Thermal Map of an Exhaust Manifold for a Transient Dyno Test Schedule: Development and Test Data Correlation

2018 ◽  
Author(s):  
Emilio Banuelos ◽  
Luis Carlos Navarro H. ◽  
Nandan A. Sawkar ◽  
Surendra Gaikwad
Keyword(s):  
Test Data ◽  
Exhaust Manifold ◽  
Data Correlation ◽  
Test Schedule ◽  
Schedule Development

The Delta Star Thermmal Vacuum Test: A Unique Approach to Space Thermal Simulation

1991 ◽  
Vol 34 (6) ◽  
pp. 17-27
Author(s):  
Dick Durant ◽  
Christopher Fuld
Keyword(s):  
Test Data ◽  
Test Design ◽  
Data Correlation ◽  
Thermal Vacuum ◽  
Flight Data ◽  
Zone Control ◽  
Flux Measurements ◽  
Unique Approach ◽  
Test Requirements ◽  
Vacuum Test

Several techniques were developed to perform the thermal vacuum test of the Delta Star Spacecraft. Test design and fabrication was completed in only four months, producing a 21-zone, computer-modeled reflectorless lamp array system. Array zone control was based on discreet absorbed flux measurements provided by adiabatic coupons that were conceived to eliminate the need for conventional radiometers. Test requirements, methodology, anomalies, test data correlation, and flight data correlation are presented.

CRYOGENIC PROPELLANT STRATIFICATION ANALYSIS AND TEST DATA CORRELATION

AIAA Journal ◽  
1963 ◽  
Vol 1 (7) ◽  
pp. 1657-1659 ◽  
Author(s):  
T. BAILEY ◽  
R. VANDEKOPPEL ◽  
G. SKARTVEDT ◽  
T. JEFFERSON
Keyword(s):  
Test Data ◽  
Data Correlation

Test Validation Without Measurement

2016 ◽  
Vol 32 (3) ◽  
pp. 204-214 ◽  
Author(s):  
Emilie Lacot ◽  
Mohammad H. Afzali ◽  
Stéphane Vautier
Keyword(s):  
Test Data ◽  
Test Scores ◽  
Scientific Explanation ◽  
Test Validation ◽  
Clinical Tests ◽  
Ethical Perspective ◽  
Power Of Test ◽  
Memory Accuracy ◽  
Social Uses ◽  
Special Case

Abstract. Test validation based on usual statistical analyses is paradoxical, as, from a falsificationist perspective, they do not test that test data are ordinal measurements, and, from the ethical perspective, they do not justify the use of test scores. This paper (i) proposes some basic definitions, where measurement is a special case of scientific explanation; starting from the examples of memory accuracy and suicidality as scored by two widely used clinical tests/questionnaires. Moreover, it shows (ii) how to elicit the logic of the observable test events underlying the test scores, and (iii) how the measurability of the target theoretical quantities – memory accuracy and suicidality – can and should be tested at the respondent scale as opposed to the scale of aggregates of respondents. (iv) Criterion-related validity is revisited to stress that invoking the explanative power of test data should draw attention on counterexamples instead of statistical summarization. (v) Finally, it is argued that the justification of the use of test scores in specific settings should be part of the test validation task, because, as tests specialists, psychologists are responsible for proposing their tests for social uses.

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