{"id":3488,"date":"2024-03-07T08:55:00","date_gmt":"2024-03-07T11:55:00","guid":{"rendered":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/?p=3488"},"modified":"2025-12-12T08:57:48","modified_gmt":"2025-12-12T11:57:48","slug":"the-art-and-science-of-cfd-modelling","status":"publish","type":"post","link":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/the-art-and-science-of-cfd-modelling\/","title":{"rendered":"The Art and Science of CFD Modelling"},"content":{"rendered":"\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/www.modela.co.uk\/wp-content\/uploads\/2024\/08\/blog-meshing_figura2-scaled.jpg\" alt=\"Imagen 1\" class=\"wp-image-2310\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/www.modela.co.uk\/wp-content\/uploads\/2024\/08\/blog-meshing_figura3-scaled.jpg\" alt=\"Imagen 2\" class=\"wp-image-2311\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/www.modela.co.uk\/wp-content\/uploads\/2024\/08\/blog-meshing_figura1-scaled.jpg\" alt=\"\" class=\"wp-image-2316\"\/><\/figure>\n\n\n\n<figure class=\"wp-block-image aligncenter\"><img decoding=\"async\" src=\"https:\/\/www.modela.co.uk\/wp-content\/uploads\/2024\/08\/blog-meshing_figura4-scaled.jpg\" alt=\"Imagen 3\" class=\"wp-image-2312\"\/><\/figure>\n\n\n\n<p>Computational Fluid Dynamics (CFD) is a branch of fluid mechanics that uses numerical methods and&nbsp;computational science to solve and analyse problems involving fluid flows. CFD models are used to&nbsp;simulate the behaviour of fluid flow (liquids and gases) and their interactions with various surfaces.&nbsp;<\/p>\n\n\n\n<p>A crucial part of setting up a CFD simulation is the creation of a mesh, which is the division of the&nbsp;computational domain into small, discrete cells or elements. This process is also described as the&nbsp;discretization of the geometry into a mesh.&nbsp;<strong><sub><em>Virtual prototype of an anaerobic digester implemented by Modela. (a) digester domain, (b) implemented mesh, and (c) lateral views of the mesh<\/em>.&nbsp;&nbsp;<\/sub><\/strong><\/p>\n\n\n\n<p>The mesh plays a critical role in CFD simulations as it directly influences its accuracy, stability, and&nbsp;computational cost. A well-constructed mesh can accurately capture the complexities of the flow,&nbsp;leading to reliable simulation results. Conversely, a poorly designed mesh can result in significant&nbsp;errors, making the simulation less trustworthy.<\/p>\n\n\n\n<p>For each cell of the mesh, the transport phenomena equations of the model must be solved&nbsp;in order to&nbsp;simulate the process&nbsp;in question. The implementation of the mesh is crucial to properly solve this&nbsp;system of equations, whether it is to simulate the dispersion rate of an industrial effluent, residence&nbsp;time in an agitated tank, or the airflow efficiency of diffusers.&nbsp;<strong>Virtual prototype of a stirred tank. (a) tank domain, (b) implemented mesh (sectional view), and (c) views of the mesh, other sectional plane and upper view.&nbsp;<\/strong><sub>&nbsp;<\/sub><sub>Source: Sadino\u2010Riquelme, M. C., Rivas, J., Jeison, D.,&nbsp;Donoso\u2010Bravo, A., &amp; Hayes, R. E. (2022). Computational modelling of mixing&nbsp;tanks for bioprocesses: Developing a comprehensive workflow. The Canadian Journal of Chemical Engineering, 100(11), 3210-3226.<\/sub><\/p>\n\n\n\n<p>At&nbsp;Modela, we understand how important the quality of the mesh is for the success of our virtual&nbsp;prototypes.&nbsp;Its implementation requires adherence to objective quality metrics,&nbsp;allowing&nbsp;our&nbsp;simulations to be&nbsp;both accurate and stable. However, the unique challenge presented by each&nbsp;geometry means there is no one-size-fits-all approach to mesh creation. This lack of standardisation&nbsp;demands exceptional creativity, patience and skill.&nbsp;<\/p>\n\n\n\n<p>And yet, this investment of creativity and patience is richly rewarded, both in terms of solutions and&nbsp;proposals for our clients and in terms of the unexpectedly beautiful patterns that the modelling can&nbsp;yield.&nbsp;<\/p>\n\n\n\n<p>This pair of butterflies appeared in a recent prototype for a mechanical agitator and served as a&nbsp;beautiful reminder of our driving force, to advance sustainability efforts across the industry.&nbsp;<\/p>\n\n\n\n<p>So,&nbsp;&nbsp;the mesh is both an art and a science.<\/p>\n\n\n\n<p><strong><sub><em>Virtual prototype of a portion of the sea in the north of Chile, implemented by Modela. (a) views of the sea domain, and (b) views of the mesh, from above and at the bottom<\/em>.&nbsp;<\/sub><\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">FAQs<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>1. How do you determine the optimal size mesh cells to balance accuracy and computational cost,&nbsp;especially for complex geometries?<\/strong><\/h4>\n\n\n\n<p>The process of determining the optimal size of mesh cells is a critical step in ensuring the accuracy&nbsp;and efficiency of Computational Fluid Dynamics (CFD) simulations. For complex geometries, we start&nbsp;by identifying areas where fluid flow variations are expected to be significant. In these regions,&nbsp;smaller cells are used to capture detailed flow patterns accurately. Conversely, larger cells can be&nbsp;applied in areas with minimal flow variation to reduce computational demand. This approach,&nbsp;known as mesh refinement, is guided by preliminary simulation results and a theoretical&nbsp;understanding of the fluid dynamics involved. Techniques like adaptive mesh refinement, where the&nbsp;mesh adjusts dynamically based on flow characteristics, are also employed to optimize the balance&nbsp;between accuracy and efficiency.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>2. What specific metrics are used to evaluate the quality of the mesh, and how do these metrics&nbsp;influence the outcome of the simulation?<\/strong><\/h4>\n\n\n\n<p>Several metrics are crucial for evaluating the quality of the mesh in CFD simulations. These include&nbsp;objective indicators for skewness, aspect ratio, and orthogonality, among others.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Aspect Ratio<\/strong>\u00a0evaluates the elongation of a cell, where a high aspect ratio may lead to\u00a0numerical diffusion errors.<\/li>\n\n\n\n<li><strong>Skewness<\/strong>\u00a0measures how far a cell deviates from the ideal shape, which could affect the\u00a0accuracy of gradient calculations within the cell.<\/li>\n\n\n\n<li><strong>Orthogonality<\/strong>\u00a0assesses the angle between faces and edges of cells, as angles far from 90\u00b0 can\u00a0impair the precision of the results.\u00a0<\/li>\n<\/ul>\n\n\n\n<p>Adjustments are made based on these metrics to improve mesh quality, directly influencing the&nbsp;simulation\u2019s outcome by enhancing accuracy and reducing numerical errors.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>3. Can you provide examples of how a well-constructed mesh has directly impacted the success of a&nbsp;particular project or simulation, highlighting the challenges and solutions encountered?<\/strong><\/h4>\n\n\n\n<p>An example would be&nbsp;a project aimed at assessing the design of an industrial diffuser for the&nbsp;discharge of brine. The carefully designed mesh enabled us to accurately simulate the dispersion of&nbsp;the plume. By implementing a refined mesh with smaller cells in areas around the effluent discharge&nbsp;points, we could capture the complex flow patterns and the buoyancy of the plume. This level of&nbsp;detail allows for proposing design and operational modifications that could significantly improve the&nbsp;efficiency of the plume dispersion and, as a result, ensure a minimal impact to the environment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computational Fluid Dynamics (CFD) is a branch of fluid mechanics that uses numerical methods and&nbsp;computational science to solve and analyse problems involving fluid flows. CFD models are used to&nbsp;simulate the behaviour of fluid flow (liquids and gases) and their interactions with various surfaces.&nbsp; A crucial part of setting up a CFD simulation is the creation [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":3482,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3488","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sin-categoria"],"_links":{"self":[{"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/posts\/3488","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/comments?post=3488"}],"version-history":[{"count":1,"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/posts\/3488\/revisions"}],"predecessor-version":[{"id":3489,"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/posts\/3488\/revisions\/3489"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/media\/3482"}],"wp:attachment":[{"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/media?parent=3488"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/categories?post=3488"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dev.antudigital.cl\/sites\/modelacfd\/wp-json\/wp\/v2\/tags?post=3488"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}