SAE Technical Paper Series 2010
DOI: 10.4271/2010-01-2035
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Aerodynamic Shape Optimization of a Container-Truck's Wind Deflector Using Approximate Model

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Cited by 10 publications
(9 citation statements)
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“…where η= (k/ε)(G/v t ) 0.5 , σ k = σ ε = 0.7149 is the turbulent Prandtl number in the k and the ε equation [33], C µ = 0.0845, C 1ε = 1.42, C 2ε = 1.68, η 0 = 4.38, β = 0.012. The solutions of the governing equations were carried out in STAR-CCM+.…”
Section: Governing Equationsmentioning
confidence: 99%
“…where η= (k/ε)(G/v t ) 0.5 , σ k = σ ε = 0.7149 is the turbulent Prandtl number in the k and the ε equation [33], C µ = 0.0845, C 1ε = 1.42, C 2ε = 1.68, η 0 = 4.38, β = 0.012. The solutions of the governing equations were carried out in STAR-CCM+.…”
Section: Governing Equationsmentioning
confidence: 99%
“…This capability is being exploited in the rapidly-growing research field of Computational Fluid Dynamics (CFD) optimization which is being utilised across a range of areas including aerospace engineering [2,3], tribology [4], polymer moulding [5], ship design [6], vehicle aerodynamics [7][8][9][10], hospital ward ventilation [11] and jet pump design [12]. Although these examples demonstrate the versatility of CFD-based optimization, there is one aspect which can prove problematic: the presence of numerical noise in the CFD responses [10,[13][14][15][16][17][18][19].…”
Section: Introductionmentioning
confidence: 99%
“…Altering either the sides of the trailer or the tailboard is not feasible as this would impair daily operation, which means that shape optimization of a bolt-on headboard fairing contributes a promising design objective. Similar devices have been shown to exhibit sizeable drag reduction figures in wind tunnel experiments (Garry 1981;Charwat 1983) and through the use of CFD simulations (Gilkeson et al 2008;Gong et al 2010). …”
Section: Problem Formulationmentioning
confidence: 89%
“…The ability of CFD methods, such as those based on popular Reynolds averaged Navier-Stokes (RANS) turbulence models, to predict drag and surface pressure coefficients accurately for flow past complex vehicle geometries (Roy 2006;Roy and Ghuge 2009) has also led to increasing popularity of CFD-based optimization methods in vehicle design. Interesting recent examples include the design of high-speed trains (Krajnović 2009), and container truck wind deflectors (Gong et al 2010).…”
Section: Introductionmentioning
confidence: 99%