为了实现空气预滤器瞬态内流场的数值模拟，为新型高效空气预滤器的设计和性能优化提供一种有效的计算方法。运用FARO-LDI三维激光扫描测量系统对旋转自洁式空气预滤器进行逆向建模，建立了其全流道三维几何模型；利用ANSYS ICEM CFD对内流道模型进行混合网格划分；采用Fluent中用户自定义函数和多流动区域耦合算法中的滑移网格模型实现了旋转器叶轮的被动旋转。湍流模型选为RNG k-ε模型，压力速度耦合算法采用SIMPLE算法，压力离散格式采用PRESTO格式，动量方程的扩散项和压力项采用中心差分格式，对流项采用一阶迎风格式。研究结果表明，运用该方法能够准确计算空气预滤器内部流场和模拟旋转器叶轮的被动旋转状态。
Abstract
An effective computational method is provided for the design and performance optimization of new efficient air pre-filter. The method can be used for the numerical simulation of transient turbulent flow in air pre-filter. A 3D geometric model of rotary self-cleaning air pre-filter flow channel is established by FARO-LDI 3D laser scanning measurement system which is used for reverse modeling. The hybrid grid of flow channel is generated by ANSYS ICEM CFD. The passive rotation of the rotating impeller is achieved by the user-defined function and the sliding mesh model of the multi-flow region coupling algorithm in Fluent. The RNG k-ε turbulence model and PRESTO pressure discrete format are used in the simulation, SIMPLE algorithm with first order upwind format is used for pressure-velocity coupling, and the central difference scheme is also used in the diffusion and pressure terms of the momentum equation. The results show that this method can be used accurately to calculate the flow field of air pre-filter and simulate the passive rotation state of rotating impeller.
关键词
流体力学 /
空气预滤器 /
逆向工程 /
计算流体力学 /
用户自定义函数 /
数值模拟
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Key words
fluid mechanics /
air pre-filter /
reverse engineering /
computational fluid dynamics /
user-defined function /
numerical simulation
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