dN ---------- (2)
is the chemical potential.
) is defined as mass per unit volume.
) of a thermodynamic system is the change in the energy of the system when a different kind of constituent particle is introduced, with the entropy and volume held fixed. ![]() |
processes (such as in microfluid, chemical reactions, molecular folding, cell membranes, and cosmic expansion) operate far from equilibrium, where the standard theory of thermodynamics does not apply. Figure 01a shows the cases for different kinds of thermodynamic theory. Case 1 is for over all equilibrium in the system, which is described by classical thermodynamics. Case 2 has local equilibrium in different regions. A theory of nonequilibrium thermodynamics (using the concept of flow or flux) has been developed for such situation. In case 3 the molecules become a chaotic jumble such that the concept of |
Figure 01a Thermodynamics Theory [view large image] |
temperature is not applicable anymore. A new theory has been formulated by using a new set of variables within the very short timescale for the transformation. The second law of thermodynamics has been shown to be valid for all these cases. |
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It is impossible to obtain a process such that the unique effect is the subtraction of a positive heat from a reservoir and the production of a positive work. or A system operating in a cycle cannot produce a positive heat flow from a colder body to a hotter body. The first statement is to exclude the un-realistic situations such as to drive a steamship across the ocean by extracting heat from the water, or to run a power plant by extracting heat from the surrounding air. The second statement expresses the impossibility of running refrigeration without work. Another form of the 2nd law states: |
Figure 01b Entropy, Addition [view large image] |
The entropy of an isolated system tends to remain constant or to increase. It is in this form that the arrow of time is defined. Figure 01b shows the various ways entropy can be added to a system. |
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within a gas of temperature, T2, will flow in time, t, toward a gas of temperature, T1, where T2 > T1 and T = T2 - T1, thus the system's total energy E is constant (via the first law of thermodynamics), while its free energy F decreases, and its entropy S rises (via the second law of thermodynamics), until finally T 0 at equilibrium.
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Figure 02 Isolated System [view large image] |
Some literatures refer the isolated system as closed system, while the other systems are lumped together as open system. |
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operates with only heat and work passing across its boundaries. As work is done on the gas inside the chamber, the temperature and pressure increase and some heat will be transferred out of the system. When heat is transferred to the system, the gas expands, it does work on the surroundings and the temperature and pressure decrease. |
Figure 03 Closed System |
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still increase according to the second of thermo- dynamics. The ocean would be an example of an open system. Another good example would be the photosynthesis in plants as shown in Figure 05. Infusion of energy and exchange of matter are taking place inside the chloroplast resulting in the production of glucose, which is in a higher energy level. The system becomes nonequilibrium and will decay to the more stable form in the long run. |
Figure 04 Open System [view large image] |
Figure 05 Photosynthesis |
) have a specific value corresponding to that state. The values of these properties are a function of the state of the system. The number of properties that must be specified to describe the state of a given system (the number of degree of freedom) is given by Gibbs phase rule: ![]() |
is one of the simplest equations of state. Although reasonably accurate for gases at low pressures and high temperatures, it becomes increasingly inaccurate away from these ideal conditions. The ideal gas law can be derived by assuming that a gas is composed of a large number of small molecules, with no attractive or repulsive forces. In reality gas molecules do interact with attractive and repulsive forces. In fact it is these forces that result in the formation of liquids. By taking into accounts the attraction between molecules and their finite size (total volume of the gas is represented by the red square in Figure 06), a more realistic equation for the real gases known as van der Waals equation was derived way back in 1873: |
Figure 06 Gas Law [view large image] |

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The most efficient heat engine cycle is the Carnot cycle, consisting of two isothermal processes and two adiabatic processes (see Figure 08). The Carnot cycle can be thought of as the most efficient heat engine cycle allowed by physical laws. When the second law of thermodynamics states that not all the supplied heat in a heat engine can be used to do work, the Carnot efficiency sets the limiting value on the fraction of the heat which can be so used. In order to approach the Carnot efficiency, the processes involved in the heat engine cycle |
Figure 07 Heat Engine [view large image] |
Figure 08 Carnot Engine Cycle |
must be reversible and involve no change in entropy. This means that the Carnot cycle is an idealization, since no real engine processes are reversible and all real physical processes involve some increase in entropy. |
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The p-V diagrams for the more realistic cases are shown in Figure 09, 10, and 11 for the gasoline, diesel, and steam engines respectively. While the gasoline and diesel engines operate at about 50% efficiency, the steam engine runs at only about 30%. A brief description of the processes can be found in each of the diagram. |
Figure 09 Gasoline Engine [view large image] |
Figure 10 Diesel Engine [view large image] |
Figure 11 Steam Engine [view large image] |
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---------- (7) |
is defined by:
(xi, t) =
f (xi,vi,t) d3vi
f (xi,vi,t) vi d3vi) / 
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Analytical solutions of the Boltzmann equation are possible only under very restrictive assumptions. Direct numerical methods for computer simulation have been limited by the complexity of the equation, which in the complete 3-D time-dependent form requires seven independent variables for time, space and velocity. A 2-dimensional animation of a flow process is presented by clicking Figure 12. It shows the development of a clump of gas molecules initially released from the left. The particles flow to the right, reflected by the wall at the other end, then established an equilibrium configuration after some 4000 collisions between the particles. |
Figure 12 Boltzmann Equation Simulation [view animation] |
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---------- (8) |
is the relaxation time - a characteristic decay constant for returning to the equilibrium state, and f0 is the equilibrium distribution. The solution for this equation is:
+ f0 ( 1 - e-t/
) ---------- (9)
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---------- (10) |
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---------- (11) |
, where a and b denote two different quantum states. They cannot be the same, because the wave function and hence the probability of such occurrence becomes zero. On the other hand the two bosons wave function is symmetric, e.g.,
; the wave function does not vanish when a = b. Thus the bosons can occupy the same states. Figure 13 shows the formula and graph for each distribution, where A = e
is a normalization constant. The classical and Bose-Einstein distribution are similar except when kT >> E. Near absolute zero
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temperature, most of the bosons occupy the same state with E ~ 0. This is the Bose-Einstein condensate first discovered in 1995. Another example of Bose-Einstein distribution is the black-body radiation. In Fermi-Dirac distribution, the normalization constant A can be re-defined as A = e-Ef, where Ef is known as the Fermi energy, which has a value of a few ev for the electron gas in many metals. Note that f (E) = 1/2 at E = Ef for all temperatures. At low temperature most of the low energy states with E < Ef are filled. At high temperature with kT >> (E - Ef), the distribution function |
Figure 13 Distribution Functions |
becomes f (E) ~ (1/2) (1 - (E - Ef) / 2kT). Thus in this case, the energy states with E < Ef are more than half-filler; while for E > Ef they are less than half-filled. |
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In classical statistic, the velocity distribution of the ideal gas is given by the Maxwell distribution as shown in Figure 14. A relationship between the root-mean-square velocity vrms and the temperature T can be derived from such distribution function: m vrms2 = 3 k T or M vrms2 = 3 R T ---------- (12) where m denotes the mass of the molecule, M = mN0 is the molecular weight/mole, N0 is the Avogadro's number, and k = R / N0 = 1.38x10-16 erg/Ko is the Boltzmann constant . |
Figure 14 Maxwell Distribution [view large image] |
The formula in Eq.(12) provides a link between the microscopic root-mean-square velocity vrms of the particles and the macroscopic property T. |
= h/p is defined for a single particle with momentum p = mv (h is the Planck constant). It has been generalized to an aggregate of gas particles in an ideal gas at specified temperature T. The "Thermal de Broglie wavelength" is derived by substituting Eq.(12) to the de Broglie wavelength (with v = vrms), which yields:
= h / (3mkT)1/2 ---------- (13)![]() |
The mean free path (Figure 15) can be expressed mathematically as: l = 1 / nA = (l1 + l2 + l3 + ... + lN) / N---------- (14) where n is the number density, A is the collision cross section, li is the path length between collisions, i.e., length of the free path, and N is the total number of collisions. The concept of mean free path may be visualized by thinking of a man shooting a rifle aimlessly into a forest. Most of the bullets will hit trees, but some bullets will travel much farther than others. The |
Figure 15 Mean Free Path [view large image] |
average distance traveled by the bullets will depend inversely on both the denseness of the woods and the size of the trees. |