Fluid Mechanics of Droplet Spreading of Chitosan/PVA-Based Spray Coating Solution on Banana Peels with Different Wettability

被引:0
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作者
Wardhono, Endarto Yudo [1 ]
Kanani, Nufus [1 ]
Pinem, Mekro Permana [2 ]
Sukamto, Dwinanto [2 ]
Meliana, Yenny [3 ]
Saleh, Khashayar [4 ]
Guenin, Erwann [4 ]
机构
[1] Univ Sultan Ageng Tirtayasa, Chem Engn, Cilegon 42435, Indonesia
[2] Univ Sultan Ageng Tirtayasa, Mech Engn, Cilegon 42435, Indonesia
[3] Natl Res & Innovat Agcy, Res Ctr Chem, BRIN, South Tangerang 15314, Banten, Indonesia
[4] Univ Technol Compiegne, Ctr Rech Royallieu, ESCOM, TIMR Integrated Transformat Renewable Matter, CS 60 319, F-60203 Compiegne, France
关键词
CS/PVA solution; banana peels; spreading behavior; beta(max); scaling law analysis; IMPACT; LIQUID; VISCOSITY; BEHAVIOR; SURFACE;
D O I
10.3390/polym15214277
中图分类号
O63 [高分子化学(高聚物)];
学科分类号
070305 ; 080501 ; 081704 ;
摘要
The spreading behavior of a coating solution is an important factor in determining the effectiveness of spraying applications. It determines how evenly the droplets spread on the substrate surface and how quickly they form a uniform film. Fluid mechanics principles govern it, including surface tension, viscosity, and the interaction between the liquid and the solid surface. In our previous work, chitosan (CS) film properties were successfully modified by blending with polyvinyl alcohol (PVA). It was shown that the mechanical strength of the composite film was significantly improved compared to the virgin CS. Here we propose to study the spreading behavior of CS/PVA solution on fresh bananas. The events upon droplet impact were captured using a high-speed camera, allowing the identification of outcomes as a function of velocity at different surface wettabilities (wetting and non-wetting) on the banana peels. The mathematical model to predict the maximum spreading factor, beta(max), was governed by scaling law analysis using fitting experimental data to identify patterns, trends, and relationships between beta(max) and the independent variables, Weber (We) numbers, and Reynolds (Re) numbers. The results indicate that liquid viscosity and surface properties affect the droplet's impact and spreading behavior. The Ohnesorge (Oh) numbers significantly influenced the spreading dynamics, while the banana's surface wettability minimally influenced spreading. The prediction model reasonably agrees with all the data in the literature since the R-2 = 0.958 is a powerful goodness-of-fit indicator for predicting the spreading factor. It scaled with beta(max)=a+0.04We.Re-1/3, where the "a" constants depend on Oh numbers.
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页数:13
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