Capillary plugs in horizontal rectangular tubes with non-uniform contact angles

Zhu, Chengwei; Zhou, Xinping; Zhang, Gang

doi:10.1017/jfm.2020.598

Cited by 10 publications

(16 citation statements)

References 14 publications

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“…We should examine the effect of changing the inside rod contact angle from the outer tube contact angle (which is different from the case of differing contact angles of four linked walls of the rectangle as shown in Zhu et al. 2020) on Bo c . As shown in figure 4, Bo c reaches the maximum at contact angles of γ o = γ i = 90°.…”

Section: Resultsmentioning

confidence: 98%

“…Using numerical optimization scheme of Zhu et al. (2020) found that this analytic result works for rectangular capillary of a large width-to-height ratio providing the gas–liquid interface for the liquid non-occlusion state meets the two vertical walls so that the problem remains two-dimensional. If, however, the interface(s) for the non-occlusion state has two (four) contact points in one (two separated) corner region(s) then a modification is required; for more details see Zhu et al.…”

Section: Introductionmentioning

confidence: 96%

“…In the recent work of our group (Zhu, Zhou & Zhang 2020), a strategy of setting the four linked wall surfaces of a horizontal rectangular capillary to have differing contact angles was proposed to reduce Bo c as much as possible. It was found that Bo c of a horizontal rectangular tube can be effectively decreased by decreasing the bottom and one side contact angles and increasing the top and the other side contact angles.…”

Section: Introductionmentioning

confidence: 99%

“…If, however, the interface(s) for the non-occlusion state has two (four) contact points in one (two separated) corner region(s) then a modification is required; for more details see Zhu et al. (2020).…”

Section: Introductionmentioning

confidence: 99%

“…2016; Zhu et al. 2020) are based on theoretical research and little experimental work has been carried out. Evidently, a change in the cross-sectional shape will affect the emptying of a tube and the simplest possible shape change will result if a rod is inserted into the circular tube, effectively creating an annular tube.…”

Section: Introductionmentioning

confidence: 99%

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Section: Resultsmentioning

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We present the first machine-learned multiple-input multiple-output aerodynamic feedback control under varying operating conditions. Closed-loop control is relevant to many fluid dynamic applications ranging from gust mitigation to drag reduction. Existing machine learning control investigations have been mainly applied under steady conditions. The current study leverages gradient-enriched machine learning control (Cornejo Maceda et al. in J Fluid Mech 917:A42, 2021) to identify optimal control laws under unsteady conditions. The approach is exemplified on a coupled oscillator system with unsteady coupling and demonstrated for a generic truck model undergoing a yawing maneuver. Key enablers of the experiment are a rich set of pneumatic actuators and pressure sensors. The results demonstrate the method’s capabilities in identifying an efficient forcing for control under dynamically changing conditions. This automated and generalizable closed-loop control strategy complements and expands the machine learning control field and promises a new fast-track avenue to efficiently control a broader set of fluid flow problems.

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Capillary plugs in horizontal rectangular tubes with non-uniform contact angles

Abstract: Abstract

Cited by 10 publications

References 14 publications

Inside rod induced horizontal capillary emptying

Inside rod induced horizontal capillary emptying

Temperature distribution in the cross section of wavy and falling thin liquid films

Aerodynamic optimization of a generic light truck under unsteady conditions using gradient-enriched machine learning control

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