Combined effect of relative humidity and substrate temperature on evaporation of methanol droplet

Andalib, Sahar; Alshehri, Ali; Kavehpour, Pirouz

doi:10.1007/s11998-019-00271-w

Cited by 6 publications

(7 citation statements)

References 33 publications

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“…Due to the high hygroscopic nature of methanol, at higher relative humidity, water vapor transfers into the droplet at the liquid–gas interface. Water adsorbing–absorbing and possibly condensing on the interface is reported in previous studies 30 , 33 – 37 . The growth in the concentration of water content changes the interfacial tensions and results in higher contact angle 34 , 36 , 37 .…”

Section: Resultssupporting

confidence: 59%

“…Water adsorbing–absorbing and possibly condensing on the interface is reported in previous studies 30 , 33 – 37 . The growth in the concentration of water content changes the interfacial tensions and results in higher contact angle 34 , 36 , 37 . Unlike low relative humidity, substrate temperature plays a determining role in the regime of droplet evolution at high relative humidity of the surrounding.…”

Section: Resultssupporting

confidence: 59%

“…Both diameter and volume converge to a non-zero value. Lower substrate temperature enhances water uptake through condensation by dropping the liquid-gas interface temperature below that of dew point 37 . In this regime, droplet comes to a quasi-steady state with a remaining droplet consisting mainly of water 31 , 32 , 34 , 36 .…”

Section: Resultsmentioning

confidence: 99%

“…While the changes in relative humidity are commonly imposed environmental conditions, controlling ambient temperature to tune the effect of humidity is rather an expensive method for practical applications. The effects of relative humidity on methanol droplet evaporation was regulated by adjusting the temperature of the substrate 37 , 38 which is less expensive compared to controlling ambient temperature. It was concluded that increasing substrate temperature maintains the liquid–gas interface temperature above the dew point which in turn limits the water condensation on the drop.…”

Section: Introductionmentioning

confidence: 99%

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Data-driven time-dependent state estimation for interfacial fluid mechanics in evaporating droplets

Andalib

Taira

Kavehpour

2021

Sci Rep

Self Cite

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Droplet evaporation plays crucial roles in biodiagnostics, microfabrication, and inkjet printing. Experimentally studying the evolution of a sessile droplet consisting of two or more components needs sophisticated equipment to control the vast parameter space affecting the physical process. On the other hand, the non-axisymmetric nature of the problem, attributed to compositional perturbations, introduces challenges to numerical methods. In this work, droplet evaporation problem is studied from a new perspective. We analyze a sessile methanol droplet evolution through data-driven classification and regression techniques. The models are trained using experimental data of methanol droplet evolution under various environmental humidity levels and substrate temperatures. At higher humidity levels, the interfacial tension and subsequently contact angle increase due to higher water uptake into droplet. Therefore, different regimes of evolution are observed due to adsorption–absorption and possible condensation of water which turns the droplet from a single component into a binary system. In this work, machine learning and data-driven techniques are utilized to estimate the regime of droplet evaporation, the time evolution of droplet base diameter and contact angle, and level of surrounding humidity. Droplet regime is estimated by classification algorithms through point-by-point analysis of droplet profile. Decision tree demonstrates a better performance compared to Naïve Bayes (NB) classifier. Additionally, the level of surrounding humidity, as well as the time evolution of droplet base diameter and contact angle, are estimated by regression algorithms. The estimation results show promising performance for four cases of methanol droplet evolution under conditions unseen by the model, demonstrating the model’s capability to capture the complex physics underlying binary droplet evolution.

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Section: Resultssupporting

confidence: 59%

Section: Resultssupporting

confidence: 59%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Data-driven time-dependent state estimation for interfacial fluid mechanics in evaporating droplets

Andalib

Taira

Kavehpour

2021

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…Due to high hygroscopic nature of methanol, at higher relative humidity, water vapor transfers into the droplet at liquid-gas interface. Water adsorbing-absorbing and possibly condensing on the interface is reported in previous studies 28,32,35,[58][59][60] . The growth in the concentration of water content changes the interfacial tensions and results in higher contact angle 32,35,60 .…”

Section: Physics Of Droplet Evaporationmentioning

confidence: 58%

Data-Driven Real-Time Prediction for Interfacial Fluid Mechanics: Droplet Evaporation

Andalib¹,

Taira²,

Hp³

2021

Preprint

Self Cite

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Droplet evaporation plays crucial roles in biodiagnostics, microfabrication, and inkjet printing. Experimentally studying the evolution of a sessile droplet consisting of two or more components needs sophisticated equipment to control the vast parameter space affecting the physical process. On the other hand, non-axisymmetric nature of the problem, attributed to compositional perturbations, introduces challenges to numerical methods. In this work, droplet evaporation problem is studied from a new perspective. We analyze evolution of a sessile methanol droplet through data-driven classification and regression techniques. The models are trained using experimental data of methanol droplet evolution under various environmental humidity levels and substrate temperatures. At higher humidity levels, the interfacial tension and subsequently contact angle increase due to higher water uptake into droplet. Therefore, different regimes of evolution are observed due to adsorption-absorption and possibly condensation of water which turns the droplet into a binary system. We use classification algorithms to predict the regime of droplet with point-by-point analysis of droplet profile. Decision tree demonstrates a better performance compared to Na\text{\"i}ve Bayes (NB) classifier. Furthermore, through utilizing regression techniques, we predict the humidity level surrounding droplet as well as time evolution of macroscopic parameter (diameter or contact angle) of droplet. The prediction results show promising performance for four cases of methanol droplet evolution under conditions that are unseen by the model which demonstrates the capability of the model to capture the complex physics underlying binary droplet evolution.

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Review article: Microscale evaporative cooling technologies for high heat flux microelectronics devices: Background and recent advances

Nahar

Guye

et al. 2021

Applied Thermal Engineering

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Combined effect of relative humidity and substrate temperature on evaporation of methanol droplet

Cited by 6 publications

References 33 publications

Data-driven time-dependent state estimation for interfacial fluid mechanics in evaporating droplets

Data-driven time-dependent state estimation for interfacial fluid mechanics in evaporating droplets

Data-Driven Real-Time Prediction for Interfacial Fluid Mechanics: Droplet Evaporation

Review article: Microscale evaporative cooling technologies for high heat flux microelectronics devices: Background and recent advances

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