Development of a dimensionless rod-bundle CHF correlation based on stepwise regression method, Part I: determination of the basic form with CHF data obtained with uniform axial heat flux profile

2020 ◽  
Vol 143 ◽  
pp. 107454
Author(s):  
Bo Pang ◽  
Yuan Yin
Keyword(s):  
Heat Flux ◽  
Stepwise Regression ◽  
Regression Method ◽  
Basic Form ◽  
Rod Bundle ◽  
Flux Profile ◽  
Axial Heat

Flooding limited CHF in a vertical 3×3 rod bundle with non-uniform axial heat flux

2005 ◽  
Vol 235 (1) ◽  
pp. 77-90
Author(s):  
Seok Cho ◽  
Se-Young Chun ◽  
Sang-Ki Moon ◽  
Won-Pil Baek ◽  
Yoo Kim
Keyword(s):  
Heat Flux ◽  
Rod Bundle ◽  
Axial Heat

Experimental investigation on repeatability of CHF in rod bundle with non-uniform axial heat flux distribution

2016 ◽  
Vol 90 ◽  
pp. 151-154 ◽  
Author(s):  
Shengjie Qin ◽  
Xuemei Lang ◽  
Shijie Xie ◽  
Pengzhou Li ◽  
Wenbin Zhuo ◽  
...  
Keyword(s):  
Heat Flux ◽  
Experimental Investigation ◽  
Flux Distribution ◽  
Heat Flux Distribution ◽  
Rod Bundle ◽  
Axial Heat

scholarly journals Membership and Internal Motions of Faint Stars in the Globular Cluster M 3

1994 ◽  
Vol 161 ◽  
pp. 461-463
Author(s):  
R.-D. Scholz ◽  
N.V. Kharchenko
Keyword(s):  
Globular Cluster ◽  
Proper Motion ◽  
Stepwise Regression ◽  
Regression Method ◽  
Proper Motions ◽  
Internal Motions ◽  
Motion Study

A proper motion study from Tautenburg Schmidt plates is presented for the globular cluster M 3 and its vicinity. The plates were scanned with the Automated Photographic Measuring (APM) system in Cambridge (UK). With a limiting magnitude of B = 21, proper motions of 2 to 3 mas/yr accuracy have been obtained for stars with B < 19. The proper motions were determined applying a stepwise regression method with 3rd order polynomials in the plate-to-plate solutions with about 2000 reference galaxies. We used the results for the determination of membership probabilities and looked for internal motions of M 3.

scholarly journals Experimental Determination of the Heat Transfer Coefficient of Real Cooled Geometry Using Linear Regression Method

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 180
Author(s):  
Asif Ali ◽  
Lorenzo Cocchi ◽  
Alessio Picchi ◽  
Bruno Facchini
Keyword(s):  
Heat Transfer ◽  
Heat Flux ◽  
Heat Transfer Coefficient ◽  
Linear Regression ◽  
Surface Temperature ◽  
Transfer Coefficient ◽  
External Surface ◽  
Internal Surface ◽  
Regression Method ◽  
Thermal Transient

The scope of this work was to develop a technique based on the regression method and apply it on a real cooled geometry for measuring its internal heat transfer distribution. The proposed methodology is based upon an already available literature approach. For implementation of the methodology, the geometry is initially heated to a known steady temperature, followed by thermal transient, induced by injection of ambient air to its internal cooling system. During the thermal transient, external surface temperature of the geometry is recorded with the help of infrared camera. Then, a numerical procedure based upon a series of transient finite element analyses of the geometry is applied by using the obtained experimental data. The total test duration is divided into time steps, during which the heat flux on the internal surface is iteratively updated to target the measured external surface temperature. The final procured heat flux and internal surface temperature data of each time step is used to find the convective heat transfer coefficient via linear regression. This methodology is successfully implemented on three geometries: a circular duct, a blade with U-bend internal channel, and a cooled high pressure vane of real engine, with the help of a test rig developed at the University of Florence, Italy. The results are compared with the ones retrieved with similar approach available in the open literature, and the pros and cons of both methodologies are discussed in detail for each geometry.

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