{"id":7780,"date":"2023-03-08T09:25:54","date_gmt":"2023-03-08T08:25:54","guid":{"rendered":"https:\/\/cnrm.uniri.hr\/?page_id=7780"},"modified":"2023-03-08T09:27:25","modified_gmt":"2023-03-08T08:27:25","slug":"experimental-and-lbm-analysis-of-medium-reynolds-number-fluid-flow-around-naca0012-airfoil","status":"publish","type":"page","link":"https:\/\/cnrm.uniri.hr\/hr\/experimental-and-lbm-analysis-of-medium-reynolds-number-fluid-flow-around-naca0012-airfoil\/","title":{"rendered":"Experimental and LBM analysis of medium-Reynolds number fluid flow around NACA0012 airfoil"},"content":{"rendered":"<style>\nul {list-style-position: outside;text-align: justify;}\n<\/style>\n<p style=\"text-align: left;\"><strong><a href=\"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/HFF-06-2022-0389\/full\/html\">Rak, A., Grb\u010di\u0107, L., Sikirica, A., Kranj\u010devi\u0107, L.<\/p>\n<p>Experimental and LBM analysis of medium-Reynolds number fluid flow around NACA0012 airfoil<br \/>\nInternational Journal of Numerical Methods for Heat &#038; Fluid Flow, (2023), doi.org\/10.1108\/HFF-06-2022-0389, (quartile Q1)<\/a><\/strong><\/p>\n<p>&nbsp;<br \/>\n<strong>Abstract:<\/strong><\/p>\n<p style=\"text-align: justify;\"><em>Purpose<\/em><br \/>\nThe purpose of this paper is the examination of fluid flow around NACA0012 airfoil, with the aim of the numerical validation between the experimental results in the wind tunnel and the Lattice Boltzmann method (LBM) analysis, for the medium Reynolds number (Re = 191,000). The LBM\u2013large Eddy simulation (LES) method described in this paper opens up opportunities for faster computational fluid dynamics (CFD) analysis, because of the LBM scalability on high performance computing architectures, more specifically general purpose graphics processing units (GPGPUs), pertaining at the same time the high resolution LES approach.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><em>Design\/methodology\/approach<\/em><br \/>\nProcess starts with data collection in open-circuit wind tunnel experiment. Furthermore, the pressure coefficient, as a comparative variable, has been used with varying angle of attack (2\u00b0, 4\u00b0, 6\u00b0 and 8\u00b0) for both experiment and LBM analysis. To numerically reproduce the experimental results, the LBM coupled with the LES turbulence model, the generalized wall function (GWF) and the cumulant collision operator with D3Q27 velocity set has been used. Also, a mesh independence study has been provided to ensure result congruence.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><em>Findings<\/em><br \/>\nThe proposed LBM methodology is capable of highly accurate predictions when compared with experimental data. Besides, the special significance of this work is the possibility of experimental and CFD comparison for the same domain dimensions.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\"><em>Originality\/value<\/em><br \/>\nConsidering the quality of results, root-mean-square error (RMSE) shows good correlations both for airfoil\u2019s upper and lower surface. More precisely, maximal RMSE for the upper surface is 0.105, whereas 0.089 for the lower surface, regarding all angles of attack.<\/p>\n<p><center><img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/cnrm.uniri.hr\/upload\/2023\/03\/rak_1.png\" alt=\"\" width=\"600\" height=\"500\" style=\"padding: 25px;\" \/> <img decoding=\"async\" loading=\"lazy\" src=\"https:\/\/cnrm.uniri.hr\/upload\/2023\/03\/rak_2.png\" alt=\"\" width=\"600\" height=\"500\" style=\"padding: 25px;\" \/><\/center><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Rak, A., Grb\u010di\u0107, L., Sikirica, A., Kranj\u010devi\u0107, L. Experimental and LBM analysis of medium-Reynolds number fluid flow around NACA0012 airfoil International Journal of Numerical Methods for Heat &#038; Fluid Flow, (2023), doi.org\/10.1108\/HFF-06-2022-0389, (quartile Q1) &nbsp; Abstract: Purpose The purpose of&hellip;&nbsp;<a href=\"https:\/\/cnrm.uniri.hr\/hr\/experimental-and-lbm-analysis-of-medium-reynolds-number-fluid-flow-around-naca0012-airfoil\/\" class=\"more-link\">Read More<\/a><\/p>\n","protected":false},"author":17,"featured_media":7799,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"templates\/builder.php","meta":{"_links_to":"","_links_to_target":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/pages\/7780"}],"collection":[{"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/comments?post=7780"}],"version-history":[{"count":15,"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/pages\/7780\/revisions"}],"predecessor-version":[{"id":7798,"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/pages\/7780\/revisions\/7798"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/media\/7799"}],"wp:attachment":[{"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/media?parent=7780"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/categories?post=7780"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cnrm.uniri.hr\/hr\/wp-json\/wp\/v2\/tags?post=7780"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}