Application of smart models for prediction of the frost layer thickness on vertical cryogenic surfaces under natural convection

Zendehboudi, Alireza; Wang, Baolong; Li, Xianting

doi:10.1016/j.applthermaleng.2017.01.049

Cited by 39 publications

(7 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although some advancements in experimental assessment of the frost layer characteristics are achieved, the laboratory investigations are time-consuming, costly, and also need more advanced equipment. Moreover, the development of a computational method can complement the measurement data for a better understanding of the impact of various variables on frost growth and thermal conductivity 4 – 7 .…”

Section: Introductionmentioning

confidence: 99%

An insight into the estimation of frost thermal conductivity on parallel surface channels using kernel based GPR strategy

Zhou

Naseri

2021

Sci Rep

View full text Add to dashboard Cite

In heat exchange applications, frost formation on the cold surface causes a decrease in the rate of heat transfer and growth in the pressure drop. Thus, the study on the frost thermal conductivity has a significant and vital place for the engineers and researchers dealing with the heat exchangers. In the literature, there is a lack of accurate and applicable methods for determination of frost thermal conductivity. Additionally, the high cost and difficulties of experimental works clarify the importance of computational and mathematical methods. The errors in the determination of frost thermal conductivity on parallel surface channels can cause inaccuracy in estimations of frost density and thickness. The main aim of present work is suggesting Gaussian Process Regression (GPR) models based on four different kernel functions for the estimation of frost thermal conductivity in terms of time, air velocity, relative humidity, air temperature, wall temperature, and frost porosity. To achieve this purpose, a total number of 57 frost thermal conductivity values has been collected. Comparing the suggested GPR models and other available computational methods express the quality of the developed models. The best predictive tool has been selected as a GPR model, including Matern kernel function with R2 values of 0.997 and 0.994 in training and testing phases, respectively. In addition, the effectiveness of discussing variables on frost thermal conductivity has been investigated by sensitivity analysis and showed that air temperature is the most effective parameter. The present work gives engineers an insight into frost thermal conductivity and the effective parameters in its determination.The significant advantage of present work is the accurate prediction of thermal conductivity by a brief knownledge in artificial intelligence.

show abstract

Section: Introductionmentioning

confidence: 99%

An insight into the estimation of frost thermal conductivity on parallel surface channels using kernel based GPR strategy

Zhou

Naseri

2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…Sommers et al [23] proposed a new semi-empirical correlation, which was a function of the modified Jakob number and contained two correction terms. Zendehboudi et al [24] used 711 organized data samples to train and test the model, and conducted comprehensive error analysis to verify the adaptive neuro-fuzzy reasoning system.…”

Section: Introductionmentioning

confidence: 99%

Study on The Effect of Different Plenum Chamber Coefficients on Frosting of Air-cooler

et al. 2021

View full text Add to dashboard Cite

The performance of the air-cooler in the refrigeration system plays a key role in improving the energy efficiency. Here, the plenum chamber coefficient was defined to study a possible way of enhancing the refrigeration system performance. In order to investigate the influence of the plenum chamber coefficient on the frosting and the cooling system of the chillers, three plenum chamber coefficients (0.74,0.97,1.2) were studied under high humidity. The temperature decreasing curve of the environmental chamber, the velocity distribution of the air cooler, and the frost accumulation under and on the air-cooler were analysed. The results show that the frost accumulation on the tube will increase with the increase of the plenum chamber coefficient and the frost accumulation on the fin will increase at first and then decrease with the increase of the plenum chamber coefficient. On the whole, in this study, frosting is the most obvious when the plenum chamber coefficient was 0.97

show abstract

“…Stainless steel is widely used in air conditioners, subzero refrigeration, and air-source heat pumps due to its good weldability, corrosion resistance, and heat resistance. However, one major problem in these fields is frosting. − The existence of the frost layer brings many hazards to the operation of the equipment system. It can cause the performance of the heat pump to decline and can even cause the equipment to shut down in severe cases.…”

Section: Introductionmentioning

confidence: 99%

Antifrosting Performance of a Superhydrophobic Surface by Optimizing the Surface Morphology

et al. 2020

View full text Add to dashboard Cite

Improving the antifrosting ability of stainless steel is crucial. In previous reports, many efforts have been dedicated to enhancing the antifrosting performance of superhydrophobic surface by fabricating different surface morphology. However, no researchers have proposed what kind of surface morphology can effectively prevent the frost based on the theory of superhydrophobic surfaces. In this article, we build a simulation model to study the effects of different surface morphology on antifrosting based on the Cassie model. We find that the higher the proportion of air between the droplet and the substrate, the better the antifrosting performance of the superhydrophobic surface. Therefore, we propose one superhydrophobic surface (denoted as sample #R) fabricated by selective growth. It can contain more air between the droplet and the surface.Further frosting experiments at a low temperature of −21 °C and a humidity of 75% show that 15% frost coverage on sample #R can be delayed to 63 h, as compared to less than 3 h for untreated stainless steel. In addition, the preparation method is generally applicable to other metals. Therefore, this work provides new insights into the rational design of a superhydrophobic surface with antifrosting in a harsh environment.

show abstract

Application of smart models for prediction of the frost layer thickness on vertical cryogenic surfaces under natural convection

Cited by 39 publications

References 23 publications

An insight into the estimation of frost thermal conductivity on parallel surface channels using kernel based GPR strategy

An insight into the estimation of frost thermal conductivity on parallel surface channels using kernel based GPR strategy

Study on The Effect of Different Plenum Chamber Coefficients on Frosting of Air-cooler

Antifrosting Performance of a Superhydrophobic Surface by Optimizing the Surface Morphology

Contact Info

Product

Resources

About