
doi: 10.1121/1.429309
The high rate of heat transfer (up to 500 MW/m2) which can be achieved by explosive bubbles has long been recognized. This process finds a widening range of application from microsurgery to computer peripherals design. The best-known example is the thermal ink-jet printer, where an ultrahigh heat flux applied for short duration of about 6 μs induces rapid bubble generation and growth, which drives an adequate mass of ink forward through the exit nozzle. Explosive boiling is a phenomenon in which boiling is developed in an explosive manner at large superheat. Superheat conditions can be realized by absorption of a strong laser beam or by quick heating of a surface. Reversible phase transitions near the fluid’s critical temperature by ‘‘acoustic explosive bubble’’ may provide a new way to continuously transfer the high thermal power associated with explosive boiling in a variety of heat exchange processes. For example, explosive bubbles could form the basis for fluid micropumping devices to be used in microrefrigerators. The present paper concentrates mainly on estimating the necessary conditions for realizing explosive boiling in liquids and how this boiling can be used to create a stable acoustic oscillation involving growth and collapse of the bubble.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
