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Scaling of catalyst bed for hydrogen peroxide monopropellant thrusters using catalytic decomposition modeling

机译:使用催化分解建模的过氧化氢型催化剂型催化剂床的缩放

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Hydrogen peroxide or H2O2 has been widely used as a green propellant in various types of thrusters based on catalytic decomposition. However, no standardized design methods for H2O2 catalyst beds exist at present. In this study, we scaled a catalyst bed for a H2O2 monopropellant thruster using catalytic decomposition modeling. We adopted the model developed by Pasini et al. (2010) [1] to simulate the catalytic decomposition of H2O2 in the catalyst bed. The one-dimensional profiles of temperature, pressure, species concentration, and other properties were estimated using the model. Additionally, static firing tests were conducted under various conditions using a 100-N H2O2 monopropellant thruster with a MnO2/PbO/Al2O3 catalyst. The simulation results were compared with those obtained from the static firing tests to validate the accuracy of the model. We observed that the temperature estimations from the model concurred with those of the experimental data; however, pressure estimations deviated slightly. Furthermore, the model was used to obtain the design parameters for scaling based on catalyst capacity and pressure drop analyses under various conditions. We determined that the pressure drop can be scaled and expressed as a constant. Thus, the catalyst bed can be scaled precisely by analyzing the catalyst capacity and pressure drop constants through catalytic decomposition modeling.
机译:过氧化氢或H 2 O 2已广泛用作基于催化分解的各种推进器的绿色推进剂。然而,目前没有对H 2 O 2催化剂床的标准化设计方法存在。在这项研究中,我们使用催化分解建模缩放了用于H2O2单普林蛋白的催化剂床。我们采用了Pasini等人开发的模型。 (2010)[1]模拟H2O2在催化剂床中的催化分解。使用该模型估计温度,压力,物种浓度和其他性能的一维轮廓。另外,使用100-N H 2 O 2单普林调节器,用MnO 2 / PbO / Al 2 O 3催化剂在各种条件下进行静态烧制试验。将仿真结果与从静态发射测试中获得的那些进行比较,以验证模型的准确性。我们观察到,来自模型的温度估计会调节实验数据的模型;但是,压力估计略微偏离。此外,该模型用于基于催化剂容量和各种条件下的压降分析来获得用于缩放的设计参数。我们确定压力下降可以缩放并表示为常数。因此,可以通过通过催化分解建模分析催化剂容量和压降常数来精确地进行催化剂床。

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