燃油泵滑动轴承设计的研究

发布时间：2019-02-22 17:38

【摘要】：本文基于流体动压润滑理论,以发动机燃油泵滑动轴承为研究对象,研究了高速低黏度润滑剂滑动轴承的设计与优化。主要工作如下：(1) 基于层流润滑理论和湍流惯性润滑理论,使用质量守恒边界条件,分别建立了高速低黏度润滑剂滑动轴承在层流条件和湍流条件下的润滑理论模型,确立了高速低黏度润滑剂滑动轴承润滑性能计算的基本过程。(2)计入润滑剂黏度与压力关系,进行了高速低黏度润滑剂滑动轴承润滑性能分析。分别在两种润滑条件下,使用有限差分法和松弛迭代法,计算考虑黏度变化和不考虑黏度变化的高速低黏度润滑剂滑动轴承性能参数,并且对计算结果进行分析和对比。(3)基于最优化设计理论,确定燃油泵滑动轴承优化设计过程中设计变量、目标函数和约束条件,建立了燃油泵滑动轴承优化设计数学模型；选定优化设计方法和优化设计中数据处理的方法,确定了燃油泵轴承优化设计过程。(4)基于遗传算法,以轴承承载力、摩擦功耗、润滑剂流量和最小油膜厚度为目标进行了燃油泵滑动轴承优化设计。研究了遗传算法中参数的选择对优化设计结果的影响,并且使用优化设计的算例进行了验证。(5)基于Matlab软件平台,编制了燃油泵滑动轴承设计与优化系统软件。软件包括燃油泵滑动轴承数据库、燃油泵滑动轴承性能计算和优化设计等功能。轴承数据库软件可以实现轴承性能数据文件的建立、修改和显示；轴承性能计算软件可以输入轴承的结构参数,使用数值解法求解滑动轴承的润滑性能参数,显示并保存这些数据；轴承优化设计软件通过读取轴承数据库内建立的轴承数据,使用遗传算法等智能算法,对轴承承载力、润滑剂流量、最小油膜厚度和摩擦功耗等目标进行优化设计,显示并保存优化设计结果。在优化设计过程中可以通过改变算法的参数来改变优化设计的速度和结果精度。(6)使用Matlab/GUI软件为燃油泵滑动轴承设计与优化系统制作了智能化人工交互界面,制作了用户注册和管理界面,方便用户的管理和使用。
[Abstract]:Based on the theory of hydrodynamic lubrication, the design and optimization of high speed and low viscosity lubricant sliding bearings are studied in this paper. The main works are as follows: (1) based on laminar lubrication theory and turbulent inertial lubrication theory, the lubrication theory models of high speed low viscosity lubricant sliding bearings under laminar flow conditions and turbulent flow conditions are established by using mass conservation boundary conditions. The basic process of lubricating performance calculation of high speed low viscosity lubricant sliding bearing is established. (2) considering the relationship between lubricant viscosity and pressure, the lubrication performance of high speed low viscosity lubricant sliding bearing is analyzed. Under two kinds of lubrication conditions, the performance parameters of high speed low viscosity lubricant sliding bearings with or without viscosity change are calculated by using finite difference method and relaxation iteration method. And the calculation results are analyzed and compared. (3) based on the optimization design theory, the design variables, objective functions and constraints in the optimization design process of fuel pump sliding bearings are determined. The mathematical model of optimum design of fuel pump sliding bearing is established. The optimization design method and data processing method in optimization design are selected, and the optimal design process of fuel pump bearing is determined. (4) based on genetic algorithm, bearing capacity, friction power consumption, The optimum design of fuel pump sliding bearing was carried out with the aim of lubricant flow and minimum oil film thickness. The influence of parameter selection in genetic algorithm on the optimal design results is studied and verified by an example of optimal design. (5) based on the Matlab software platform, the design and optimization system software of fuel pump sliding bearing is developed. The software includes fuel pump sliding bearing database, performance calculation and optimization design of fuel pump sliding bearing. Bearing database software can realize the establishment, modification and display of bearing performance data file. The bearing performance calculation software can input the structural parameters of the bearing and use the numerical solution to solve the lubricating performance parameters of the sliding bearing and display and save these data. By reading the bearing data from the bearing database and using intelligent algorithms such as genetic algorithm, the bearing capacity, lubricant flow rate, minimum oil film thickness and friction power consumption are optimized by the bearing optimization design software. Display and save optimized design results. In the process of optimization design, the speed and precision of the optimization design can be changed by changing the parameters of the algorithm. (6) the intelligent interactive interface is made for the design and optimization system of fuel pump sliding bearing by using Matlab/GUI software. A user registration and management interface is developed to facilitate the management and use of users.
【学位授予单位】：合肥工业大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TH133.31

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