2021
DOI: 10.1007/s11630-021-1394-7
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Critical Heat Flux (CHF) Correlations for Subcooled Water Flow Boiling at High Pressure and High Heat Flux

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Cited by 8 publications
(3 citation statements)
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“…Here, SSE (error sum of squares) is the sum of squares of the difference between the values that are not explained by the regression model and the values predicted by the regression model; SSR (regression sum of squares) is the sum of squares of the mean differences between the values predicted by the regression model and the observations; and SST (total sum of squares) is the total variation or the sum of SSE and SSR. SST, SSR and SSE can be obtained from (15), (16), and (17), respectively [34][35][36].…”
Section: Assessment Of Existing Ofi Correlationsmentioning
confidence: 99%
See 1 more Smart Citation
“…Here, SSE (error sum of squares) is the sum of squares of the difference between the values that are not explained by the regression model and the values predicted by the regression model; SSR (regression sum of squares) is the sum of squares of the mean differences between the values predicted by the regression model and the observations; and SST (total sum of squares) is the total variation or the sum of SSE and SSR. SST, SSR and SSE can be obtained from (15), (16), and (17), respectively [34][35][36].…”
Section: Assessment Of Existing Ofi Correlationsmentioning
confidence: 99%
“…Since the ITER operation is considering the safety margin of 1.4, it was mentioned that the plasma facing components can withstand the ultra-high heat flux of up to 20 MW m −2 loaded on the divertor vertical target under the current cooling system conditions. P. Liu et al [16] collected 1356 CHF data from 15 literatures in order to find the CHF correlation that shows the highest accuracy in the tokamak cooling system condition where the ultra-high heat flux is loaded under high pressure condition. Based on this, the prediction performance of 10 representative CHF correlations was evaluated.…”
Section: Introductionmentioning
confidence: 99%
“…With the advancement of science and technology, there is an urgent need to address high heat flux issues in electronic components [1][2][3][4], necessitating innovative cooling methods. Microchannel cooling technology provides an efficient heat dissipation solution for these compact, high-heat-flux components [5][6][7][8][9]. In the field of photovoltaic power generation, concentrated photovoltaic (CPV) cells operate typically under 500-1000 times concentration, resulting in extremely high heat flux densities and demanding heat dissipation requirements.…”
Section: Introductionmentioning
confidence: 99%