scholarly journals Flight Model Development and Ground Demonstration of Water Resistojet Propulsion System for CubeSats

Author(s):  
Keita NISHII ◽  
Jun ASAKAWA ◽  
Kosei KIKUCHI ◽  
Mariko AKIYAMA ◽  
Qihang WANG ◽  
...  
Author(s):  
Tomoaki TODA ◽  
Tomoko HAYASHIYAMA ◽  
Yukio KAMATA ◽  
Nobuaki ISHII ◽  
Masato NAKAMURA

2016 ◽  
Author(s):  
Antti Näsilä ◽  
Christer Holmlund ◽  
Rami Mannila ◽  
Ismo Näkki ◽  
Harri J. Ojanen ◽  
...  

Author(s):  
Hiroki ASHIDA ◽  
Junichi NISHIDA ◽  
Kuniyuki OMAGARI ◽  
Ken FUJIWARA ◽  
Yasumi KONDA ◽  
...  

2014 ◽  
Vol 2014.23 (0) ◽  
pp. _D05-1_-_D05-5_
Author(s):  
Masanori Matsushtia ◽  
Kazuyoshi Miyasato ◽  
Masaya Koga ◽  
Kei Ito ◽  
Makoto Arimoto ◽  
...  

Author(s):  
David Kidman ◽  
Craig Stevens ◽  
Todd Remund ◽  
William Kitto

The United States Department of Defense (DoD) is continually looking for ways to improve test and evaluation techniques to ensure systems meet military requirements prior to acquisition. Recently, the DoD has been pursuing the use of statistical methods to improve test and evaluation. This paper highlights statistical methodologies used by the Air Force Test Center to improve aircraft propulsion system Modeling and Simulation (M&S) efforts. The US Air Force has a long history of using M&S (more than 55 years) during aircraft test and evaluation. In the past, M&S usage was primarily in the aircraft performance and flying qualities areas. Now advancing technology and complex integration are resulting in increased M&S use across broader spectrum of technical disciplines, including propulsion. During propulsion testing, models are used to increase system knowledge in T&E areas which include: Test Planning, Execution, Data Analysis and Evaluation. This paper highlights the 412 Test Wing at Edwards AFB first steps to improve aircraft propulsion system T&E through the implementation of statistically defensible model development techniques. Specifically, this paper will provide an example of typical engineer model development strategies based on past experience, system knowledge, relevant physics and subjective evaluations to determine variables used and structure of the model. This paper will also provide insight into a number of statistics-based approaches including stepwise regression, backwards elimination, the inadequacy of using R-squared and an examination into the effects of mulit-collinearity. However, the focus of this paper is on how Information Theory and Akaike’s Information Criteria (AIC) can be easily applied to compare a variety of models and determine the best model available. This paper presents an example of these model development methods applied during a development of a predictive model used for evaluating thrust response of an aircraft engine with a new digital engine control. A case will be made that statistical approaches provide a more mathematically rigorous approach for model selection as compared to traditional approaches based on engineering judgment.


Author(s):  
Hiroaki MIYAZAKI ◽  
Tadaaki ISHIZU ◽  
Hikaru HASEGAWA ◽  
Masahiro KASUYA

1984 ◽  
Vol 75 ◽  
pp. 743-759 ◽  
Author(s):  
Kerry T. Nock

ABSTRACTA mission to rendezvous with the rings of Saturn is studied with regard to science rationale and instrumentation and engineering feasibility and design. Future detailedin situexploration of the rings of Saturn will require spacecraft systems with enormous propulsive capability. NASA is currently studying the critical technologies for just such a system, called Nuclear Electric Propulsion (NEP). Electric propulsion is the only technology which can effectively provide the required total impulse for this demanding mission. Furthermore, the power source must be nuclear because the solar energy reaching Saturn is only 1% of that at the Earth. An important aspect of this mission is the ability of the low thrust propulsion system to continuously boost the spacecraft above the ring plane as it spirals in toward Saturn, thus enabling scientific measurements of ring particles from only a few kilometers.


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