A novel numerical approach for investigation of the gas bubble characteristics in stagnant liquid using Young-Laplace equation. (14th December 2017)

• Record Type: Journal Article
• Authors: Gharedaghi, Hamed; Dousti, Ahmad; Eshraghi, Javad; Hanafizadeh, Pedram; Ashjaee, Mehdi
• Is Part Of: Chemical engineering science. Volume 173(2017)
• Page Start: 37
• Page End: 48
• Publication Date: 2017-12-14
• Subjects: Numerical investigation -- Young-Laplace equation -- Multi section bubble method -- Bubble profile prediction -- Nanofluid -- Bond number; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2017.07.018
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: The Young-Laplace equation with MSB method is developed to predict the gas bubble shape. The bubble height is obtained from experiments in deionized water and SiO2 nanofluids. Bubble size is compared with conventional Young-Laplace method and experiments. Bubble characteristics such as volume, center of gravity, instantaneous contact angle, and aspect ratio are obtained. Sensitivity of bubble characteristics to the Bond number has been considered. Abstract: In the present study, the Young-Laplace equation was applied to simulate the adiabatic gas bubble growth from a submerged needle in stagnant liquid column. In order to solve the Young-Laplace equation the axisymmetric bubble height was used as input from experimental data. To increase the accuracy of Young-Laplace equations' prediction during the bubble growth, the bubble was divided into four sections with the same height, and Young-Laplace equation was solved for each section individually. By dividing the bubble into four sections, the effects of viscosity and inertia forces within each section were reduced as compared to that of buoyancy and liquid-gas surface tension. Unlike the conventional Young-Laplace approach (one Young-Laplace equation for the entire bubble), the new approach was able to predict bubble characteristics reliably during the growth cycle. The bubble growth was investigated in a column of liquid with a triple contact line that fixed to the needle perimeter. To validate the numerical results, the bubble profiles that predicted by numerical simulation were compared with the experimental results. Experiments were performed by injection of air at constant gas flow rate of 600 ml/h in the quiescent deionized water and SiO2 nanofluid. The nanoparticle concentrations were 0.05, 0.1 and 0.2 wt%, and air flow injected from G14 and G17 standard needles. Eventually, evaluation of bubble characteristics, such as the bubble volume, the center of gravity, the instantaneous contact angle, and the bubble aspect ratio were investigated, and the effects of variation of liquid properties on the bubble characteristics were discussed. The results show that the present method can predict the bubble shape during 97.5% of growth time with mean absolute error of 6%. Furthermore, the results revealed that the bubble size decreased with increment of Bond number. Also, bubble instantaneous contact angle and bubble aspect ratio were almost irrelative to Bond number during the growth cycle.