Study on Flow State Disturbance Law of Sliding Valve in Vibroseis Hydraulic Servo Valve
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摘要: 可控震源作为一种高效、环保、安全的勘探装备,已广泛应用于石油天然气勘探。随着地质勘探精度要求的提高,对可控震源输出信号精度的要求越来越高。而由于液压伺服阀滑阀内存在湍流扰动,导致液压系统压力波动,降低了对动作机构的控制精度,影响了输出信号的品质。利用FLUENT软件研究液压伺服阀滑阀内的流态扰动规律,分析表明湍流扰动的增加速率在阀芯刚打开时为最大值,但积累量小扰动不明显,滑阀内部流场呈环向轴对称分布。随着阀口开度逐渐增大,积累量逐渐增加,内部流场达到充分湍流状态。对阀体结构进行优化,结果表明当阀套开孔直径为12 mm时,湍流扰动最小,有利于提高输出信号精度。Abstract: As efficient, environmentally friendly and safe exploration equipment, vibroseis has been widely used in oil and gas exploration field. With the improvement of geological exploration accuracy requirements, the requirements for the accuracy of the vibroseis output signal are getting higher and higher. However, due to the turbulent disturbance in the hydraulic servo valve spool valve, the hydraulic system pressure often fluctuates, which reduces the control precision of the action mechanism and affects the quality of the output signal. In this paper, Fluent software was used to study the flow field disturbance law of sliding valve in the hydraulic servo valve. The analysis shows that the increase rate of turbulent flow disturbance is the maximum when the valve core is just opened, but the small amount of disturbance is not obvious; The internal flow field of the spool valve is distributed symmetrically in a ring shape. As the opening of the valve port gradually increases, the accumulation amount gradually increases, and the internal flow field reaches a full turbulent state. When the throttle aperture on the valve sleeve is 12mm, the turbulence disturbance is the smallest, and the valve body structure is optimized to improve the accuracy of the output signal.
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Key words:
- servo valve /
- flow fields /
- pressure drop /
- turbulent disturbance /
- optimization /
- fluent /
- simulation analysis
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表 1 不同时刻对应的入口速度
时间/s 入口速度/(m∙s-1) 0.01 1.5443 0.02 2.9376 0.03 4.0437 0.04 4.7543 0.05 5.0000 表 2 仿真工艺参数
时间/s 位移/mm 入口速度/(m∙s-1) 出口流量/(kg∙s-1) 0.01 1.235 5 1.544 3 0.545 7 0.02 2.350 1 2.937 6 1.038 0 0.03 3.234 9 4.043 7 1.428 8 0.04 3.803 4 4.754 3 1.679 9 0.05 4.0 5.0 1.766 7 -
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