h2. Last time h3. Equations Flow field Rate of production Accumulation Conserved quantity, internal energy Nonconserved quantity, entropy A flow field is a vector field h3. Discussion Accumulation was demonstrated graphically in Mathematica animation in the previous lecture Accumulation is the negative of the divergence of the flux plus the creation or destruction of material Consider the accumulation of internal energy, a conserved quantity. It is equal to the negative of the divergence of internal energy. Entropy change is due to net flux, and there is a production term. h2. Preview The book Kinetics of Materials is divided into five parts Half of this class is devoted to diffusion Study how fast composition readjusts itself Continuity equation and Fick's second law Most things interested in are not in equilibrium Predict how properties and performance change over time Use concepts from thermodynamics to ascribe values, thermodynamic potentials to system From distribution of thermodynamic potential determine rate to equilibrium Diffusive flux is equal to a constant times the gradient of the chemical potential The chemical potential is a function of local composition Solve Fick's second law Irreversible thermodynamics is about ascribing thermodynamic values to nonuniform systems. Fundamental basis provided today The field of irreversible thermodynamics is not on as rigorous footing as thermodynamics Chapter 2 is highlighted today The first part of the book provides an idea of where diffusion equations comes from The remaining part of the class is about how microstructure evolves in the absense of phase transformation h2. Diffusion Diffusion is the motion of species, components, or matter. Fluid transportation involves the diffusion of momentum Differential equations are used in a macroscopic description Mechanisms are described at a microscopic level The details of atomistic mechanisms is used to understand the macroscopic details Mechanisms influence the proportionality constant h2. Fick's 1st and 2nd Laws The first law involves diffusive flux, which is proportional to gradient of concentration The details of this description came originally from empirical observation. Imagine setting up gradients, measuring, and making plots. The plot is essentially linear. How could that relationship come about h2. Entropy and Entropy Production Entropy production is key in irreversible thermodynamics Divide a system into small volume elements Imagine that we can monitor local values of thermodynamic quantities There need not be the same values of local quantities There can be flux between volume elements A basic postulate of irreversible thermodynamics is that entropy production is always positive at each point in a system An isolated system at fixed energy evolves to highest entropy In every small volume element, entropy is increasing (note is equations that uppercase letters indicate total amount) U: internal energy u: energy per unit volume TdS = du + dw + sum(mu dc) There are many contributions of work to dw, such as pdV work, interfacial energy, stress fields \- Psi d zeta = dw + sum(mu dc) Pressure, p, is a thermodynamic potential and dV is related to an extensive quantity Consider sigma d epsilon. A terms consist of something acting as a potential and a differential of an extensive quantity Consider Equation 2.6 in Kinetics of Materials. Use the continuity equations and the first law to derive an expression that relates entropy production to local fluxes at a point in a system. Consider Equation 2.15 in Kinetics of Materials Entropy production rate is related to the flux of heat. Units are in terms of energy density per time Determine how fast the energy density is changing. Energy density change is termed dissipation Units of energy density dissipation is J m \-3 s-1 There is an unstated assumption that temperature does not vary with time Nonuniform may refer to variations in space while not constant refers to changes in time Imagine a system with spatial variations of temperature Consider heat transfer and maintaining temperature. Find temperature at any point. The system is not in equilibrium but is changing with time. There is heat constantly added to one end and extracted to maintain a temperature gradient. Terms on the right involve fluxes dotted with a gradient T sigma dot = - JQ / T grad T - sum J grad Psi Flux of chemical component, heat, etc. involves a pairing of fluxes and forces. There are gradients of some potential There is a postulate that entropy production is positive h3. Entropy Production in Heat Flow h4. Fourier's law relates heat flux JQ = - K grad T K is thermal conductivity If heat is the only thing that is flowing, the entropy production is minus the heat flux dotted with grad T / T sigma dot = - JQ grad T / T sigma dot = K (grad T) \^2 / T The entropy production is postulated to be greater than zero, which means that the thermal conductivity is greater than zero K > 0 A positive thermal conductivity means that heat flows from a positive body to a negative body. h4. Fick's Law J = M c grad mu when sigma dot is greater than zero, the mobility is always positive The diffusion coefficient in traditional form of Fick's law D is either positive or negative There is a relationship between flux and chemical potential Must apply to sum of components or each individual component h2. Linear Irreversible Thermodynamics Systems create entropy locally due to fluxes of many things Predict what fluxes are and define kinetic models There is a relationship between fluxes and driving forces especially with multiple driving forces (applied simultaneously), most generally flux of heat (q), charge (q), components (i) JQ = JQ (FQ, Fq, Fi) Look at systems not far from equilibrium Fi: components carry energy Fq: electronic contribution to heat flow{latex} Despite the ubiquitous application of the biotin-streptavidin complex in biotechnology and biophysics as a molecular ``glue'' capable of strong, specific interactions and long binding lifetime, there is considerable disagreement among experiments regarding the actual strength of this complex P-selectin glycoprotein ligand 1 or an antibody, Marshall showed this equivalence to be false. When the data were reanalyzed with the assumption that was a functional of the loading history rather than of the instantaneous applied force, the authors showed that predictions from the two types of experiments agree i They reveal atomic-level detail of mechanisms and pathways not accessible experimentally. Further, simulations enable predictive capabilities and testing of mechanistic hypotheses much... \\ |