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

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.