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Internal Flow Field Analysis And Lubrication Optimization Of Anti-backlash Roller Enveloping Hourglass Worm Gear

Posted on:2022-02-13Degree:MasterType:Thesis
Country:ChinaCandidate:S S WangFull Text:PDF
GTID:2492306551980849Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the development and progress of the society,for the demand of reducer and the performance index is also growing.In the research process of the reducer,the reducer lubrication research is one of the important and difficult.The study can not only find out the bad lubrication position in the transmission process,but also provide the basis for reducing the oil loss of the reducer,thus further improve the overall performance of the reducer.By combined analysis of the simulation and experimental method,the internal flow field of anti-backlash roller enveloping hourglass worm(AREHW)gear is studied.Firstly,through computational fluid dynamics(CFD),the oil loss,the number of oil particles in the meshing area,the oil distribution and the oil pressure distribution under different lubrication conditions are analyzed.Then,the correctness of the simulation results is verified by experiment.Finally,the Taguchi method is used to optimize the parameters related to the lubrication performance of the reducer,and the optimal lubrication parameters of the AREHW gear is obtained.In this paper,the main research contents and results are as follows:1.Due to the complexity of worm gear meshing surface,for the traditional finite volume method(FVM),it is difficult to divide high-quality grids,and negative volume is easy to occur in the simulation process,leading to the failure of simulation.Therefore,the moving particle simulation(MPS)method is used to study the internal flow field of AREHW gear.The results showed that MPS method for containing complex surface flow field analysis has good applicability,and by meshless simulation technology solves the problem of complex curved surface meshing accuracy.2.The moving particle semi-implicit(MPS)method is proposed to find out impacts of ration speed,immersion depth,worm arrangement,viscosity of lubricant on the churning loss and number of oil particles in meshing area.The results show that the churning loss increases with the increase of worm speed,immersion depth and viscosity of lubricant,and the churning loss of the worm at the bottom is obviously higher than that of the worm at the top.The number of oil particles in the meshing area can reach a relatively stable level under different worm speeds,viscosity of lubricant and different worm placement modes,which is conducive to tooth surface lubrication,but when the immersion depth is 8mm or 22 mm,the number of oil particles in the meshing area cannot reach a relatively stable state,which is not conducive to tooth surface lubrication and will lead to intensified tooth surface wear.3.The size of the churning loss and the number of oil particles in the meshing area are taken as the optimization objectives,and using the Taguchi Method,the key parameters(oil viscosity,immersion depth,rotation speed of the worm gear,worm arrangement,and volume of oil recess)of the AREHW gear are optimized and analyzed.The results show that the Taguchi Method is used to obtain two groups of optimal parameter values.In the two groups of optimization parameters,the churning loss and the number of oil particles in the meshing region are respectively 0.0425 W,6025 W and 0.0605W、12294.Compared the two groups of optimization parameters,the optimization result of the second group of parameters is better,the reason is that although the churning loss of the first group is slightly lower than that of the second group,the number of oil particles in the meshing area of the second group is much higher than that of the first group.Moreover,in the comparison between the optimized simulation results and the theoretical values of Taguchi Method,the S/N ratio of the second group(80.61%)is closer to the theoretical value calculated by Taguchi Method than that of the first group(68.51%).
Keywords/Search Tags:Lubrication Performance, MPS method, Churning Loss, Optimization
PDF Full Text Request
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