转速对螺杆泵定子磨损影响的机理分析与速度优化
发布时间：2019-04-04 15:44
【摘要】：作为一种高效环保的新型举升工艺,在过去二十年中,螺杆泵采油技术在世界范围内的应用规模迅速扩大。定子橡胶和会属转子组成的螺杆泵是螺杆泵采油系统的核心部件,其中定子橡胶衬套尤为重要,它的磨损直接制约着工作效率和使用寿命。转速是对定子磨损十分重要的影响因素,目前人们对螺杆泵的调节就是通过转速来实现的,但是转速对其定子橡胶磨损的影响机理还鲜有报道,如何清晰准确地表征和认识定子磨损机理,成为长期困扰采油工程师们的难题。对此,论文进行了转速对螺杆泵定子橡胶磨损的影响行为研究。 本文基于螺杆泵工作原理,对螺杆泵运动学与动力学进行了深入研究,并综合考虑了螺杆泵容积效率、原油粘度、原油温度等因素,从理论上对螺杆泵转速选择提出了建议；采用MPV-600环块试验机,选取常用的丁腈橡胶和氟橡胶进行干摩擦和原油润滑摩擦实验,研究其摩擦特性,分析了两种橡胶在不同介质条件下的磨损行为；依据螺杆泵实际工况特点,采用人工神经网络方法,建立了原油粘度、泵端压差以及定转子间过盈量三个因素与输出转速之间匹配的优化模型,讨论了上述因素交互耦合作用产生的非线性优化问题；通过遗传算法优化网络初始权值和阈值,有效地提高了网络的收敛速度和预测准确率；最后,通过实证分析,证明了利用神经网络建立的输出转速优化模型具有模型易于搭建、预测耗时短等优点,可以有效地应用于螺杆泵采油系统输出转速优化方法的研究。
[Abstract]:As a new type of high-efficiency and environment-friendly lifting technology, in the past two decades, the application scale of the screw pump oil extraction technology in the world has expanded rapidly. The screw pump, which is composed of the stator and the rotor, is the core part of the screw pump oil extraction system, and the stator rubber bush is of particular importance, and its wear directly restricts the working efficiency and the service life. The rotating speed is an important factor for the wear of the stator. At present, the adjustment of the screw pump is realized by the rotating speed, but the mechanism of the influence of the rotating speed on the wear of the stator rubber is not reported, and the mechanism of the wear of the stator is clearly and accurately characterized and recognized. Becoming a long-term problem with the production engineers. In this paper, the influence of the rotating speed on the rubber wear of the stator of the screw pump is studied. Based on the working principle of the screw pump, the kinematics and dynamics of the screw pump are deeply studied, and the factors such as the volumetric efficiency of the screw pump, the viscosity of the crude oil and the temperature of the crude oil are considered in this paper. The suggestions on the selection of the rotation speed of the screw pump are put forward from the theory. The MPV-600 ring block test is used. According to the characteristics of the actual working conditions of the screw pump, the artificial neural network method is used to establish the crude oil. The optimization model of the matching between the viscosity, the pressure difference of the pump end and the interference between the stator and the rotor and the output speed is discussed. The nonlinear optimization problem caused by the interaction coupling of the above factors is discussed. The initial weight of the network and the initial weight of the network are optimized by the genetic algorithm. The threshold value can effectively improve the convergence speed and the prediction accuracy of the network. Finally, through the empirical analysis, it is proved that the output speed optimization model established by the neural network has the advantages of easy construction, short prediction time and so on. The method has the advantages that the method can be effectively applied to the output speed optimization method of the screw pump oil extraction system,
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH327
本文编号：2453954
[Abstract]:As a new type of high-efficiency and environment-friendly lifting technology, in the past two decades, the application scale of the screw pump oil extraction technology in the world has expanded rapidly. The screw pump, which is composed of the stator and the rotor, is the core part of the screw pump oil extraction system, and the stator rubber bush is of particular importance, and its wear directly restricts the working efficiency and the service life. The rotating speed is an important factor for the wear of the stator. At present, the adjustment of the screw pump is realized by the rotating speed, but the mechanism of the influence of the rotating speed on the wear of the stator rubber is not reported, and the mechanism of the wear of the stator is clearly and accurately characterized and recognized. Becoming a long-term problem with the production engineers. In this paper, the influence of the rotating speed on the rubber wear of the stator of the screw pump is studied. Based on the working principle of the screw pump, the kinematics and dynamics of the screw pump are deeply studied, and the factors such as the volumetric efficiency of the screw pump, the viscosity of the crude oil and the temperature of the crude oil are considered in this paper. The suggestions on the selection of the rotation speed of the screw pump are put forward from the theory. The MPV-600 ring block test is used. According to the characteristics of the actual working conditions of the screw pump, the artificial neural network method is used to establish the crude oil. The optimization model of the matching between the viscosity, the pressure difference of the pump end and the interference between the stator and the rotor and the output speed is discussed. The nonlinear optimization problem caused by the interaction coupling of the above factors is discussed. The initial weight of the network and the initial weight of the network are optimized by the genetic algorithm. The threshold value can effectively improve the convergence speed and the prediction accuracy of the network. Finally, through the empirical analysis, it is proved that the output speed optimization model established by the neural network has the advantages of easy construction, short prediction time and so on. The method has the advantages that the method can be effectively applied to the output speed optimization method of the screw pump oil extraction system,
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH327
【引证文献】
相关硕士学位论文 前3条
1 聂瑞;采油螺杆泵定子橡胶磨损检测方法研究[D];沈阳工业大学;2012年
2 田野;基于机械与容积效率的螺杆泵转速控制方法研究[D];沈阳工业大学;2012年
3 霍绪尧;石油中水含量对采油螺杆泵定子橡胶磨损性能的影响[D];沈阳工业大学;2012年
，本文编号：2453954
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