Discharge voltage characteristic in ablative pulsed plasma thrusters

Sun, Guorui; Wu, Zhiwen; Li, Hang; Zeng, Linghan

doi:10.1016/j.ast.2019.01.017

Cited by 19 publications

(3 citation statements)

References 16 publications

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“…1 The needed microthrusters require low power, relative thrust levels between μN and mN, 2 and fast response. There are many types of microthrusters, including cold gas microthrusters, 3,4 field effect ion microthrusters, 5 colloidal microthrusters, 6 Hall microthrusters, 7 pulsed plasma microthrusters, 8 liquid microthrusters 9 and solid propellant microthrusters. 10 Among the many types of micro-thrusters, the single-component liquid propellant micro-thrust is a good choice for the effective operation of micro-nano satellites.…”

Section: Introductionmentioning

confidence: 99%

Reaction rate and thermal effects of hydrogen peroxide decomposition in microfluidic chips containing channel-type silver catalysts

Yang,

Ye,

Zhu

et al. 2024

Catal. Sci. Technol.

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Section: Introductionmentioning

confidence: 99%

Reaction rate and thermal effects of hydrogen peroxide decomposition in microfluidic chips containing channel-type silver catalysts

Yang,

Ye,

Zhu

et al. 2024

Catal. Sci. Technol.

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show abstract

“…Difficulty becomes worst while a number of programming or technical skills are essentially required. After gathering the data, researchers use some data processing software to pull results from the experimental (Li, 2022;Sun et al, 2019) or simulation (Cho & Sung, 2019;D'Andrea et al, 2010;Yang et al, 2010) data and try explaining the results in physical (Markusic et al, 2001;Yin & Zhou, 2007) or chemical (Mashidori et al, 2006;Schönherr et al, 2013) science domain. It is a way of explanation but not optimal solution because explain bare data with different theories other than data science domain, it may dig some hidden hole in which can hide actual meaning of physical world.…”

Section: Introductionmentioning

confidence: 99%

Data Science and Machine Learning Processes for IoT-Based Pulsed Plasma Thruster Research

Hossain,

Sun,

Islam

2023

JDSIS

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Pulsed Plasma Thrusters (PPT) are very high specific impulse but low efficient electric propulsion engine which are being used as primary or secondary propulsion mechanism for spacecrafts (cube, micro, nano or pico satellites). PPTs are used in academic and/or industrial research from decades, but its experimental data collection methods are normally offline, analysis methods are conventional, and data interpretation lies in electromagnetic, physical, and chemical domain. It is inadequate to explain PPT generated data in few specific domains only and it may prone to inadequate explanations which can hide vast insights of data. Actually, PPT generated data are usually big data. It is essential to analyze and explain PPT data in data science and machine learning domain to get keen insights from the data. To this date no such complete solution exists for PPT either in industrial arena or academia to use all these three technologies. To meet the gap, we propose and implement an Internet of Things (IoT) based architecture for PPT experimental facility to collect, accumulate, and process PPT data intelligently. This architecture yields some machine learning (ML) models with prediction accuracy above 93%. This architecture is a complete IoT and big data based Artificial Intelligence (AI) implementation on PPT data through data science and ML processes. This architecture is capable to contribute in both academic as well as industrial research, development and deployment.

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“…Different energy supply methods will not only affect the discharge characteristics and system performance of the thruster, but also affect the plasma characteristics, equivalent parameters of the discharge circuit, energy conversion efficiency and other micro characteristics (Cheng et al, 2017;Sun et al, 2019). Although researchers have done a lot of research, its internal mechanism has not been fully grasped, so it is still difficult to improve the performance of the thruster.…”

Section: Introductionmentioning

confidence: 99%

Influence of Different Energy Supply Methods on Performance of Ablative Pulsed Plasma Thrusters

Zhang

Huang

2021

Front. Energy Res.

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For a certain configuration of ablative pulsed plasma thruster, changing the initial energy is an effective way to optimize the performance of the thruster. Different energy supply methods will not only affect the macro discharge characteristics and system performance of the thruster, but also affect the micro characteristics of the plasma in the discharge channel, the equivalent parameters of the discharge circuit, energy conversion efficiency and so on. In this study, the discharge characteristics, ablation characteristics and plasma motion characteristics of the thruster under different energy supply methods are analyzed experimentally and theoretically. The results show that using the method which includes increasing capacitance to heighten the initial energy of system under the same voltage, using a low-voltage, large-capacitor power supply method under the same initial energy, can effectively increase the impulse generated by Lorentz force and its proportion in the impulse bit. Moreover, the proportion of the ablative propellant effectively ionized and accelerated by Lorentz force increases. Therefore, the thruster has higher specific impulse and efficiency.

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Discharge voltage characteristic in ablative pulsed plasma thrusters

Cited by 19 publications

References 16 publications

Reaction rate and thermal effects of hydrogen peroxide decomposition in microfluidic chips containing channel-type silver catalysts

Reaction rate and thermal effects of hydrogen peroxide decomposition in microfluidic chips containing channel-type silver catalysts

Data Science and Machine Learning Processes for IoT-Based Pulsed Plasma Thruster Research

Influence of Different Energy Supply Methods on Performance of Ablative Pulsed Plasma Thrusters

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