2016
DOI: 10.29252/jafm.09.06.25808
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Parametric Study and Optimization of Ceiling Fan Blades for Improved Aerodynamic Performance

Abstract: ABSTARCT This paper includes parametric study and optimization of non-linear ceiling fan blades by combining the techniques of Design of Experiments (DOE), Response Surface Methods (RSM) and Computational Fluid Dynamics (CFD). Specifically, the nonlinear (elliptical) planform shape of ceiling fan blade is investigated in conjunction with blade tip width, root and tip angle of attack. Sixteen cases are designed for three blade ceiling fan using two level full factorial model. The flow field is modeled using Rey… Show more

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Cited by 15 publications
(11 citation statements)
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“…The values of the four response parameters selected in this research are listed in Table 2. All values of volumetric flow rate and mass flow rate were taken 1.5 m below the ceiling fan, and measurements were obtained as explained by Adeeb et al (2016).…”
Section: Resultsmentioning
confidence: 99%
“…The values of the four response parameters selected in this research are listed in Table 2. All values of volumetric flow rate and mass flow rate were taken 1.5 m below the ceiling fan, and measurements were obtained as explained by Adeeb et al (2016).…”
Section: Resultsmentioning
confidence: 99%
“…Among the kε models the Standard kε [1; 43-45; 48], as well as the Realizable kε model [46; 49] were applied. Besides that, also the SpalartAllmaras turbulence model is from particular interest, because it showed better agree ment with distant velocity measurements compared with the Standard kε and the kw model [15] as well as RNG kε [42].…”
Section: Measurementsmentioning
confidence: 96%
“…With the exception of the study shown in [15], sequential solutions were always used in the available studies (with documented pressure solution). A corresponding com parison could not be taken from the available literature.…”
Section: Boundary Conditions Cfd Simulationmentioning
confidence: 99%
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“…Design of experiments (DOE) and statistical regression techniques are able to explore the relationship and approximate the unknown function with limited samples. Thus, much research has been done on the coupling of CFD and DOE in the design of turbomachines, 2,3 blades, 4 engine, 5,6 and other automobile applications. 7 Song et al 8 developed a torque converter design optimization system, which integrated blade geometry design, CFD simulation, and optimization to simplify the design process for torque converters.…”
Section: Introductionmentioning
confidence: 99%