Study of bubble behavior in high-viscosity liquid in a pseudo-2D column using high-speed imaging. (28th April 2022)

• Record Type: Journal Article
• Authors: Gao, Deyang; Li, Xue; Hou, Baolin; Lu, Fang; Ye, Mao; Wang, Aiqin; Wang, Xiaodong
• Is Part Of: Chemical engineering science. Volume 252(2022)
• Publication Date: 2022-04-28
• Subjects: Bubbly flows -- High viscosity -- Aspect ratio -- Conjunct bubbles -- High-speed imaging; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2022.117532
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: The behavior of bubbles in high-viscosity liquid with bubble swarms was investigated using high-speed imaging. A correlation was proposed for equivalent diameters at different heights. The aspect ratio E was deemed appropriate for describing the bubble shape in bubbly flows with conjunct bubbles. Compared with Eo – E and Ta – E correlation, the EoRe – E correlation showed a better performance, and a novel EoRe – E correlation was proposed. Abstract: Bubbles, as a critical microscale phenomenon, play an important role in determining the performance of gas–liquid transport and reactions. Reactors should be designed and scaled up suitably to investigate their bubble dynamics, which is generally influenced by the liquid viscosity. Compared to low-viscosity systems, high-viscosity systems have rarely been investigated for their bubble behavior (especially their bubble swarm behavior, which is often involved in relevant industrial processes). This paper reports a case study of nitrogen–glycerin viscous systems, conducted via high-speed imaging. Bubbly flows with naturally generated interactions and collisions are investigated quantificationally, and the special conjunct bubble is observed qualitatively. The correlation of equivalent bubble diameters is obtained for the relevant viscous system by fitting the experimental results. The aspect ratio that characterizes the bubble shape is correlated, and a novel EoRe – E equation is derived.