. U. Brackbill et al., J. Comp. Phys., 100, 335-354
(1992).
?? A. Albadawi et al., Int. J. Multiphase Flow, 53,
11-28 (2013).