Numerical Simulation and Parameter Optimization of Air Slide Based on CFD-DEM
Source abstract
Abstract
The aim of this study was to investigate the influence of operational and design parameters on the conveying efficiency and material layer stability of air slides and to optimize the parameters of the XZ200 air slide. A gas–solid coupled simulation of the conveying process was conducted using ANSYS v2023 and Rocky v23R1 software. Three key variables—inclination angle, input air velocity, and permeable layer porosity—were analyzed to evaluate their effects on wheat flour conveying efficiency and layer stability. Orthogonal experiments and matrix analysis were applied to comprehensively assess the numerical simulation results. The findings reveal that the conveying ratio is positively correlated with input air velocity and inclination angle but negatively correlated with permeable layer porosity. Meanwhile, material layer fluctuation and stability increase with inclination angle but decrease with higher porosity. Through orthogonal testing and matrix analysis, the optimal parameter combination was determined as follows: input air velocity of 1.8 m/s, porosity of 37.84%, inclination angle of 6°, conveying ratio of 96.52%, and material layer fluctuation of 4.39 mm. This study provides a reference methodology for gas–solid coupled simulation in air slide design and offers practical guidance for parameter optimization in air slide systems.
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Research context
OpenAlex topics: Landslides and related hazards · Fluid Dynamics Simulations and Interactions · Soil Mechanics and Vehicle Dynamics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Mechanical and Electrical Engineering, Henan University of Technology, Zhengzhou 450001, China
Funding
Natural Science Project of Henan Provincial Department of Science and Technology—Key Scientific and Technological Project—Research on Controllable Micro-quality and Energy-saving Technology Application in Wheat Flour Milling Process · Joint Fund of Henan Provincial Science and Technology Research and Development Program—Mechanism and Application Research on Moderate Processing of Intelligent Wheat Milling Equipment
References (21)
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