Abstract:There are many studies on the gas-liquid Taylor flow in T-junction microdevices, but the general design rules for gas-liquid microreactors are not well developed. This work is trying to develop...
“…In addition, the effect on the downstream flow behavior must also be noted, as a linear relationship between the bubble velocity and the two-phase average flow rate in the microchannel has previously been reported, and this linear coefficient is viscosity dependent. 9 However, experimentally in this work, as shown in Fig. 2(b), it can be seen that the bubble velocity is much higher than that calculated from the reported linear coefficient.…”
Section: Data Preparationcontrasting
confidence: 53%
“…13 And recent studies have focused on the effect of gas-phase flow rate, so inertial forces are also difficult to ignore. 9,39 What is more noteworthy is that these forces are often not of the same order of magnitude, and with different equipment structures and system properties, these forces tend to have one or two more prominent than other forces, which is also the logic of conventional mechanistic modeling ideas which analyze the interfacial behavior of the bubble generation and the hydrodynamic behavior to select the dimensionless number. Then this is not able to achieve good prediction, as shown in Fig.…”
Section: Prediction Performancementioning
confidence: 99%
“…It can be seen that the direction of deviation here is the same as that reported previously, reflecting the accuracy of the model. [9][10][11]19 The dispersion results are most sensitive to changes in channel size, while changes in physical properties and flow rate may also have some effect on the dispersion results, but not much, which proves that small fluctuations in flow rate and physical properties will not have a significant impact on dispersion as long as the channel size is kept appropriate under scaled-up and actual working conditions.…”
Section: A Design Of Gas-liquid T-junction Microreactormentioning
confidence: 99%
“…In particular, there has been a significant amount of research on the generation of microbubbles. [8][9][10][11] Three types of microdevice have been studied extensively: namely Tjunctions, flow-focusing, and co-flowing. A T-junction is the best known among these three types and is widely used in scientific research.…”
Section: Introductionmentioning
confidence: 99%
“…Chang et al used energy efficiency to describe the bubble generation process, and the prediction model of energy efficiency can be used for more than one device. 9 Regrettably, this prediction is still limited to one mode of shearing and the calculation of the bubble size is not intuitive enough and requires several conversion steps. Thus, either for the design of a gas-liquid microreactor or for more intensive scientific research, a more suitable prediction model is necessary.…”
In recent years, many models have been developed to describe gas-liquid microdispersion process, which mainly rely on mechanistic analysis and may not be universally applicable. In order to provide a...
“…In addition, the effect on the downstream flow behavior must also be noted, as a linear relationship between the bubble velocity and the two-phase average flow rate in the microchannel has previously been reported, and this linear coefficient is viscosity dependent. 9 However, experimentally in this work, as shown in Fig. 2(b), it can be seen that the bubble velocity is much higher than that calculated from the reported linear coefficient.…”
Section: Data Preparationcontrasting
confidence: 53%
“…13 And recent studies have focused on the effect of gas-phase flow rate, so inertial forces are also difficult to ignore. 9,39 What is more noteworthy is that these forces are often not of the same order of magnitude, and with different equipment structures and system properties, these forces tend to have one or two more prominent than other forces, which is also the logic of conventional mechanistic modeling ideas which analyze the interfacial behavior of the bubble generation and the hydrodynamic behavior to select the dimensionless number. Then this is not able to achieve good prediction, as shown in Fig.…”
Section: Prediction Performancementioning
confidence: 99%
“…It can be seen that the direction of deviation here is the same as that reported previously, reflecting the accuracy of the model. [9][10][11]19 The dispersion results are most sensitive to changes in channel size, while changes in physical properties and flow rate may also have some effect on the dispersion results, but not much, which proves that small fluctuations in flow rate and physical properties will not have a significant impact on dispersion as long as the channel size is kept appropriate under scaled-up and actual working conditions.…”
Section: A Design Of Gas-liquid T-junction Microreactormentioning
confidence: 99%
“…In particular, there has been a significant amount of research on the generation of microbubbles. [8][9][10][11] Three types of microdevice have been studied extensively: namely Tjunctions, flow-focusing, and co-flowing. A T-junction is the best known among these three types and is widely used in scientific research.…”
Section: Introductionmentioning
confidence: 99%
“…Chang et al used energy efficiency to describe the bubble generation process, and the prediction model of energy efficiency can be used for more than one device. 9 Regrettably, this prediction is still limited to one mode of shearing and the calculation of the bubble size is not intuitive enough and requires several conversion steps. Thus, either for the design of a gas-liquid microreactor or for more intensive scientific research, a more suitable prediction model is necessary.…”
In recent years, many models have been developed to describe gas-liquid microdispersion process, which mainly rely on mechanistic analysis and may not be universally applicable. In order to provide a...
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