Computational Analysis of the Impacts of Inner Obstacles and Periodic Heating on Heat Transfer for Natural Convection Fluid Flow Inside a Square Chamber

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Abstract The results of this research have wide-ranging engineering and industrial implications , especially in the areas of electronic cooling, industrial heat exchangers, energy-efficient building design, and thermal management system optimization. The results advance energy storage technology, improve thermal insulation techniques, and improve HVAC system performance. The findings are also useful for microfluidic devices and aerodynamic design, whenever appropriate regulation of fluid flow as well as warmth exchange is crucial for dependability and efficiency. Here uses the finite element Galerkin method to examine transmission of heat properties and natural convection circulate movement in a square cavity with an inside insulated rectangular obstruction. The cavity’s right boundary is maintained at a steady cold the outside temperature , the upper layer and obstacle walls are adiabatic, and the left and bottom walls are heated unevenly. With COMSOL Multiphysics, the Boussinesq approximation-based governing equations for steady-state natural convection (NC) are numerically resolved. To guarantee the accuracy of the solution, a grid independence test is performed. For Ra ranging from 103 to 106 , the impacts of Rayleigh number (Ra) on velocity, isotherm contours, and Nusselt number distribution are examined. The findings indicate that raising Ra promotes convective motion, which causes heat transfer to move from regimes dominated by conduction to those dominated by convection. Ra considerably raises maximum velocity, and temperature gradients close to heated and cooled walls get steeper. As Ra increases, the Nusselt number distribution shows better convective heat transmission, especially at the bottom and left heated walls.
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Computational Analysis of the Impacts of Inner Obstacles and Periodic Heating on Heat Transfer for Natural Convection Fluid Flow Inside a Square Chamber | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Computational Analysis of the Impacts of Inner Obstacles and Periodic Heating on Heat Transfer for Natural Convection Fluid Flow Inside a Square Chamber Md. Ashikur Rahman, Sadia Islam, Rukaya Parven, Md. Aslam Hossain This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6287315/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The results of this research have wide-ranging engineering and industrial implications , especially in the areas of electronic cooling, industrial heat exchangers, energy-efficient building design, and thermal management system optimization. The results advance energy storage technology, improve thermal insulation techniques, and improve HVAC system performance. The findings are also useful for microfluidic devices and aerodynamic design, whenever appropriate regulation of fluid flow as well as warmth exchange is crucial for dependability and efficiency. Here uses the finite element Galerkin method to examine transmission of heat properties and natural convection circulate movement in a square cavity with an inside insulated rectangular obstruction. The cavity’s right boundary is maintained at a steady cold the outside temperature , the upper layer and obstacle walls are adiabatic, and the left and bottom walls are heated unevenly. With COMSOL Multiphysics, the Boussinesq approximation-based governing equations for steady-state natural convection (NC) are numerically resolved. To guarantee the accuracy of the solution, a grid independence test is performed. For Ra ranging from 10 3 to 10 6 , the impacts of Rayleigh number (Ra) on velocity, isotherm contours, and Nusselt number distribution are examined. The findings indicate that raising Ra promotes convective motion, which causes heat transfer to move from regimes dominated by conduction to those dominated by convection. Ra considerably raises maximum velocity, and temperature gradients close to heated and cooled walls get steeper. As Ra increases, the Nusselt number distribution shows better convective heat transmission, especially at the bottom and left heated walls. Square cavity Rectangular block Natural convection Rayleigh number Nusselt number Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6287315","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":434041446,"identity":"fe87dd4e-cd68-4a51-b099-72f9dbf0fec4","order_by":0,"name":"Md. 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