Experimental Evaluation of Steady-State Electromagnetically Inductive Acceleration for Electrodeless Plasma Thruster and Fundamental Measurement of the Correlation between the Effective Current of Acceleration Coil and Thrust

2019 ◽  
Vol 67 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Kazuya Yaginuma ◽  
Hiroyasu Kurashige ◽  
Hokuto Sekine ◽  
Hiroyuki Koizumi ◽  
Kimiya Komurasaki
Keyword(s):  
Steady State ◽  
Experimental Evaluation ◽  
Effective Current ◽  
Plasma Thruster ◽  
Inductive Acceleration

Membrane oscillations in the channel of a steady-state plasma thruster

1999 ◽  
Vol 25 (6) ◽  
pp. 448-449 ◽  
Author(s):  
A. I. Bugrova ◽  
A. S. Lipatov ◽  
A. I. Morozov ◽  
V. K. Kharchevnikov
Keyword(s):  
Steady State ◽  
Plasma Thruster ◽  
Membrane Oscillations ◽  
State Plasma

scholarly journals Theoretical and Experimental Evaluation of Thermal Resistance for Compression Bandages

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
A. R. Aboalasaad ◽  
B. K. Sirková ◽  
T. Mansoor ◽  
Z. Skenderi ◽  
A. S. Khalil
Keyword(s):  
Steady State ◽  
Thermal Resistance ◽  
Mathematical Models ◽  
Experimental Evaluation ◽  
Theoretical Models ◽  
Compression Bandage ◽  
Compression Bandages

AbstractThe objective of this paper is to report a study on the prediction of the steady-state thermal resistance of woven compression bandage (WCB) by using three different mathematical models. The experimental samples of WCB were 100% cotton, cotton–polyamide–polyurethane, and viscose–polyurethane. The bandage samples were evaluated at extensions ranging at 10–100%, with two- and three-layer bandaging techniques. Experimental thermal resistance was measured by thermal foot manikin (TFM) and ALAMBETA testing devices. The obtained results by TFM and ALAMBETA were validated and compared with the theoretical models (Maxwell–Eucken2, Schuhmeister, and Militky), and a reasonable correlation of approximately 78%, 92%, and 93% for ALAMBETA and 75%, 82%, and 83% for TFM, respectively, was observed.

A Comparison of the Steady-State and Dynamic Performance of First- and Second-Generation Foil Bearings

2010 ◽  
Author(s):  
M. J. Conlon ◽  
A. Dadouche ◽  
W. M. Dmochowski ◽  
R. Payette ◽  
J.-P. Be´dard
Keyword(s):  
Steady State ◽  
Experimental Evaluation ◽  
First Generation ◽  
Second Generation ◽  
Load Capacity ◽  
Dynamic Stiffness ◽  
Dynamic Performance ◽  
Foil Bearings ◽  
Foil Bearing ◽  
Stiffness And Damping

Oil-free foil bearing technology has advanced intermittently over the years, driven by research efforts to improve both steady-state and dynamic performance characteristics, namely: load capacity, stiffness, and damping. Bearing designs are thus classified according to “generation”, with first-generation bearings being the most primitive. This paper presents an experimental evaluation of a first- and a second-generation foil bearing, and aims to provide the high-fidelity data necessary for proper validation of theoretical predictive models of foil bearing performance. The aforementioned test bearings were fabricated in-house, and are both 70mm in diameter with an aspect ratio of 1; bearing manufacturing details are provided. The work makes use of a facility dedicated to measuring both the steady-state and dynamic properties of foil bearings under a variety of controlled operating conditions. The bearing under test is placed at the midspan of a horizontal, simply-supported, stepped shaft which rotates at up to 60krpm. Static and dynamic loads of up to 3500N and 450N (respectively) can be applied by means of a pneumatic cylinder and two electrodynamic shakers. The bearings’ structural (static) stiffnesses are highly nonlinear, and this affects the accuracy of the dynamic coefficient determination. Both dynamic stiffness and damping are found to vary nonlinearly with excitation frequency, and are over-predicted by a structural experimental evaluation — the film plays an important role in bearing dynamics. The second-generation bearing is found to have a higher load capacity, dynamic stiffness, and damping than the first-generation bearing.

Experimental evaluation of the T100-3 stationary plasma thruster and xenon propellant system for the RHETT-1 program

1996 ◽  
Author(s):  
Charles Garner ◽  
Juergen Mueller ◽  
Anatoly Vasin ◽  
Mikhail Lasinsky ◽  
Valery Petrosov ◽  
...  
Keyword(s):  
Experimental Evaluation ◽  
Stationary Plasma Thruster ◽  
Stationary Plasma ◽  
Plasma Thruster

Experimental evaluation of Weir's formula for estimating metabolic rate in man

1964 ◽  
Vol 19 (5) ◽  
pp. 946-948 ◽  
Author(s):  
David J. Turell ◽  
James K. Alexander
Keyword(s):  
Steady State ◽  
Metabolic Rate ◽  
Energy Cost ◽  
Experimental Evaluation ◽  
Human Subjects ◽  
Unsteady State ◽  
Caloric Expenditure ◽  
Mean Differences ◽  
Made In

One hundred and thirty determinations of metabolic rate at rest and during both steady and unsteady states of exercise have been made in human subjects. Calculation of the caloric expenditure by means of Weir's formula, by the Zuntz-Schumburg-Lusk table, and by the Cathcart-Cuthbertson table has revealed mean differences among these methods of less than 1%. The Weir formula may be utilized for all practical purposes in lieu of the tables, permitting elimination of the RQ correction factor, and thus simplifying the estimation of the energy cost of activity caloric expenditure; determination of metabolism; formula for caloric expenditure; steady-state, caloric measurement; unsteady-state, caloric measurement Submitted on December 16, 1963

OBSERVATION CONFLICT RESOLUTION IN STEADY-STATE METABOLIC NETWORK DYNAMICS ANALYSIS

2012 ◽  
Vol 10 (01) ◽  
pp. 1240004 ◽  
Author(s):  
A. ERCUMENT CICEK ◽  
GULTEKIN OZSOYOGLU
Keyword(s):  
Conflict Resolution ◽  
Steady State ◽  
Metabolic Network ◽  
Experimental Evaluation ◽  
Network Dynamics ◽  
Metabolic Activation ◽  
Dynamics Analysis ◽  
Network Database ◽  
Number Of Factors ◽  
Inherent Error

Steady state metabolic network dynamics analysis (SMDA) is a recently proposed computational metabolomics tool that (i) captures a metabolic network and its rules via a metabolic network database, (ii) mimics the reasoning of a biochemist, given a set of metabolic observations, and (iii) locates efficiently all possible metabolic activation/inactivation (flux) alternatives. However, a number of factors may cause the SMDA algorithm to eliminate feasible flux scenarios. These factors include (i) inherent error margins in observations (measurements), (ii) lack of knowledge to classify measurements as normal versus abnormal, and (iii) choosing a highly constrained metabolic subnetwork to query against. In this work, we first present and formalize these obstacles. Then, we propose techniques to eliminate them and present an experimental evaluation of our proposed techniques.

Steady-State Experimental Evaluation of Pyrolysis Gas and Plasma Reactions

2019 ◽  
Author(s):  
Precious T. Jagun ◽  
Roland Stanzel ◽  
Douglas G. Fletcher ◽  
Jason Meyers
Keyword(s):  
Steady State ◽  
Experimental Evaluation ◽  
Pyrolysis Gas ◽  
Plasma Reactions
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