2018
DOI: 10.1007/s11630-018-0984-5
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Turbulent convective heat transfer of methane at supercritical pressure in a helical coiled tube

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Cited by 19 publications
(4 citation statements)
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“…As shown in the table, most scholars validated their numerical methods by comparing the Nusselt number, heat transfer coefficient or wall temperature of the available experimental data in the literature [19,50,52,78,79]. However, due to the limited experimental and DNS database of supercritical fluids flowing in curved tubes, some studies can only validate the numerical calculations with experimental data in straight tubes [80] or empirical correlation with constant fluid properties [81,82]. Therefore, more experimental and DNS studies should be conducted to provide an abundant reliable database for numerical model validation.…”
Section: Numerical Studymentioning
confidence: 99%
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“…As shown in the table, most scholars validated their numerical methods by comparing the Nusselt number, heat transfer coefficient or wall temperature of the available experimental data in the literature [19,50,52,78,79]. However, due to the limited experimental and DNS database of supercritical fluids flowing in curved tubes, some studies can only validate the numerical calculations with experimental data in straight tubes [80] or empirical correlation with constant fluid properties [81,82]. Therefore, more experimental and DNS studies should be conducted to provide an abundant reliable database for numerical model validation.…”
Section: Numerical Studymentioning
confidence: 99%
“…To effectively and accurately obtain the thermal physical properties distribution along the physical model, it is essential to choose an appropriate turbulence model. The turbulence model can be Spalart Allmaras (SA/RSM) [78], Renormalization Group (RNG) k-ε [30,60,61,81,83], RSM [80] or Shear Stress Transport SST k-ω [19,32,50,79,84]. As shown in Table 2, SST k-ω models and RNG k-ε model are mostly used in the previous numerical analysis.…”
Section: Numerical Studymentioning
confidence: 99%
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“…The superposition of the buoyancy secondary flow and the centrifugal secondary flow resulted in the maximum Vs near the bottom being 17.6% higher than that near the top. Wang et al [10] numerically analyzed the characteristics of supercritical methane in heated horizontal HCT under constant wall temperature with Reynolds Stress Model. The combined influences of buoyancy and centrifugal force led to the appearance of cold fluid at the outer-right region.…”
Section: Introductionmentioning
confidence: 99%