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.

过氧化氢或 H ₂ O ₂已被广泛用作基于催化分解的各种类型推进器中的绿色推进剂。然而，目前尚无H ₂ O ₂催化剂床的标准化设计方法。在这项研究中，我们使用催化分解模型对 H ₂ O ₂单组元推进剂推进器的催化剂床进行了缩放。我们采用了 Pasini 等人开发的模型。(2010) [1] 模拟 H ₂ O ₂的催化分解在催化剂床中。使用该模型估计温度、压力、物质浓度和其他特性的一维分布。此外，使用 100-NH ₂ O ₂单组元推进剂和 MnO ₂ /PbO/Al ₂ O ₃在各种条件下进行静态点火测试催化剂。将仿真结果与静态点火试验的结果进行比较，以验证模型的准确性。我们观察到模型的温度估计与实验数据的一致；然而，压力估计略有偏差。此外，该模型用于根据催化剂容量和各种条件下的压降分析获得缩放的设计参数。我们确定压降可以缩放并表示为常数。因此，通过催化分解建模分析催化剂容量和压降常数，可以精确地缩放催化剂床。