An on-Line Automated Gamma Spectrometer for Coolant Monitoring at the Loss of Fluid Test Facility (LOFT)

1983 ◽  
Vol 30 (1) ◽  
pp. 815-819 ◽  
Author(s):  
J. K. Hartwell ◽  
E. W. Killian ◽  
E. B. Shingleton ◽  
E. E. Owen ◽  
L. O. Johnson ◽  
...  
Keyword(s):  
Test Facility ◽  
Gamma Spectrometer ◽  
On Line ◽  
Fluid Test

RETRAN-02 Calculations of Operational Transients in the Loss-of-Fluid Test Facility

1983 ◽  
Vol 61 (2) ◽  
pp. 181-192
Author(s):  
Clayton S. Miller ◽  
James Robert White ◽  
Richard D. Hentzen
Keyword(s):  
Test Facility ◽  
Fluid Test

THE NEMO ACOUSTIC TEST FACILITY

2006 ◽  
Vol 21 (supp01) ◽  
pp. 132-136 ◽  
Author(s):  
◽  
G. RICCOBENE
Keyword(s):  
New Technologies ◽  
Test Site ◽  
Test Facility ◽  
Underwater Noise ◽  
Neutrino Telescopes ◽  
Optical Cable ◽  
Experimental Apparatus ◽  
On Line

The NEMO (NEutrino Mediterranean Observatory) Collaboration is constructing, 25 km E from Catania (Sicily) at 2000 m depth, an underwater test site to perform long-term tests of prototypes and new technologies for astrophysical HE neutrino telescopes. In this framework the collaboration deployed an electro-optical cable equipped with several e.o. terminations. An experimental apparatus for the measurement of underwater acoustic background was also installed and connected to shore on 22 Jan 2005, allowing continuous on-line monitoring of deep-sea noise in the range 30 Hz - 40 kHz. Underwater noise spectra were produced and classification of transient signals is under way.

Adaptive Neurocontrol and Minimization of Energy Consumption of a Heat Exchanger Test Facility

2000 ◽  
Author(s):  
Gerardo Díaz ◽  
Mihir Sen ◽  
Rodney L. McClain
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Energy Consumption ◽  
Heat Exchanger ◽  
Heat Exchangers ◽  
Test Facility ◽  
The Neural Network ◽  
On Line ◽  
Artificial Neural ◽  
And Control

Abstract It has been shown that artificial neural networks (ANNs) can be used to simulate and control thermal systems such as heat exchangers. It is known that the characteristics of thermal components such as heat exchangers vary with respect to time mainly due to fouling effects. There is a need of a model that can adapt to the new characteristics of the thermal system. In this work adaptive artificial neural networks are used to control the outlet air temperature of a heat exchanger test facility. The neurocontrollers are adapted on-line on the basis of different criteria. The parameters of the ANNs are modified considering target error and stability conditions of the closed loop system analyzed as a nonlinear iterative map. We also implement a minimization of a performance index that quantifies the energy consumption. It is shown numerically and experimentally that the neural network is able to control the thermal facility, and is also able to adapt to different disturbances applied to the system, while minimizing the amount of energy used.

The Rotary Fuel-Injection Pump as a Source of Cyclic Variation in Diesel Engines, and its Effect on Nitric Oxide Emissions

1975 ◽  
Vol 189 (1) ◽  
pp. 497-505 ◽  
Author(s):  
R. D. Wing
Keyword(s):  
Nitric Oxide ◽  
Fuel Injection ◽  
Direct Injection ◽  
Strong Relationship ◽  
Test Facility ◽  
Combustion Model ◽  
Injection Pump ◽  
Fuel Injection Pump ◽  
On Line ◽  
Nitric Oxide Emissions

Cyclic combustion variations have been demonstrated to exist in a direct injection Diesel engine to a surprisingly large extent. With the aid of an on-line computer engine-test facility statistical and correlation analyses were carried out to verify a strong relationship between the cyclic combustion variations and variations in the timing of fuel injection. The importance of these cyclic variations in the reduction of nitric oxide emissions from the engine is shown by experimental results and computer combustion model predictions. The overall effect on nitric oxide emissions is, however, small over most of the operating range of the engine.

The Installation, Testing and Lessons Learned of the TF40B Gas Turbine Test Facility

1995 ◽  
Author(s):  
Jeffrey S. Patterson ◽  
Howard Harris
Keyword(s):  
Gas Turbine ◽  
Lessons Learned ◽  
Cold Weather ◽  
Test Facility ◽  
Control Panel ◽  
Foreign Object Damage ◽  
Test Engine ◽  
On Line ◽  
Air Cushion ◽  
Naval Surface Warfare

The TF40B Gas Turbine Test Facility is the only dedicated Landing Craft, Air Cushion main propulsion engine test complex available to the U.S. Navy. This facility, located at the Naval Surface Warfare Center, Carderock Division (NSWCCD) in Philadelphia, PA, began operation in August, 1992. Since then, the test engine has logged approximately 230 starts and 350 operating hours. This paper will present the installation, testing and lessons learned of the TF40B test facility. The installation section will discuss the modifications made to the existing test facility to accept the TF40B engine. The test section will include the Foreign Object Damage (FOD) screen evaluation, both on-line and crank wash detergent fluid evaluations, cold weather fuel testing, engine vent line testing and Aerojet 5 oil evaluation. The lessons learned section will include problems related to the electric starter, waterbrake, inlet and exhaust systems, data acquisition system, instrumentation control panel and the test cell equipment arrangement.

Component Tests With a Model V84.3A Gas Turbine in the Siemens Test Facility in Berlin

2002 ◽  
Author(s):  
Christof Lechner ◽  
Bernward Mertens ◽  
Dieter Warnack ◽  
Dirk Weltersbach ◽  
Herwart Ho¨nen
Keyword(s):  
Flow Field ◽  
Gas Turbine ◽  
Field Measurements ◽  
Test Facility ◽  
Prediction System ◽  
Test Bed ◽  
Surge Margin ◽  
Compressor Surge ◽  
On Line ◽  
Flow Duct

In its Gas Turbine Development and Manufacturing Center in Berlin Siemens runs a test bed for gas turbine prototypes. Since the end of 1998, the new model V84.3A gas turbine has been undergoing tests at this facility. One focus of last year’s tests was on flow field measurements with pneumatic probes in the exit flow duct of the turbine at various load levels to characterize the flow in the diffuser and provide a data base. Another item was the further investigation of the compressor surge margin and the validation of a newly-developed on-line surge prediction system.

Measurement of Cladding Temperatures with Loss-of-Fluid-Test Thermocouples in the COSIMA Blowdown Test Facility

1985 ◽  
Vol 69 (1) ◽  
pp. 72-81
Author(s):  
Gottfried Class ◽  
Klaus Hain ◽  
Rainer Meyder
Keyword(s):  
Test Facility ◽  
Fluid Test

scholarly journals Data Acquisition and Processing in the NGTE Altitude Test Facility

1975 ◽  
Author(s):  
G. W. Dean ◽  
S. W. White
Keyword(s):  
Data Acquisition ◽  
Current System ◽  
Test Facility ◽  
Engine Test ◽  
Performance Curve ◽  
Turbofan Engine ◽  
Uncertainty In Measurement ◽  
On Line ◽  
Computer Controlled ◽  
Data Acquisition And Processing

The Engine Test Facility of the National Gas Turbine Establishment has used computer-controlled instrumentation systems for on-line data acquisition and processing for over 15 yr. The development of the system is outlined and the current system described. To illustrate its present use typical results obtained during tests on a large turbofan engine are presented and discussed. The emphasis of this paper is on the use of the system to assess the accuracy and reliability of the test measurements before commencing qualification tests on the engine. The probable sources of error are described and placed into three categories, to assist handling and propagation through the calculation processes. The resultant uncertainty in measurement of Thrust and sfc at cruise (M = 0.85, 35,000 ft), is estimated to be 0.50 percent (one standard deviation) for a single performance curve.

scholarly journals On-line noise monitoring at the fast flux test facility

1985 ◽  
Vol 15 ◽  
pp. 483-489 ◽  
Author(s):  
J.A. Mullens ◽  
J.A. Thie ◽  
L.R. Campbell
Keyword(s):  
Test Facility ◽  
On Line ◽  
Fast Flux ◽  
Line Noise
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