CFD-Based Optimization Design Methods Of Aviation Oil Filter

The optimization design of aviation oil filter has been researched by the computational fluid dynamics (CFD) method in this paper. The two main performance indicators:pressure loss and filtration efficiency have been considered in the calculation. The numerical model is established by using three-dimensional modeling software UG, the application of mesh applies GAMBIT software in this paper. The effects of resistance of the filter is simulated based on the porous media model, and the filter is replaced by porous jump surfaces (porous jump) to imitate the filter pressure drop in this paper. The filtration efficiency is simulated by the discrete phase model (DPM), and the user-defined function (UDF) is applied to the surface of the porous jump for trapping particles in the calculation. Firstly, the pressure loss and filtration efficiency of aviation oil filter are separately calculated by changing the inlet velocity. The influence of the size of inlet velocity on the work performance of oil filter are carried out.Secondly, The imported direction is divided into five cases, The angular positions are0°,30°,45°,60°,90°. The pressure loss and the filtration efficiency have been simulated in five different structures, and the inlet velocity is taken as1m/s,3m/s,5m/s,7m/s,9m/s in the calculation. By comparison, we can get the optimal structure. In addition, the influence of the particle concentration on the performance of the oil filter are presented. The particles are divided into five cases (1000,3000,5000,7000,9000). In data processing, we applied the linear regression curve approach to process the results, and obtained each optimal trend graph of the result data, so that it is easy to analyze the results. Finally, the number of filter sheet has been changed in the calculation, the number of sheets are taken as6,7,8,9. the pressure loss and filtering efficiency have also been researched under different inlet velocity. Through the above calculation and analysis, it enables us to better understand the aviation oil filter’s work rules, and to find ways to improve the work performance of the aviation oil filter. The conclusions will be a relevant reference for the aviation oil filter structure optimization.