2023
DOI: 10.7498/aps.72.20221822
|View full text |Cite
|
Sign up to set email alerts
|

Interaction and motion of two neighboring Leidenfrost droplets on oil surface

Abstract: Evaporation of droplets over a hot oil surface is a natural phenomenon. However, most existing studies focus on a single droplet, and the evaporation of multiple droplets is insufficiently understood. Here, we explore the Leidenfrost evaporation of two identical FC-72 droplets over a hot oil bath. The oil temperature covers 73.6~126.6 <sup>°</sup>C, and the evaporation of droplets with an initial diameter of 1.5 mm was recorded by an infrared thermographer and a high-speed camera. The shallow oil d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
304
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 196 publications
(307 citation statements)
references
References 44 publications
3
304
0
Order By: Relevance
“…When q is 0, the driving factor is independent of the dependent variable. When q is 1, the independent variable controls the spatial distribution of the dependent variable (Wang and Xu, 2017). The value of q is calculated by the formula as follows:…”
Section: Driving Forces Exploration Methodsmentioning
confidence: 99%
“…When q is 0, the driving factor is independent of the dependent variable. When q is 1, the independent variable controls the spatial distribution of the dependent variable (Wang and Xu, 2017). The value of q is calculated by the formula as follows:…”
Section: Driving Forces Exploration Methodsmentioning
confidence: 99%
“…Geographic detectors are statistical methods for detecting spatial differentiation and determining its driving forces (Wang and Xu, 2017). Natural, economic, and human factors all have an impact on water yield, making it a very complex process (Su and Wang, 2018).…”
Section: Geographical Detector Analysismentioning
confidence: 99%
“…In terms of water yield, the relevant research primarily employed the methods of correlation analysis, local statistical analysis, and spatial mapping to qualitatively describe or quantitatively analyze the driving factors of water yield services, ignoring the differences between the driving factors and water yield services in geographical space (Huang et al, 2022). Geographic Detector is a novel spatial statistical method that detects the consistency of the spatial distribution pattern of dependent and independent variables through spatial heterogeneity, as well as measures the interpretation of dependent variables to independent variables and their interrelationships (Wang and Xu, 2017). Therefore, it has been widely used in research on land use, ecosystem services, regional economies, and environmental pollution (Song et al, 2020;Huang et al, 2022;Kang et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…The Geodetector method [67] can be used to measure the spatial heterogeneity [68] and has been widely used in desertification [34,69], urbanization [70], landscape [71], and ecological environment quality studies [72].…”
Section: Geodetectormentioning
confidence: 99%
“…The q-value can measure discretization method's quality and be used as an evaluation criterion for the Geodetector method's results. Different discretization methods yield different q-values [68]. To better reveal the internal driving mechanism of the desertification sensitivity, we performed an optimal spatial discretization of the independent variables using the multiscale discretization method by comparing the natural breakpoint, the k-mean, and the equidistant interval methods [73].…”
Section: Geodetectormentioning
confidence: 99%