Experimental correlation of forced convection heat transfer from a NACA airfoil

Wang, X.; Bibeau, Eric; Naterer, G.F.

doi:10.1016/j.expthermflusci.2006.11.008

Cited by 29 publications

(18 citation statements)

References 31 publications

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“…3C the minimum ambient temperature T amb, min at which the photothermal trap induces melting: Δ T eq ( T amb, min ) = T amb, min . A wide workable region exists for buildings, solar panels ( 36 ), and wind turbines ( 6 , 37 ) that experience a moderate heat transfer coefficient of a few tens of W m −2 K −1 . Figure S3 shows a demonstration experiment of melting using an illumination of 1 sun under shear flow conditions ( h ~ 70 W m −2 K −1 ).…”

Section: Resultsmentioning

confidence: 99%

Photothermal trap utilizing solar illumination for ice mitigation

2018

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Section: Resultsmentioning

confidence: 99%

Photothermal trap utilizing solar illumination for ice mitigation

2018

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“…Experimental data combined with dimensionless variables can be used to develop convenient correlations that summarize the main trends resulting from complicated flow fields. For example, Wang et al [25] showed that experimental data of droplet flow impingement on a wind turbine airfoil will collapse consistently onto a single normalized correlation of Nu/Pr 1/3 at varying Prandtl numbers. Furthermore, it was shown that the functional form of the Hilpert correlation can effectively accommodate measured data for a wind turbine airfoil over a range of Reynolds numbers [26].…”

Section: Dimensional Analysis With the Buckingham-pi Theoremmentioning

confidence: 97%

Power correlation for vertical axis wind turbines with varying geometries

Pope

Naterer

Dinçer

et al. 2011

Int. J. Energy Res.

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SUMMARYIn this paper, a new predictive model that can forecast the performance of a vertical axis wind turbine (VAWT) is presented. The new model includes four primary variables (rotor velocity, wind velocity, air density, and turbine power output) as well as five geometrical variables (rotor radius, turbine height, turbine width, stator spacing, and stator angle). These variables are reduced to include the power coefficient (C p ) and tip speed ratio (TSR). A power coefficient correlation for a novel VAWT (called a Zephyr Vertical axis Wind Turbine (ZVWT)) is developed. The turbine is an adaptation of the Savonius design. The new correlation can predict the turbine's performance for altered stator geometry and varying operating conditions. Numerical simulations with a rotating reference frame are used to predict the operating performance for various turbine geometries. The case study includes 16 different geometries for three different wind directions. The resulting 48 data points provide detailed insight into the turbine performance to develop a general correlation. The model was able to predict the power coefficient with changes in TSR, rotor length, stator spacing, and stator angle, to within 4.4% of the numerical prediction. Furthermore, the power coefficient was predicted with changes in rotor length, stator spacing, and stator angle, to within 3.0% of the numerical simulations. This correlation provides a useful new design tool for improving the ZVWT in the specific conditions and operating requirements specific to this type of wind turbine. Also, the new model can be extended to other conditions that include different VAWT designs.

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“…Thus, the maximum value of the external heat transfer coefficient (h ext ) will occur near the leading edge where the boundary layer is thinnest. This kind of spatial variation of h ext is typically seen in experimental studies (Wang et al 2007). However, in the absence of actual experimental data for the spatial variation of h ext for a NACA0012 airfoil immersed in the hot gases in a typical gas turbine flow path, we propose to model this expected spatial variation of the h ext through a simplified relationship of the form of:…”

Section: Heat Transfer Model For Fgm Turbine Bladementioning

confidence: 98%

Comparative analysis of steady state heat transfer in a TBC and functionally graded air cooled gas turbine blade

Coomar

Kadoli

2010

Sadhana

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Internal cooling passages and thermal barrier coatings (TBCs) are presently used to control metal temperatures in gas turbine blades. Functionally graded materials (FGMs), which are typically mixtures of ceramic and metal, have been proposed for use in turbine blades because they possess smooth property gradients thereby rendering them more durable under thermal loads. In the present work, a functionally graded model of an air-cooled turbine blade with airfoil geometry conforming to the NACA0012 is developed which is then used in a finite element algorithm to obtain a non-linear steady state solution to the heat equation for the blade under convection and radiation boundary conditions. The effects of external gas temperature, coolant temperature, surface emissivity changes and different average ceramic/metal content of the blade on the temperature distributions are examined. Simulations are also carried out to compare cooling effectiveness of functionally graded blades with that of blades having TBC. The results highlight the effect of including radiation in the simulation and also indicate that external gas temperature influences the blade heat transfer more strongly. It is also seen that graded blades with about 70% ceramic content can deliver better cooling effectiveness than conventional blades with TBC.

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Experimental correlation of forced convection heat transfer from a NACA airfoil

Cited by 29 publications

References 31 publications

Photothermal trap utilizing solar illumination for ice mitigation

Photothermal trap utilizing solar illumination for ice mitigation

Power correlation for vertical axis wind turbines with varying geometries

Comparative analysis of steady state heat transfer in a TBC and functionally graded air cooled gas turbine blade

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