Draft:Scale Analysis on Phase Change Process.

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Scale Analysis on Phase Change Process

Scale analysis is a mathematical technique used to simplify complex physical phenomena by identifying the dominant terms in governing equations based on characteristic scales of the system. In the context of phase change processes such as melting, freezing, boiling, or condensation scale analysis simplifies the study of these transitions by reducing the equations of motion, heat transfer, and mass transfer to their most significant terms.

Phase Change Process

A phase change refers to the transformation of matter between different states (phases), such as solid to liquid (melting), liquid to gas (boiling or evaporation), or gas to liquid (condensation). These processes involve energy exchange, primarily in the form of latent heat, without a change in temperature during the phase transition.

The governing equations for phase change processes typically involve the Navier-Stokes equations (for fluid flow), the energy equation (heat transfer), and the mass transfer equation (for vapor or moisture). These equations can become complex, particularly near phase interfaces where nonlinear behavior occurs.

Purpose of Scale Analysis

The goal of scale analysis in the phase change process is to:

• Simplify complex governing equations by identifying dominant terms under specific conditions.

• Introduce dimensionless numbers (e.g., Reynolds number, Nusselt number, Stefan number) that control the system's behavior.

• Develop approximate analytical or numerical solutions for engineering problems such as heat exchangers, ice formation, and cooling system design.

Application of Scale Analysis in Phase Change

1. Melting and Solidification: In these problems, scale analysis can estimate the thickness of the melt layer or solidified layer over time. For example, during solidification, the energy equation is simplified by focusing on heat conduction in the solid phase, ignoring convective effects in the melt. By comparing heat conduction and phase change timescales, dimensionless parameters like the Stefan number help predict the solidification rate.
2. Boiling and Condensation: Boiling and condensation involve heat transfer at the phase interface and mass transfer through vaporization or condensation. Scale analysis helps simplify the governing equations by balancing conduction through the liquid, vapor dynamics, and latent heat exchange. The resulting correlations allow engineers to calculate heat transfer coefficients used in practical applications.
3. Evaporation: In evaporation, scale analysis is used to assess whether diffusion or convection dominates the transport of vapor away from the liquid surface. The Sherwood number quantifies the importance of these processes. For instance, diffusion dominates in slow evaporation (e.g., drying), while convection becomes significant in fast evaporation (e.g., boiling).

Governing Equations and Simplification

The governing equations for phase change processes typically include:

Conservation of mass (Continuity equation):

∂t/∂ρ​+∇⋅(ρv)=0

Conservation of momentum (Navier-Stokes equation):

ρ(∂t/∂v​+(v⋅∇)v)=−∇p+μ∇^2.v+ρg

Conservation of energy (Energy equation):

  ρcp​(∂t/∂T​+v⋅∇T)=k∇2T+Q

Phase interface conditions:

These describe the mass and energy balance at the phase boundary, such as the Stefan condition, accounting for latent heat.

Scale analysis helps simplify these equations by making appropriate assumptions. For example, in a thin layer of liquid near a solidifying front, velocity terms in the momentum equation may be neglected, allowing for a focus on conduction terms in the energy equation. This produces an approximate solution that is manageable for practical use.

Dimensionless Numbers in Scale Analysis

Key dimensionless numbers emerge from scale analysis, providing a framework for understanding different phase change regimes:

Stefan number (Ste): Represents the ratio of sensible heat to latent heat in a phase change.

Ste=cp.​ΔT/L​

  where cp is the specific heat capacity, ΔT is the temperature difference, and L is the latent heat.

Nusselt number (Nu): Describes the ratio of convective to conductive heat transfer.

Nu=hL​/k

  where h is the heat transfer coefficient, L is a characteristic length, and k is the thermal conductivity.

Sherwood number (Sh): Analogous to the Nusselt number, but for mass transfer.

Reynolds number (Re): Represents the ratio of inertial forces to viscous forces in fluid flow.

These dimensionless numbers allow engineers and scientists to categorize and predict the behavior of phase change processes in various conditions.

Conclusion

Scale analysis is a valuable tool for simplifying and understanding complex phase change processes. By identifying the dominant terms in governing equations and using dimensionless numbers, it helps to develop practical solutions for engineering challenges like heat exchangers, refrigeration, and materials processing.

References

1. Transport Phenomena by R. Byron Bird, Warren E. Stewart, and Edwin N. Lightfoot

2. Fundamentals of Heat and Mass Transfer by Frank P. Incropera and David P. DeWitt

3. Convective Heat and Mass Transfer by William M. Kays, Michael E. Crawford, and Bernhard Weigand

4. Phase Change Heat Transfer: Thermal Engineering of Phase Change Material by Peter Stephan

5. Heat Transfer by J.P. Holman  

Article Prepared By:

• Harshita Mandava (Roll No. 21135078), IIT BHU (Varanasi)
• Badavath Kiran (Roll No. 21135041), IIT BHU (Varanasi)
• Bhukya Ganesh (Roll No. 21135043), IIT BHU (Varanasi)
• Khatroth Ram Prathab (Roll No. 21134013), IIT BHU (Varanasi)
• Jummidi Aravind (Roll No. 21135066), IIT BHU (Varanasi)