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Assessment of prediction and efficiency parameters for cryogenic no-vent fill
Cryogenics ( IF 2.1 ) Pub Date : 2021-05-18 , DOI: 10.1016/j.cryogenics.2021.103309
Justin Clark , Jason Hartwig

Future long-duration crewed and robotic missions will require efficient methods with which to transfer cryogenic propellant from a depot storage tank to a customer receiver tank in the microgravity of space. Because unsettled cryogenic liquid cannot be transferred in microgravity with the vent valve open, the receiver tank must be pre-chilled to some “target temperature” that is sufficiently cold to then allow a non-vented fill (NVF). Predicting this target temperature is difficult, however, but can be done. A predictive parameter based on 1st Law from Kim et al. [13] is extended to include parasitic heat leak as well as initial fill levels to permit an assessment across the consolidated NVF and no-vent top off database. An efficiency parameter is also proposed to determine efficiency of a given injection method/tank pair. The prediction parameter is applied to 158 historical tests over a wide range of fluids, injection methods, and tank geometries. Additionally, a parametric study is conducted to determine the influential factors that affect NVF. Results indicate a 100% success rate that the parameter can predict the failure of a non-vented transfer for a given initial state and desired final state.



中文翻译:

低温无排气孔填充的预测和效率参数评估

未来的长期载人和机器人任务将需要有效的方法来将低温推进剂从仓库储罐转移到太空微重力下的客户接收罐。因为在排气阀打开的情况下无法在微重力下转移未沉降的低温液体,所以必须将接收罐预冷到足够冷的某个“目标温度”,然后才能进行非排气填充 (NVF)。然而,预测这个目标温度很困难,但可以做到。基于 Kim 等人的第一定律的预测参数。[13] 扩展到包括寄生热泄漏以及初始填充水平,以允许对整合的 NVF 和无排气孔加注数据库进行评估。还提出了一个效率参数来确定给定注入方法/罐对的效率。预测参数适用于 158 次历史测试,涉及范围广泛的流体、注入方法和储罐几何形状。此外,还进行了参数研究以确定影响 NVF 的影响因素。结果表明 100% 的成功率,该参数可以预测给定初始状态和所需最终状态的非排气传输失败。

更新日期:2021-06-16
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