GPU-Accelerated LBM-IBM Framework for Modeling Multiphysics Microscale Flows in MEMS Actuators

GPU-Accelerated LBM-IBM Framework for Modeling Multiphysics Microscale Flows in MEMS Actuators | 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 GPU-Accelerated LBM-IBM Framework for Modeling Multiphysics Microscale Flows in MEMS Actuators T. Pravinraj This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7680599/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 This work presents a GPU-accelerated numerical framework based on the Lattice Boltzmann Method (LBM) coupled with the Immersed Boundary Method (IBM) for simulating microscale rotating structures. The framework is developed to support the design and optimization of MEMS-based actuators, where accurate modeling of fluid–structure interactions is critical. High-resolution simulations are enabled through GPU parallelization, capturing unsteady flow behavior with enhanced spatial and temporal fidelity. A Smagorinsky-based Large Eddy Simulation (LES) model is incorporated to resolve turbulence effects at high Reynolds numbers. The model is validated using a benchmark case of flow past a cylinder, showing close agreement with reference drag coefficients. A case study involving a microscale rotor evaluates key actuation metrics including torque generation, pseudo-power coefficient, and flow structures such as vortex shedding and tip-induced turbulence. The results demonstrate the framework’s capability to resolve complex flow physics relevant to microactuation, while maintaining computational efficiency. This approach is particularly applicable to MEMS, biomedical microdevices, and microfluidic actuators, where Multiphysics coupling and accuracy at small scales is essential. Lattice Boltzmann Method MEMS rotor Immersed Boundary Method Fluid-structure Interaction GPU acceleration 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-7680599","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":538617234,"identity":"73dc554b-ec79-4005-b5a2-95635cc55036","order_by":0,"name":"T. 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