Numerical analysis and optimal design of intelligent transformation joint based on hydraulic control
LI Chuanjun1, HUANG Wanwan1, LI Kai1, HAN Bin2, WANG Zhiqiang3
1.School of Energy & Power Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 2.School of Mechanical Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; 3.China Machinery Industry Federation, Beijing 100823, China
Abstract:In order to validate the design of an intelligent transformation joint based on hydraulic control and optimize the geometry of flow passages in the joint, a three-dimensional model of the joint is constructed in Pro/E and an unstructured grid is generated in the fluid domain. Then the fluid flow governing equations and boundary conditions are chosen according to the device working principle and characteristics. The standard k-ε turbulence model and wall-function are used to simulate the internal flow field in the joint at four openings of the one-way valve. The distributions of velocity and turbulent kinetic energy are obtained and analyzed using CFD software. Moreover, an experimental device is built to measure the outlet flow rate and the pressure difference between the inlet and the outlet at those openings. By a comparison of numerical analysis and experimental validation, the best opening with lower energy consumption is determined. The experimental results show that the intelligent joint based on hydraulic control can realize an intelligent conversion between the oil production status and the test states, meeting the requirement on function. Besides, the best internal flow condition, in which the hydraulic loss is small and the velocity is high, is achieved at 50 mm opening. The numerical results are consistent with the experimental data. The results provide a basis for improving device internal structure and enhancing oil production efficiency.
李传君, 黄婉婉, 李凯, 韩彬, 王志强. 液控智能转换接头的数值分析及优化设计[J]. 排灌机械工程学报, 2016, 34(1): 45-50.
LI Chuanjun, HUANG Wanwan, LI Kai, HAN Bin, WANG Zhiqiang. Numerical analysis and optimal design of intelligent transformation joint based on hydraulic control. Journal of Drainage and Irrigation Machinery Engin, 2016, 34(1): 45-50.
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