scholarly journals Fabrication and Testing of the Cold Gas Propulsion System Flight Unit for the Adelis-SAMSON Nano-Satellites

Aerospace ◽  
2019 ◽  
Vol 6 (8) ◽  
pp. 91 ◽  
Author(s):  
Michael Zaberchik ◽  
Dan R. Lev ◽  
Eviatar Edlerman ◽  
Avner Kaidar
Keyword(s):  
Propulsion System ◽  
System Level ◽  
Satellite Mission ◽  
Design Qualification ◽  
Vent Valve ◽  
System Requirements ◽  
Satellite Integration ◽  
Propellant Tank ◽  
Vibration Tests ◽  
Cold Gas

Adelis-SAMSON is a nano-satellite mission aimed at performing geo-location of target signals on Earth using a tight three-satellite formation in space. To maintain formation, each nano-satellite is equipped with a cold gas propulsion system. The design, qualification, and integration of the Adelis-SAMSON nano-satellite propulsion system is presented in this paper. The cold gas propulsion system mass is approximately 2 kg, takes a volume of 2U, and generates a thrust of 80 mN from four thrusters using krypton as a propellant. We first present the propulsion system requirements and corresponding system configuration conceived to meet the mission requirements. Subsequently, we present the system architecture while listing all the components. We overview the particular role and qualification process of four of the propulsion system’s components: the propellant tank, thruster assembly, pressure regulators, and fill and vent valve. We detail the tests performed on each component, such as proof pressure tests, vibration tests, and external leak tests. Finally, we present the propulsion system level tests before delivery for satellite integration and discuss the propulsion system’s concept of operations.

scholarly journals What are the greenhouse gas observing system requirements for reducing fundamental biogeochemical process uncertainty? Amazon wetland CH<sub>4</sub> emissions as a case study

2016 ◽  
Author(s):  
A. Anthony Bloom ◽  
Thomas Lauvaux ◽  
Vineet Yadav ◽  
Riley Duren ◽  
Stanley Sander ◽  
...  
Keyword(s):  
Greenhouse Gas ◽  
Low Earth Orbit ◽  
Biogeochemical Process ◽  
Spatial And Temporal Patterns ◽  
Satellite Mission ◽  
Ch4 Flux ◽  
Process Uncertainty ◽  
System Requirements ◽  
Process Controls

Abstract. Understanding the processes controlling terrestrial carbon fluxes is one of the grand challenges of climate science. Carbon cycle process controls are readily studied at local scales, but integrating local knowledge across extremely heterogeneous biota, landforms and climate space has proven to be extraordinarily challenging. Consequently, top-down or integral flux constraints at process-relevant scales are essential to reducing process uncertainty. Future satellite-based estimates of greenhouse gas fluxes – such as CO2 and CH4 – could potentially provide the constraints needed to resolve biogeochemical process controls at the required scales. Our analysis is focused on Amazon wetland CH4 emissions, which amount to a scientifically crucial and methodologically challenging case study. We quantitatively derive the observing system requirements for testing wetland CH4 emission hypotheses at a process-relevant scale. To capture the spatial and temporal patterns of the major hydrological and carbon controls over wetland CH4 production, a satellite mission will need to resolve monthly CH4 fluxes at a 300 km resolution and with a 25 % flux precision. We simulate a range of low-earth orbit (LEO) and geostationary orbit (GEO) CH4 observing system configurations to evaluate the ability of these approaches to meet the CH4 flux requirements. Conventional LEO and GEO missions resolve monthly 300 km × 300 km Amazon wetland fluxes at a 186 % and 33 % median uncertainty level. Improving LEO CH4 measurement precision by √2 would only reduce the median CH4 flux uncertainty to 132 %. A GEO mission with targeted observing capability could resolve fluxes at a 21–27 % median precision by increasing the observation density in high cloud-cover regions at the expense of other parts of the domain. Process-driven greenhouse gas observing system simulations can enhance conventional uncertainty reduction assessments by providing the measurement needs for testing biogeochemical process hypotheses.

Component and System Life Distribution Prediction with Reliability Demonstration Implications for a Diesel Fuel Injector

2004 ◽  
Vol 47 (2) ◽  
pp. 15-24
Author(s):  
Dustin Aldridge
Keyword(s):  
Distribution System ◽  
Failure Criteria ◽  
System Level ◽  
Fuel Injector ◽  
Life Distribution ◽  
Knowledge Based ◽  
System Requirements ◽  
System Life ◽  
Manufacturing Variation

A vehicle case study is used to illustrate a methodology of analysis and testing to predict component and system reliability and durability. The methodology integrates customer usage data, component failure distribution, system failure criteria, manufacturing variation, and customer severity variation. Extending this methodology to the vehicle system level enables correlation between component and system requirements. Further, this analysis provides the basis to establish a knowledge-based test option for a successful test validation program to demonstrate reliability.

Establishing System Requirements of an Aviation Piston Engine

2014 ◽  
Vol 598 ◽  
pp. 215-218 ◽  
Author(s):  
Ersoy Kıvılcım ◽  
Beriş Banu
Keyword(s):  
System Level ◽  
Piston Engine ◽  
Normal Category ◽  
System Requirements

This paper demonstrates how to establish the system level requirement set for an aviation piston engine, which is intended to be used for a MALE class UAV and for a Part 23 Normal category airplane. Here, it will be demonstrated, which requirements should be taken into account to construct the system level requirement set. This work is aimed to depict a methodology to create the system level requirement set.

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