Utilizing CFD Approach for Preeminent Assessment of Defroster Air Flow Distribution and Predicting Windscreen Deicing Behavior

Jahani, Kambiz; Beigmoradi, Sajjad

doi:10.4271/2014-01-0688

Cited by 8 publications

(3 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In terms of h in , as it increased, more heat from the cabin air was expected to be transferred to the windshield, thus reducing the cooling rate of the windshield as well as the value of DT f super to some extent (Figure 8). Similarly, as for u, an increase in u generally caused a higher value of h out based on equations (15) and (16), which was supposed to enhance the energy exchange between the ambient air and the windshield, thus compensating for the heat loss of the windshield due to nocturnal radiation. This could be expected to induce a certain decline in DT f super (Figure 8).…”

Section: Sensitivity Analysismentioning

confidence: 99%

“…[13][14][15][16][17][18] However, under certain severe conditions, frosting on an automobile windshield still remains a problem with respect to driving safety, customer satisfaction, and even the driving range of electric vehicle. 15,17,[18][19][20] Meanwhile, to the authors' best knowledge, the numerical prediction as well as the parameter sensitivity analysis and potential control of the occurrence of frosting has not yet been studied, especially for an automobile windshield which is involved in complex thermal physics under practical nocturnal radiative cooling and freezing conditions. In this context, it is of particular interest to identify the influence of each associated factor as well as the feasibility of potential control of the occurrence of frosting.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A numerical prediction and potential control of typical icing process on automobile windshield under nocturnal radiative cooling and subfreezing conditions

Yang

Jin

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

In this work, a simplified mathematical model, concerned with transient heat conduction as well as convective and radiative heat transfer, was developed to predict the variations of temperature and supercooling of the windshield during practical nocturnal cooling processes of a car. Final supercooling [Formula: see text] was introduced as an indicator to evaluate the probability of occurrence of frosting. Following that, the Taguchi statistical method was used to conduct a parameter sensitivity analysis and then figure out the potential control strategies for frosting suppression. The results showed that relative humidity had the most significant influence on the distribution of supercooling during the nocturnal cooling period, whereas the initial temperature as well as the thickness and thermal conductivity of the windshield played a minor role in it. An increase in relative humidity resulted in a significant increase in [Formula: see text], which might be expected to trigger an earlier initiation of frosting. The emissivity of the windshield, concerned with the nocturnal radiation potential, showed a considerable effect on the response of [Formula: see text], whereas the influence of the total opaque cloud amount appeared to be largely limited. In addition, through a potential control of the thermal conductivity of the windshield, [Formula: see text] just exhibited a very limited decline, thus contributing little to frosting mitigation. However, with a moderate potential control of the internal convective heat transfer coefficient, the frosting behavior might be effectively suppressed under a severe condition that favored the occurrence of icing. Besides, by introducing a combined control of the emissivity of the windshield and the internal convective heat transfer coefficient, [Formula: see text] could be well reduced to a value below zero even as the relative humidity increased up to 90%, which was supposed to prevent the occurrence of frosting under a far severer condition.

show abstract

Section: Sensitivity Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A numerical prediction and potential control of typical icing process on automobile windshield under nocturnal radiative cooling and subfreezing conditions

Yang

Jin

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…For the abovementioned reason, many studies have been conducted on defrost efficiency of traditional automotive window. In this regard, Jahani and Beigmoradi [3] proposed a variety of modification methods to reduce the time of deicing process for windshield by using computational fluid dynamic (CFD) simulation. Goldasteh et al [4] studied the defrost mode of windshield based on the numerical model of a car cabin with full heating, ventilation, and airconditioning (HVAC) system using Star-CCM+, which demonstrated that the CFD simulation results matched the experimental results by accessing with the correlation coefficient method.…”

Section: Introductionmentioning

confidence: 99%

Defrost Efficiency Analysis of PMMA Rear Window

Qiu

Gao

Fang

et al. 2016

SAE Technical Paper Series

View full text Add to dashboard Cite

As a potential material for lightweight vehicle, polymethyl methacrylate (PMMA) has proven to perform well in optical behavior and weather resistance. However, the application in automotive glazing has seldom been studied. This paper investigates the defrost performance of PMMA rear window using both numerical and experimental methods. The finite element analysis (FEA) results were found to be in good agreement with the experimental data. Based on the validated finite element model, we further optimized the defrost efficiency by changing the arrangement of heating lines. The results demonstrated the frost layer on the vision-related region of PMMA rear window can melt within 30 minutes, which meets the requirement of defrost efficiency.

show abstract

Numerical Optimization of the Defrosting Performance of the Vehicle Based on Discrete Adjoint Approach

Sishi

Zhang

Huang

et al. 2021

Int.J Automot. Technol.

View full text Add to dashboard Cite

Utilizing CFD Approach for Preeminent Assessment of Defroster Air Flow Distribution and Predicting Windscreen Deicing Behavior

Cited by 8 publications

References 5 publications

A numerical prediction and potential control of typical icing process on automobile windshield under nocturnal radiative cooling and subfreezing conditions

A numerical prediction and potential control of typical icing process on automobile windshield under nocturnal radiative cooling and subfreezing conditions

Defrost Efficiency Analysis of PMMA Rear Window

Numerical Optimization of the Defrosting Performance of the Vehicle Based on Discrete Adjoint Approach

Contact Info

Product

Resources

About