SAE Technical Paper Series 2016
DOI: 10.4271/2016-01-0208
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Numerical Investigation of Geometry Effects on Flow, Heat Transfer and Defrosting Characteristics of a Simplified Automobile Windshield with a Single Row of Impinging Jets

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Cited by 12 publications
(4 citation statements)
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“…Since the heat conduction within the windshield was governed by a partial differential equation as given by equation (17), the corresponding temperature variation was supposed to be a function of both spatial position and time. In this study, the commercial code FLUENT 16.1, 30 based on a finite volume method, was used to solve the second-order nonlinear partial differential equation on quadrilateral meshes (Figure 3(b)).…”
Section: Numerical Solution Methodologymentioning
confidence: 99%
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“…Since the heat conduction within the windshield was governed by a partial differential equation as given by equation (17), the corresponding temperature variation was supposed to be a function of both spatial position and time. In this study, the commercial code FLUENT 16.1, 30 based on a finite volume method, was used to solve the second-order nonlinear partial differential equation on quadrilateral meshes (Figure 3(b)).…”
Section: Numerical Solution Methodologymentioning
confidence: 99%
“…an impinging jet heat transfer) was actively triggered during a nocturnal cooling process, then h in could be largely enhanced to reach a level of 10 to even 40 times the baseline value. 17,42 Consequently, similar to the potential control of k w and ε rad , by employing the control factor h in with a wider variation range (e.g. making h in vary from 3.85 to 53.58), the response of Δ T super f could be achieved based on the present mathematical model as shown in Figure 16.…”
Section: Potential Control Strategymentioning
confidence: 98%
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“…The SST k-ω turbulence model was used with standard model coefficients embedded in ANSYS Fluent (v. 19.2). The SST model considers the transfer of turbulent shear stress when determining turbulent viscosity, which makes this model quite accurate and reliable for a wide class of flows [42,43].…”
Section: Gas Flow Modelmentioning
confidence: 99%