{"id":4900,"date":"2023-02-01T13:17:07","date_gmt":"2023-02-01T06:17:07","guid":{"rendered":"https:\/\/sigmasolutions.co.th\/?p=4900&#038;preview=true&#038;preview_id=4900"},"modified":"2025-04-09T14:20:43","modified_gmt":"2025-04-09T07:20:43","slug":"xflow","status":"publish","type":"post","link":"https:\/\/sigmasolutions.co.th\/en\/xflow\/","title":{"rendered":"SIMULIA XFlow\/PowerFLOW"},"content":{"rendered":"<p class=\"has-black-color has-text-color\">XFlow is a particle-based Lattice Boltzmann technology solver for high fidelity Computational Fluid Dynamics (CFD) applications as a part of SIMULIA\u2019s Fluids Simulation portfolio. XFlow offers multiphase and moving parts modeling capabilities specially focused on lubrication workflows such as gearboxes and electric motor drives.\n<br><br>\nXFlow\u2019s automatic lattice generation and adaptive refinement capabilities minimize user inputs thereby reducing time and effort in the meshing and pre-processing phase of a typical CFD workflow. This enables engineers to focus the majority of their efforts on design iteration and optimization, rather than the time consuming meshing process.\n<br><br>\nWith XFlow\u2019s discretization approach, surface complexity is also not a limiting factor. The underlying lattice can be controlled with a small set of parameters; the lattice is tolerant to the quality of the input geometry and adapts to the presence of moving parts.\n<br><br>\nIn addition, advanced rendering capabilities provide realistic visualization to gain deeper insight into flow and thermal performance. XFlow\u2019s unique capabilities enable companies to reduce physical testing while making to make better design decisions faster.<\/p>\n\n\n\n<div style=\"height:69px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n\t\t<!-- MasterSlider -->\n\t\t<div id=\"P_MS69ea01cbb0c8c\" class=\"master-slider-parent msl ms-parent-id-11\" style=\"max-width:800px;\">\n\n\t\t\t\n\t\t\t<!-- MasterSlider Main -->\n\t\t\t<div id=\"MS69ea01cbb0c8c\" class=\"master-slider ms-skin-default\" >\n\t\t\t\t \t\t\t\t \n\t\t\t\t<div  class=\"ms-slide\" data-delay=\"3\" data-fill-mode=\"fit\"  >\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/sigmasolutions.co.th\/wp-content\/plugins\/master-slider\/public\/assets\/css\/blank.gif\" alt=\"\" title=\"\" 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'swipe',\n\t\t\t\t\t\tview            : \"basic\"\n\t\t\t\t});\n\n\t\t\t\t\n\t\t\t\twindow.masterslider_instances = window.masterslider_instances || [];\n\t\t\t\twindow.masterslider_instances.push( masterslider_0c8c );\n\t\t\t });\n\n\t\t})(jQuery);\n\t\t<\/script>\n\n\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/sigmasolutions.co.th\/en\/trunk\/file\/17122019131519__XFlow2019x_Brochure.pdf\/\" target=\"_blank\" rel=\"noreferrer noopener\">XFlow Brochure<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/sigmasolutions.co.th\/en\/trunk\/file\/17122019131540__XFlow2019x_Datasheet.pdf\/\" target=\"_blank\" rel=\"noreferrer noopener\">XFlow Datasheet<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.youtube.com\/user\/XFlowCFD\" target=\"_blank\" rel=\"noreferrer noopener\">VDO LINK<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<p class=\"has-black-color has-text-color\"><strong>Highlights<\/strong><\/p>\n\n\n\n<p><\/p>\n\n\n\n<ul class=\"has-black-color has-text-color wp-block-list\">\n<li>Single phase flow model, Free-surface flow model, Radiation Montecarlo model<\/li>\n\n\n\n<li>Multiphase flow models: Particle-based tracking, Phase Field and VoF<\/li>\n\n\n\n<li>Conjugate Heat Transfer (CHT) boundary condition<\/li>\n\n\n\n<li>Scalar transport<\/li>\n\n\n\n<li>Discrete Phase Model (DPM)<\/li>\n\n\n\n<li>Non-Newtonian flows<\/li>\n\n\n\n<li>Advance boundary conditions, including porous media and fan model<\/li>\n\n\n\n<li>Moving parts with enforced behavior, Moving parts with rigid body dynamics up to 6 degrees of freedom<\/li>\n\n\n\n<li>Fluid-Structure Interaction (FSI) with Abaqus, Simpack and FMU&nbsp;<\/li>\n\n\n\n<li>Acoustics analysis, Thermal analysis, Vibroacoustics analysis with Wave6<\/li>\n<\/ul>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>\u0e0b\u0e2d\u0e1f\u0e15\u0e4c\u0e41\u0e27\u0e23\u0e4c\u0e2a\u0e33\u0e2b\u0e23\u0e31\u0e1a\u0e27\u0e34\u0e40\u0e04\u0e23\u0e32\u0e30\u0e2b\u0e4c\u0e14\u0e49\u0e32\u0e19\u0e1e\u0e25\u0e28\u0e32\u0e2a\u0e15\u0e23\u0e4c (Computational Fluid Dynamics: CFD) \u0e22\u0e38\u0e04\u0e43\u0e2b\u0e21\u0e48\u0e17\u0e35\u0e48\u0e43\u0e0a\u0e49\u0e01\u0e32\u0e23\u0e04\u0e33\u0e19\u0e27\u0e13\u0e41\u0e1a\u0e1a Particle Base \u0e2b\u0e23\u0e37\u0e2d Meshless \u0e40\u0e17\u0e04\u0e42\u0e19\u0e42\u0e25\u0e22\u0e35\u0e17\u0e35\u0e48\u0e17\u0e33\u0e43\u0e2b\u0e49\u0e01\u0e32\u0e23\u0e04\u0e33\u0e19\u0e27\u0e13\u0e14\u0e49\u0e32\u0e19\u0e01\u0e32\u0e23\u0e44\u0e2b\u0e25\u0e01\u0e49\u0e32\u0e27\u0e02\u0e49\u0e32\u0e21\u0e04\u0e27\u0e32\u0e21\u0e22\u0e32\u0e01\u0e25\u0e33\u0e1a\u0e32\u0e01\u0e43\u0e19\u0e14\u0e49\u0e32\u0e19\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e40\u0e2d\u0e25\u0e34\u0e40\u0e21\u0e19\u0e15\u0e4c\u0e17\u0e35\u0e48\u0e22\u0e38\u0e48\u0e07\u0e22\u0e32\u0e01\u0e41\u0e25\u0e30\u0e43\u0e0a\u0e49\u0e40\u0e27\u0e25\u0e32\u0e19\u0e32\u0e19 \u0e1b\u0e23\u0e30\u0e01\u0e2d\u0e1a\u0e01\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e04\u0e33\u0e19\u0e27\u0e13\u0e41\u0e1a\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e02\u0e2d\u0e07\u0e2d\u0e19\u0e38\u0e20\u0e32\u0e04\u0e17\u0e33\u0e43\u0e2b\u0e49\u0e40\u0e04\u0e23\u0e37\u0e48\u0e2d\u0e07\u0e04\u0e2d\u0e21\u0e1e\u0e34\u0e27\u0e40\u0e15\u0e2d\u0e23\u0e4c Desktop \u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b \u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e04\u0e33\u0e19\u0e27\u0e13\u0e1b\u0e31\u0e0d\u0e2b\u0e32\u0e14\u0e49\u0e32\u0e19\u0e01\u0e32\u0e23\u0e44\u0e2b\u0e25\u0e02\u0e19\u0e32\u0e14\u0e43\u0e2b\u0e0d\u0e48\u0e44\u0e14\u0e49 \u0e41\u0e25\u0e30\u0e21\u0e35\u0e04\u0e27\u0e32\u0e21\u0e41\u0e21\u0e48\u0e19\u0e22\u0e33\u0e02\u0e2d\u0e07\u0e01\u0e32\u0e23\u0e1b\u0e23\u0e30\u0e21\u0e27\u0e25\u0e1c\u0e25\u0e2a\u0e39\u0e07 \u0e2d\u0e35\u0e01\u0e17\u0e31\u0e49\u0e07\u0e22\u0e31\u0e07\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e04\u0e33\u0e19\u0e27\u0e13\u0e04\u0e27\u0e1a\u0e23\u0e27\u0e21\u0e01\u0e31\u0e19\u0e01\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e02\u0e2d\u0e07\u0e27\u0e31\u0e15\u0e16\u0e38\u0e40\u0e1e\u0e37\u0e48\u0e2d\u0e14\u0e39\u0e1b\u0e0f\u0e34\u0e2a\u0e31\u0e21\u0e1e\u0e31\u0e19\u0e18\u0e4c\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e01\u0e32\u0e23\u0e40\u0e04\u0e25\u0e37\u0e48\u0e2d\u0e19\u0e17\u0e35\u0e48\u0e01\u0e31\u0e1a\u0e01\u0e32\u0e23\u0e44\u0e2b\u0e25\u0e2b\u0e23\u0e37\u0e2d\u0e23\u0e30\u0e2b\u0e27\u0e48\u0e32\u0e07\u0e01\u0e32\u0e23\u0e44\u0e2b\u0e25\u0e01\u0e31\u0e1a\u0e42\u0e04\u0e23\u0e07\u0e2a\u0e23\u0e49\u0e32\u0e07\u0e02\u0e2d\u0e07\u0e27\u0e31\u0e15\u0e16\u0e38&nbsp;\u0e0b\u0e36\u0e48\u0e07\u0e44\u0e21\u0e48\u0e2a\u0e32\u0e21\u0e32\u0e23\u0e16\u0e17\u0e33\u0e44\u0e14\u0e49\u0e43\u0e19\u0e0b\u0e2d\u0e1f\u0e15\u0e4c\u0e41\u0e27\u0e23\u0e4c CFD \u0e17\u0e31\u0e48\u0e27\u0e44\u0e1b Highlights<\/p>","protected":false},"author":1,"featured_media":4901,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[49,32],"tags":[],"class_list":["post-4900","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-computational-fluid-dynamics2","category-dassault-systemes"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.14 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>SIMULIA XFlow\/PowerFLOW - SIGMA Solutions<\/title>\n<meta name=\"description\" content=\"\u0e0b\u0e2d\u0e1f\u0e15\u0e4c\u0e41\u0e27\u0e23\u0e4c CFD 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