Simulation, Optimization and Multi analysis of PCM-based Skeletal Heat exchanger: A Parametric Investigation of Skeletal Fin Geometry and Internal Thickness - PCM on Exergy efficiency, Exergy storage, Overall performance, Entropy, and Energy

Parametric Optimization and Multi analysis of Skeletal Fin Heat exchanger with Integrated PCM: Advancing Thermal management for Electronics Systems | 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 Parametric Optimization and Multi analysis of Skeletal Fin Heat exchanger with Integrated PCM: Advancing Thermal management for Electronics Systems FF This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6222453/v3 This work is licensed under a CC BY 4.0 License Status: Posted Version 3 posted You are reading this latest preprint version Show more versions Abstract This study investigates dependent factors such as parameters of geometry which effect of design factors on temperature on the top of fins, temperature variation, the energy storage rate, thermal energy, the surface Nusselt number and the surface Stanton Number. The authors give insights into the link between design factors and thermal performance, allowing for a thorough computational fluid dynamic study of the data. The authors have examined relationship between factors of design and thermal performance indicators with integrated phase change materials, considering material properties, and design parameters. The adding skeletal fin step by step is the most significant et contributes to temperature variation, output temperature, thermal energy storage rate, density of the thermal energy storage, thermal energy storage, surface Nusselt number, and surface Stanton number. The relationship and regression model between temperature variation and temperature output on top has 99% R 2 value; and between energy storage rate and density of thermal energy storage, and temperature variation has the relationship with 78%R 2 value. However, the analyses show the reducing of the errors between simplified and detailed analysis of variance equal to 46% for temperature on the top of skeletal fins, 46.5% for temperature variation, 27% for energy storage rate, 0% for density of thermal energy and thermal energy storage, 6% for surface Nusselt number, and surface Stanton number. Finally, a parametric simulation is carried out to investigate the percentage of contribution and impact of significant performance parameters on the skeletal heat exchanger characteristics of the respective skeletal heat exchanger type. Phase change materials ANOVA computational fluid dynamic parametric simulation skeletal fin heat exchanger Full Text Additional Declarations The authors declare no competing interests. Supplementary Files Supplementarymaterials.docx Cite Share Download PDF Status: Posted Version 3 posted You are reading this latest preprint version Show more versions 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. 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