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Oxidizer Pressure Drop Analysis of Porous Hybrid Motor Grains

机译:多孔杂交电机颗粒的氧化剂压降分析

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This work is a continuation of prior efforts focused on using structural data of porous hybrid motor grains acquired from x-ray computed tomography (XCT) to better understand the pressure drop of oxidizer in the grain during operation. Pressure drops from a set of previous motor firing tests1 are compared to theoretical predictions of existing empirical correlations.2 Predictions of pressure drop made based on bulk porosity measured with XCT and Archimedes methods disagree with experimental measurements of pressure drop. Motor regression plays a minor role in this disagreement. However, the functionally graded porous structure of the hybrid grains appears to exert greater influence. Previously, XCT data for porous hybrid motor grains was acquired and validated3.4 This data reveals that porosity towards the central region of the grains is significantly higher than the peripheral regions. This gradient in porosity suggests that the central region of the grain may play a more dominant role in the oxidizer transport, and overall porosity of the grain is not the best representation of the grain porosity within the correlations. As the Reynolds number increases, the effects of functionally graded porosity are suspected to be more pronounced. A plan to acquire more experimental data in order to test this hypothesis is conducted and detailed. Initial results are presented for tests in which the Reynolds number is varied from 1,800-16,000. These tests were performed within an apparatus that holds the porous hybrid motor grain. Reynolds numbers are controlled primarily through the adjustment of upstream pressure in a flow tube containing a fixed venturi choke point. Pressure is measured at the fore and aft ends of the grain. The measured pressure drop will be used in the establishment and validation of a new model for the pressure drop in porous media.
机译:这项工作是现有努力继续集中在使用由X射线计算机断层摄影(XCT)获取的多孔混合式电动机晶粒结构数据,以更好地理解在晶操作期间氧化剂的压降。压力从一组以前的马达烧成tests1进行比较,以压降的现有经验correlations.2预测的理论预测基础上作出与XCT和阿基米德方法测得的压降的实验测量不同意本体孔隙率下降。汽车回归扮演这一分歧的作用不大。然而,混合晶粒的功能梯度多孔结构似乎发挥更大的影响。以前,对于多孔混合式电动机的晶粒XCT数据被获取和validated3.4此数据表明,孔隙率向着颗粒的中心区域是显著高于周边区域。这种梯度孔隙率表明,粮食的中部地区可能在氧化剂运输更占优势的作用,而粮食的总孔隙率是不相关的内部孔隙粮食的最好体现。随着雷诺数的增加,被怀疑将更为显着功能分级的多孔性的影响。为了检验这一假设,以获取更多的实验数据A计划进行,并详细说明。初始结果呈现对于其中雷诺数从1,800-16,000变化测试。这些试验是保持所述多孔混合式电动机晶粒的装置内进行。雷诺数主要通过上游压力在含有固定的文丘里节流位置的流管的调整来控制。压力在向前和谷物的尾端测量。所测量的压降将在多孔介质中的压降的新模型的建立和验证中使用。

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