To address the challenges posed by existing numerical simulation techniques
which often encounter issues of jamming and low efficiency when simulating the flow of biomass particles mixed with fluid in curved pipes
this paper introduces a novel boundary identification method. This method aims to accurately identify complex customized curved boundaries. Furthermore
the effectiveness and accuracy of both LBM-DEM-IMB and the proposed algorithms are validated through simulations of fluid-particle flow within customized curved boundaries. The results indicate that the curvilinear boundary identification method exhibits high feasibility and accuracy in delineating smooth curvilinear boundaries. Moreover
it aptly captures the effects of curvilinear boundaries on particle flow behavior
including particle retention in pipe craters and the occurrence of Rayleigh-Taylor instability during the free settling of particles in curved pipes. This study provides an effective numerical calculation method to enhance the computational capability of IMB for fluid-particle systems within curved boundaries. Additionally
it offers insights into particle flow dynamics
with the ultimate goal of improving the transportation and processing efficiency of biomass particles and similar materials.
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