用填料法测定蠕动混合泵生产固体火箭燃料的混合量

S. Oshino, Iori Terayama, Rie Nishihama, M. Okui, Taro Nakamura
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引用次数: 0

摘要

对于太空火箭来说,旋转的混合器是用来生产固体燃料的。然而,与旋转混合器混合受到高剪切力,这限制了设备的驱动。在之前的一项研究中,作者开发了一种新的生产方法,使用模拟肠道的气动驱动蠕动混合泵和带有压力和流量传感器的传感系统。固体火箭燃料是由一个小型泵装置成功生产的。在本研究中,使用体积为先前研究的8倍的泵单元,对金属粉末和高粘性流体等几种粉末组成的固体推进剂进行了混合实验。在本实验中,为了提高效率,将物料包装在塑料袋中进行混合。这减少了橡胶管和设备内容物之间的接触面积。由于混合过程只有一部分反映在器件的行为中,因此很难看到传感器值的差异,并且不知道是否可以应用现有的方法。实验结果表明,现有的传感系统可以根据空气压力和流量的时间序列数据来确认由于混合过程而产生的特性差异。采用聚类的一种高斯混合模型,对采集到的传感器值进行大致二值判别,得到混合状态。这表明,利用现有系统估计大型泵的混合程度是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixing Determination for Solid Rocket Fuel Production by Peristaltic Mixing Pump Using Packing Method
For space rockets, a rotating mixer is used to produce solid fuel. However, mixing with the rotary mixer is subject to high shear forces that limit the equipment drive. In a previous study, the authors developed a new production method using a pneumatically driven peristaltic mixing pump that simulates the intestine and a sensing system with pressure and flow rate sensors. Solid rocket fuel was successfully produced by a small pump unit. In this study, mixing experiments of solid propellant consisting of several types of powders, including metal powder and highly viscous fluids were conducted using a pump unit with a volume size eight times larger than that used in the previous study. In this experiment, mixing was performed with the materials packed in a plastic bag to increase efficiency. This reduces the contact area between the rubber tube and the contents of the device. Because only part of the mixing process is reflected in the behavior of the device, it is difficult to see differences in the sensor values, and it is unknown whether existing methods can be applied. The results of the experiment showed that the existing sensing system could be used to confirm the differences in characteristics due to the mixing process based on the time series data of air pressure and flow rate. By using Gaussian mixture model, which is a type of clustering, the mixing state was roughly binary discrimination from the acquired sensor values. This suggests that it is possible to estimate the mixing degree in large pumps using existing systems.
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