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How to determine opimum iniitial values and mesh size for cfd problem in fluent? 


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To determine optimal initial values and mesh size for a CFD problem in ANSYS Fluent, various methodologies can be employed. One approach involves utilizing CAD technology to build three-dimensional parameterization models of the fluid machinery, calculating the flow field using CFD software, and evaluating the results through Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation . Another method includes goal-oriented adaptive mesh refinement to find optimal mesh densities, where machine learning techniques can be applied to predict optimal mesh densities for different geometries, enhancing computational efficiency in CFD simulations . Additionally, a study on film cooling hole optimization demonstrated shape parameter variations to minimize coolant mass flow while maximizing cooling effectiveness, using RBF Morph in ANSYS Fluent without the need for regenerating geometries or meshes for each configuration .

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Machine learning-based approach in the paper predicts optimal mesh densities for CFD simulations, offering a solution to determine initial values and mesh sizes efficiently in Fluent.
The paper focuses on optimizing slotted flap position using Fluent software, suggesting initial values and mesh size selection based on CFD solver performance, turbulence models, and comparison with wind tunnel results.
The paper proposes optimizing grid node locations and element sizes to enhance finite element solutions for incompressible fluid flow problems, providing guidelines for constructing improved grids.
The paper utilizes CFD integrated with CAD to determine optimal design parameters by building parametric models and evaluating flow fields using structured mesh with 200,000 elements.

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