scholarly journals AC Cooling Time Prediction Using Common Representation Model

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 131534-131544 ◽  
Author(s):  
Ramasamy Kannan ◽  
Manasij Sur Roy
Keyword(s):  
Cooling Time ◽  
Time Prediction ◽  
Common Representation ◽  
Representation Model

scholarly journals The influence of flow and thermal properties on injection pressure and cooling time prediction

2016 ◽  
Vol 40 (15-16) ◽  
pp. 7001-7011 ◽  
Author(s):  
Marton Huszar ◽  
Fawzi Belblidia ◽  
Sue Alston ◽  
Patrick Wlodarski ◽  
Cris Arnold ◽  
...  
Keyword(s):  
Thermal Properties ◽  
Injection Pressure ◽  
Cooling Time ◽  
Time Prediction

Regression analysis of indicators of a numerical experiment to determine the cooling time of oil

2020 ◽  
pp. 89-97
Author(s):  
A. U. Yakupov ◽  
D. A. Cherentsov ◽  
K. S. Voronin ◽  
Yu. D. Zemenkov
Keyword(s):  
Regression Analysis ◽  
Computer Experiment ◽  
Calculation Model ◽  
Cooling Time ◽  
Regression Coefficients ◽  
Fisher Criterion ◽  
Empirical Relationships ◽  
Factors Affecting ◽  
Oil Pipeline ◽  
Significant Regression

The article performed the processing of the results of a computer experiment to determine the cooling time of oil in a stopped oil pipeline. We proposed a calculation model in previous works that allows you to simulate the process of cooling oil.There was a need to verify the previously obtained results when conducting a laboratory experiment on a stand with soil. To conduct the experiment, it was necessary to conduct the planning of the experiment. The factors affecting the cooling time of oil in the oil pipeline, which will vary in the proposed experiment, are determined, empirical relationships are established. A regression analysis was carried out, and the dispersion homogeneity was checked using the Cochren criterion. The estimates of reproducibility variances are calculated. The adequacy hypothesis was tested using the Fisher criterion. Significant regression coefficients are established.

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