Non Equilibrium Thermodynamics

Topic: Physics \ Thermodynamics \ Non-equilibrium Thermodynamics

Non-equilibrium thermodynamics is a specialized branch of thermodynamics that extends the principles of classical thermodynamics to systems that are not in thermodynamic equilibrium. Unlike equilibrium thermodynamics, which deals with systems in a state of balance where macroscopic properties do not change with time, non-equilibrium thermodynamics addresses the time-dependent processes that occur when a system is displaced from equilibrium. This field is significant in both theoretical and applied physics, providing insights into a wide array of phenomena occurring in natural and engineered systems.

Core Concepts

  1. Irreversible Processes:
    Non-equilibrium thermodynamics primarily focuses on irreversible processes, where the system undergoes changes in state variables such as temperature, pressure, or chemical composition. In these processes, entropy increases according to the second law of thermodynamics, which can be represented as:
    \[
    \Delta S \geq 0
    \]
    where \( S \) is the entropy of the system.

  2. Transport Phenomena:
    The study of non-equilibrium thermodynamics involves analyzing transport phenomena like heat conduction, mass diffusion, and viscous flow. These are described by partial differential equations that account for the spatial and temporal variations of physical quantities.

  3. Fluxes and Forces:
    In non-equilibrium thermodynamics, fluxes (such as heat flux, \( \mathbf{J}_q \)) and thermodynamic forces (such as temperature gradient, \( \nabla T \)) are essential concepts. The relationship between fluxes and forces can often be described by linear phenomenological laws, such as Fourier’s law of heat conduction:
    \[
    \mathbf{J}_q = -k \nabla T
    \]
    where \( k \) is the thermal conductivity.

  4. Entropy Production:
    A critical aspect of non-equilibrium thermodynamics is the rate of entropy production. The local rate of entropy production per unit volume, \( \sigma \), can be expressed as:
    \[
    \sigma = \mathbf{J}_q \cdot \nabla \left( \frac{1}{T} \right)
    \]
    where \( T \) is the temperature. This relationship emphasizes that entropy production is a measure of dissipative processes driving the system away from equilibrium.

Applications

Non-equilibrium thermodynamics finds applications in a variety of scientific and engineering fields:

  • Biological Systems: It helps in understanding metabolic processes and the transport of nutrients and waste products in cells.
  • Chemical Engineering: It aids in the design and analysis of reactors and separation processes where chemical reactions and mass transfer take place.
  • Climate Science: It provides models to understand energy transfer processes in the atmosphere and oceans.
  • Materials Science: It is used in studying the mechanical properties of materials under stress and the diffusion of atoms in solids.

Mathematical Framework

The mathematical treatment of non-equilibrium systems involves differential equations derived from conservation laws (mass, momentum, energy) and phenomenological relations. For example, the continuity equation for mass conservation in a fluid flow can be written as:
\[
\frac{\partial \rho}{\partial t} + \nabla \cdot (\rho \mathbf{v}) = 0
\]
where \( \rho \) is the density and \( \mathbf{v} \) is the velocity field.

Furthermore, the Navier-Stokes equation, which governs fluid dynamics, incorporates non-equilibrium effects through viscous terms:
\[
\rho \left( \frac{\partial \mathbf{v}}{\partial t} + \mathbf{v} \cdot \nabla \mathbf{v} \right) = -\nabla p + \eta \nabla^2 \mathbf{v}
\]
where \( p \) is the pressure and \( \eta \) is the dynamic viscosity.

Conclusion

Non-equilibrium thermodynamics expands our understanding of thermodynamic processes far beyond the limitations of equilibrium states. By incorporating concepts such as irreversible processes, transport phenomena, and entropy production, it provides a robust framework for analyzing and predicting the behavior of complex systems. The field’s mathematical rigor and wide applications make it indispensable in advancing both fundamental science and engineering practice.