General Background of Flexible-Wing Flyers

In the development of MAVs, there are three main approaches, which are based on flapping-wings, rotating wings, and fixed wings for generating lift. We focus on the fixed, flexible-wing aerodynamics in this chapter. It is well known that flying animals typically have flexible wings to adapt to the flow environment. Birds have different layers of feathers, all flexible and often connected to each other. Hence, they can adjust the wing planform for a particular flight mode. The flapping modes of bats are more complicated than those of birds. Bats have more than two dozen independently controlled joints in the wing (Swartz, 1997) and highly deforming bones (Swartz et al., 1992) that enable them to fly at either a positive or a negative AoA, to dynamically change wing camber, and to create a complex 3D wing topology to achieve extraordinary flight performance. Bats have compliant thin-membrane surfaces, and their flight is characterized by highly unsteady and 3D wing motions (Figure 3.1). Measurements by Tian et al. (2006) have shown that bats exhibit highly articulated motion, in complete contrast to the relatively simple flapping motion of birds and insects. They have shown that bats can execute a 180° turn in a compact and fast manner: flying in and turning back in the space of less than one half of its wingspan and accomplishing the turn within three wing beats with turn rates exceeding 200°/s.

Critical Heat Flux Mechanisms

Critical heat flux is the most important threshold in forced-flow boiling. Forced-flow CHF is equivalent to peak heat flux in pool boiling and represents the upper limit for the safe operation of many cooling systems that rely on boiling heat transfer. The occurrence of CHF can cause a large temperature rise at the heated surface, potentially leading to its physical burnout. Moreover, the post-CHF heat transfer regimes are inefficient. Depending on circumstances, CHF is also referred to as boiling crisis, departure from nucleate boiling, dryout heat flux, and burnout heat flux. Processes leading to forced-flow CHF are very complicated, involving the coupling of heat transfer, phase change, and two-phase flow hydrodynamics phenomena.

Consider the CHF line depicted in Fig. 13.1 which displays a portion of the boiling map previously shown in Figs. 12.4 and 12.5. Horizontal lines in this figure show qualitatively the sequence of heat transfer regimes encountered along a uniformly heated channel in steady state. Thus, moving along a horizontal line from left to right is similar to moving along a boiling channel. As noticed in the figure, depending on the heat flux, CHF can occur under subcooled or saturated boiling conditions. When CHF takes place in subcooled boiling or saturated boiling at low flow qualities, the process is called departure from nucleate boiling (see Section 12.1), a title that is descriptive of the mechanism involved.

Basic Processes in Condensation

Condensation is a process in which the removal of heat from a system causes a vapor to convert into liquid. Condensation plays an important role in nature, where it is a crucial component of the water cycle, and in industry. Condensation processes are numerous, taking place in a multitude of situations. In view of their diversity, a classification of condensation processes is helpful. Classification can be based on various factors, including the following:

• Mode of condensation: homogeneous, dropwise, film, or direct contact.

• Conditions of the vapor: single-component, multicomponent with all components condensable, multicomponent including noncondensable component(s), etc.

• System geometry: plane surface, external, internal, etc.

There are of course overlaps among the categories from different classification methods. Classification based on mode of condensation is probably the most useful, and modes of condensation are now described.

Homogeneous Condensation

Homogeneous condensation can happen when vapor is sufficiently cooled below its saturation temperature to induce droplet nucleation, it may be caused by mixing of two vapor streams at different temperatures, radiative cooling of vapor–noncondensable mixtures (fog formation in the atmosphere), or sudden depressurization of a vapor. In fact, cloud formation in the atmosphere is a result of adiabatic expansion of warm and humid air masses that rise and cool.

The scale effect in two-phase flow and the classification of channel sizes were discussed in Section 3.6.2. The discussions in this chapter will primarily deal with channels with hydraulic diameters in the range 10 μm ≲ DH ≲ 1mm, where the limits are understood to be approximate magnitudes. For convenience, however, channels with 10 μm ≲ DH 100 < μm will be referred to as microchannels, and channels with 100 μm ≲ DH ≲ 1mm will be referred to as minichannels. The two categories of channels will be discussed separately, furthermore, because as will be seen there are significant differences between them.

Single-phase and two-phase flows in minichannels have been of interest for decades. The occurrence of flashing two-phase flow in refrigerant restrictors formed the impetus for some of the early studies (Mikol, 1963; Marcy, 1949; Bolstad and Jordan, 1948; Hopkins, 1950). The number of investigations dealing with two-phase flow in minichannels is relatively large, but two-phase flow in microchannels is a more recent subject of interest.

Two-phase flow in mini- and microchannels comprises a dynamic and rapidly developing area. Some attributes of two-phase flow in mini- and microchannels are not fully understood, and there are inconsistencies among experimental observations, phenomenological interpretation, and theoretical models. This chapter is therefore meant to be an outline review of the current state of knowledge.

Two-Phase Flow Regimes in Minichannels

Two-phase flow regimes in minichannels under conditions where inertia is significant have been experimentally investigated rather extensively. Table 10.1 summarizes some of the published studies.

Introduction

Internal-flow condensation is encountered in refrigeration and air-conditioning systems and during some accident scenarios in nuclear reactor coolant systems. Internal-flow condensation leads to a two-phase flow with some complex flow patterns. The condensing two-phase flows have some characteristics that are different from other commonly encountered two-phase flows. Empirical correlations are available for pure vapors condensing in some simple basic geometries (e.g., horizontal circular channels). Heat transfer (condensation rate) and hydrodynamics are strongly coupled and are sensitive to the two-phase flow regime. The two-phase flow regimes themselves depend on the orientation of the flow passage with respect to gravity.

Internal–flow condenser passages are usually designed to support vertical downward flow, inclined downward flow, or horizontal flow. Configurations that can lead to unfavorable hydrodynamics (e.g., countercurrent flow limitation and loop seal effect) are avoided in these systems. As a result, most of the published experimental studies and analytical models cover vertical downflow, and horizontal flow. Condensation in unfavorable configurations can be encountered during off–normal and accident conditions of many systems, however.

Shell-side phenomena in shell-and-tube-type condensers will not be discussed in this chapter. Complex three–dimensional flow is encountered in large power plant condensers. In these condensers the condensing fluid (steam) typically flows in the shell side of the shell–and–tube-type heat exchangers, with the secondary coolant flowing inside the tubes. The shell-side flow and condensation processes have certain common features with both internal and external condensing flows. Marto (1984, 1988) has written some useful reviews of these condensers.

The Concept of Drift Flux

The drift flux model is the most widely used diffusion model for gas–liquid two-phase flow. It provides a semi-empirical methodology for modeling the gas–liquid velocity slip in one-dimensional flow, while accounting for the effects of lateral (cross-sectional) nonuniformities. In its most widely used form, the DFM needs two adjustable parameters. These parameters can be found analytically only for some idealized cases and are more often obtained empirically. These empirically adjustable parameters in the model turn out to have approximately constant values or follow simple correlations for large classes of problems, however.

Recall that the diffusion models for two-phase flow only need one set of momentum conservation equations, often representing the mixture. Knowing the velocity for one of the phases (or the mixture), one can use the model's slip velocity relation (or its equivalent) to find the other phasic velocity. When used in the cross-section-average phasic momentum equations, the DFM thus leads to the elimination of one momentum equation. The mixture momentum equation can be recast in terms of mixture center-of-mass velocity. The elimination of one momentum equation leads to a significant savings in computational cost. Also, using the DFM, some major difficulties associated with the 2FM (e.g., the interfacial transport constitutive relations, the difficulty with flow-regime-dependent parameters, and numerical difficulties) can be avoided. These advantages of course come about at the expense of precision and computed process details.

Consider a one-dimensional flow shown in Fig. 6.1. Assume all parameters are time averaged.

Introductory Remarks about Two-Phase Mixtures

The hydrodynamics of gas–liquid mixtures are often very complicated and difficult to rigorously model. A detailed discussion of two-phase flow modeling difficulties and approximation methods will be provided in Chapter 5. For now, we can note that, although the fundamental conservation principles in gas–liquid two-phase flows are the same as those governing single-phase flows, the single-phase conservation equations cannot be easily applied to two-phase situations, primarily because of the discontinuities represented by the gas–liquid interphase and the fact that the interphase is deformable. Furthermore, a wide variety of morphological configurations (flow patterns) are possible in two-phase flow. Despite these inherent complexities, useful analytical, semi-analytical, and purely empirical methods have been developed for the analysis of two-phase flows. This has been done by adapting one of the following methods.

1. Making idealizations and simplifying assumptions. For example, one might idealize a particular flow field as the mixture of equal-size gas bubbles uniformly distributed in a laminar liquid flow, with gas and liquid moving with the same velocity everywhere. Another example is the flow of liquid and gas in a channel, with the liquid forming a layer and flowing underneath an overlying gas layer (a flow pattern called stratified flow), when the liquid and gas are both laminar and their interphase is flat and smooth. It is possible to derive analytical solutions for these idealized flow situations. However, these types of models have limited ranges of applicability, and two-phase flows in practice are often far too complicated for such idealizations.

2. […]

Introductory Remarks

Gas–liquid two-phase mixtures can form a variety of morphological flow configurations. The two-phase flow regimes (flow patterns) represent the most frequently observed morphological configurations.

Flow regimes are extremely important. To get an appreciation for this, one can consider the flow regimes in single-phase flow, where laminar, transition, and turbulent are the main flow regimes. When the flow regime changes from laminar to turbulent, for example, it is as if the personality of the fluid completely changes as well, and the phenomena governing the transport processes in the fluid all change. The situation in two-phase flow is somewhat similar, only in this case there is a multitude of flow regimes. The flow regime is the most important attribute of any two-phase flow problem. The behavior of a gas–liquid mixture – including many of the constitutive relations that are needed for the solution of two-phase conservation equations – depends strongly on the flow regimes. Methods for predicting the ranges of occurrence of the major two-phase flow regimes are thus useful, and often required, for the modeling and analysis of two-phase flow systems.

Flow regimes are among the most intriguing and difficult aspects of two-phase flow and have been investigated over many decades. Current methods for predicting the flow regimes are far from perfect. The difficulty and challenge arise out of the extremely varied morphological configurations that a gas–liquid mixture can acquire, and these are affected by numerous parameters.