Impact of dissipative heat energy on the conducting Jeffery–Hamel KKL based nanofluid model: A numerical approach

Impact of dissipative heat energy on the conducting Jeffery–Hamel KKL based nanofluid model: A numerical approach | 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 Impact of dissipative heat energy on the conducting Jeffery–Hamel KKL based nanofluid model: A numerical approach P. Chandini Pattanaik, S. R. Mishra, S. Jena This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1947801/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract The nanoparticles migration from the conventional buongirnio model is useful in several industrial applications as well as engineering and biomedical. Even if the blood flows through artery, the drug delivery process, etc. are more recent phenomena that are beneficial for the use of nanoparticles in the conventional liquid. Based upon the characteristics, the present study reveals the flow of conducting Jeffery-Hamel nanofluid for the inclusion of KKL (Koo - Kleinstreuer - Li) model conductivity within a stretching/shrinking channel surface as well as channel angle. Additionally, influence of dissipative for the interaction of both Joule and viscous and the radiative heat enrich the profiles significantly. The water-based nanoliquid is immersed with the CuO nanoparticle enhances the flow properties like thermal conductivity, viscosity, etc. Numerical treatment is adopted with the help of shooting based Runge-Kutta to carry forward the solutions for the flow profiles. The heat transfer rate as well as shear rate is deployed for the various parameters and analyzed their behaviors briefly. Jeffery-Hamel nanofluid model Joule dissipation KKL model Shooting based numerical method Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 16 Jul, 2025 Reviews received at journal 05 Nov, 2022 Reviews received at journal 27 Oct, 2022 Reviewers agreed at journal 27 Oct, 2022 Reviewers agreed at journal 26 Oct, 2022 Reviewers invited by journal 25 Oct, 2022 Editor assigned by journal 22 Oct, 2022 Submission checks completed at journal 16 Aug, 2022 First submitted to journal 10 Aug, 2022 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-1947801","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":129191528,"identity":"72af2b2c-7fad-48dd-b063-45ff22042648","order_by":0,"name":"P. 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