Flow Equalization Air Ring Optimization for Coal Mill Aerodynamics
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Solution Overview
Problem
Existing methods struggle to accurately obtain aerodynamic characteristics and enhance the operational efficiency of flow equalization air ring structures in medium-speed coal mills, while also improving the computational speed and accuracy of their optimization.
Innovation Solution
A method and system utilizing Fluent simulation to optimize the aerodynamic characteristics of flow equalization air ring structures in medium-speed coal mills, involving modeling, meshing, setting boundary conditions, and iterative computation to achieve convergence, with features like a real gas model and multiple reference frame (MRF) rotating regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional computation methods are used for aerodynamic optimization, then the process is simpler, but the accuracy and computational speed are insufficient
Solution Approach 1:
The patent replaces traditional empirical and simplified computational methods with advanced CFD (Computational Fluid Dynamics) simulation technology. This substitution enables high-precision aerodynamic characteristic analysis by using numerical computation to solve complex fluid flow equations, achieving both high accuracy and computational efficiency that traditional methods cannot provide.
Solution Approach 2:
The patent implements parametric optimization by systematically varying geometric parameters of the air ring structure (such as hole diameter, hole distribution, ring thickness) and analyzing their effects on aerodynamic characteristics. This approach enables precise control and optimization of flow distribution patterns while maintaining computational efficiency through structured parameter studies.
2Measurement precision
If advanced simulation methods are used, then accuracy improves, but computation time and resource usage increase
Solution Approach 1:
The patent segments the computational domain into structured mesh regions and divides the optimization process into systematic parameter studies. This segmentation allows the complex aerodynamic optimization problem to be broken down into manageable computational tasks that can be solved efficiently while maintaining high accuracy in critical flow regions.
Solution Approach 2:
The patent performs preliminary mesh generation and boundary condition setup before the actual aerodynamic simulation. By preparing the computational model in advance with optimized mesh structures and appropriate boundary conditions, the subsequent simulation runs require less computational time while maintaining high accuracy in predicting aerodynamic characteristics.
3Manufacturing precision
If detailed meshing and iterative computation are used, then computation accuracy improves, but computational resources are consumed
Solution Approach 1:
The patent applies local mesh refinement in critical flow regions such as near the air ring holes and in the coal powder injection zone, while using coarser mesh in regions with less significant flow features. This local quality approach concentrates computational resources where they are most needed, achieving high precision in flow field parameters while reducing overall computational resource consumption.
Data Source
AI summary
The present disclosure relates to a method and system for optimizing aerodynamic characteristics of a flow equalization air ring structure in a medium-speed coal mill based on Fluent simulation. The method comprises establishing and optimizing a model of the flow equalization air ring structure, meshing the model using Ansys ICEM, importing meshes, arranging an MRF rotating region on a dynamic ring structure, selecting an energy equation model, setting a DPM and a boundary condition, and adopting a modified mixture gas model based on empirical formulas for boundary conditions at an inlet and outlet, initializing computation information of a mesh node, setting a solver and performing iterative solving, after a computation result converges, performing post-processing on the computation result, storing the computation result, modifying structural parameters, and repeating the above steps to obtain a plurality of simulation results to obtain parameters of an optimal flow equalization air ring structure.