Dimensionless numbers are crucial tools in mass transfer analysis. They help simplify complex problems, compare different systems, and identify dominant mechanisms. By understanding these numbers, engineers can better predict and optimize mass transfer processes across various applications.

These numbers, like the Sherwood and Schmidt numbers, relate different physical properties and phenomena. They allow for scaling, generalization of data, and identification of rate-limiting steps in mass transfer processes. This knowledge is essential for designing efficient systems.

Dimensionless Numbers in Mass Transfer

Key Dimensionless Numbers and Their Interpretations

  • The (Sh) represents the ratio of convective mass transfer to diffusive mass transport
    • Analogous to the in heat transfer
    • Quantifies the relative importance of convective and diffusive mass transfer mechanisms (high Sh indicates convection-dominated transfer)
    • Defined as: Sh=hLDSh = \frac{hL}{D}, where hh is the convective mass transfer coefficient, LL is a characteristic length, and DD is the mass diffusivity
  • The (Sc) represents the ratio of momentum diffusivity (kinematic viscosity) to mass diffusivity
    • Characterizes the relative thickness of the hydrodynamic and concentration boundary layers
    • Relates the viscous and mass diffusion rates in a fluid (high Sc indicates a thinner concentration boundary layer relative to the velocity boundary layer)
    • Defined as: Sc=νDSc = \frac{\nu}{D}, where ν\nu is the kinematic viscosity and DD is the mass diffusivity
  • The for mass transfer (Pe) represents the ratio of advective transport rate to diffusive transport rate
    • Indicates the relative importance of advective and diffusive mass transport mechanisms (high Pe implies advection-dominated transfer)
    • Defined as: Pe=uLDPe = \frac{uL}{D}, where uu is the fluid velocity, LL is a characteristic length, and DD is the mass diffusivity
  • The for mass transfer (St) represents the ratio of the mass transfer coefficient to the product of fluid velocity and density
    • Characterizes the ratio of the actual mass transfer rate to the maximum possible mass transfer rate
    • Quantifies the efficiency of mass transfer in a fluid flow (high St indicates efficient mass transfer)
    • Defined as: St=hρuSt = \frac{h}{\rho u}, where hh is the convective mass transfer coefficient, ρ\rho is the fluid density, and uu is the fluid velocity
  • The (Le) represents the ratio of thermal diffusivity to mass diffusivity
    • Characterizes the relative rates of heat and mass transfer in a fluid
    • Relates the thickness of the thermal and concentration boundary layers (Le > 1 implies a thinner concentration boundary layer relative to the thermal boundary layer)
    • Defined as: Le=αDLe = \frac{\alpha}{D}, where α\alpha is the thermal diffusivity and DD is the mass diffusivity

Dimensionless Number Relationships and Analogies

  • Dimensionless numbers can be combined to form other dimensionless groups
    • The Péclet number is the product of the (Re) and the Schmidt number: Pe=ReScPe = Re \cdot Sc
    • The Sherwood number can be expressed as a function of the Reynolds and Schmidt numbers: Sh=f(Re,Sc)Sh = f(Re, Sc)
  • Analogies between heat and mass transfer can be established using dimensionless numbers
    • The relates the Stanton numbers for heat and mass transfer: Sth=Stm(Pr/Sc)2/3St_h = St_m \cdot (Pr/Sc)^{2/3}, where PrPr is the Prandtl number
    • The heat and mass transfer coefficients can be estimated using the Nusselt and Sherwood numbers: Nu=hLkNu = \frac{hL}{k} and Sh=hmLDSh = \frac{h_mL}{D}, where kk is the thermal conductivity and hmh_m is the mass transfer coefficient

Applying Dimensionless Numbers to Mass Transfer

Characterizing Mass Transfer Mechanisms

  • Dimensionless numbers help identify the dominant mass transfer mechanisms in a given problem
    • High Sherwood numbers (Sh >> 1) indicate convection-dominated mass transfer, while low Sh suggests diffusion-dominated transfer
    • High Péclet numbers (Pe >> 1) imply advection-dominated mass transport, while low Pe indicates diffusion-dominated transport
    • The Schmidt number (Sc) characterizes the relative thickness of the velocity and concentration boundary layers, influencing the mass transfer rate
  • Example: In a laminar flow over a flat plate, the Sherwood number can be expressed as a function of the Reynolds and Schmidt numbers: Sh=0.664Re1/2Sc1/3Sh = 0.664 Re^{1/2} Sc^{1/3}
    • This correlation helps determine the relative importance of convective and diffusive mass transfer based on the flow conditions (Re) and fluid properties (Sc)

Estimating Mass Transfer Coefficients

  • Dimensionless number correlations can be used to estimate mass transfer coefficients in various geometries and flow conditions
    • Empirical correlations relate the Sherwood number to the Reynolds and Schmidt numbers for different geometries (e.g., flat plates, cylinders, spheres)
    • These correlations are typically of the form: Sh=aRebSccSh = a Re^b Sc^c, where aa, bb, and cc are constants that depend on the geometry and flow regime
  • Example: For forced convection mass transfer over a sphere, the Frössling correlation can be used: Sh=2+0.552Re1/2Sc1/3Sh = 2 + 0.552 Re^{1/2} Sc^{1/3}
    • This correlation allows the estimation of the mass transfer coefficient for a sphere in a flowing fluid, given the fluid properties (Re, Sc) and the sphere diameter

Simplifying Governing Equations

  • Dimensionless numbers can be used to simplify the governing equations for mass transfer problems
    • By introducing dimensionless variables based on the relevant dimensionless numbers, the number of variables and parameters in the equations can be reduced
    • The simplified dimensionless equations are easier to solve and provide insights into the fundamental behavior of the system
  • Example: The convection-diffusion equation for mass transfer can be non-dimensionalized using the Péclet number:
    • Original equation: Ct+uCx=D2Cx2\frac{\partial C}{\partial t} + u \frac{\partial C}{\partial x} = D \frac{\partial^2 C}{\partial x^2}
    • Non-dimensionalized equation: Ct+Cx=1Pe2Cx2\frac{\partial C^*}{\partial t^*} + \frac{\partial C^*}{\partial x^*} = \frac{1}{Pe} \frac{\partial^2 C^*}{\partial x^{*2}}, where CC^*, tt^*, and xx^* are dimensionless concentration, time, and position, respectively

Significance of Dimensionless Numbers for Mass Transfer Data

Generalizing Mass Transfer Data

  • Dimensionless numbers allow for the generalization of mass transfer data obtained from experiments or simulations
    • By expressing the data in terms of dimensionless numbers, it becomes applicable to a wide range of systems with similar dimensionless parameters
    • This generalization enables the comparison and analysis of mass transfer processes across different scales and geometries
  • Example: The Sherwood number can be used to generalize mass transfer data for different fluids and geometries
    • Experimental data for mass transfer in a specific fluid and geometry can be expressed as a Sherwood number correlation: Sh=f(Re,Sc)Sh = f(Re, Sc)
    • This correlation can then be applied to predict mass transfer coefficients in other systems with similar Re and Sc values, even if the fluid and geometry are different

Scaling Up Mass Transfer Processes

  • Dimensionless correlations can be used to scale up mass transfer processes from laboratory to industrial scales
    • By ensuring that the key dimensionless parameters (e.g., Re, Sc, Sh) remain constant during the scale-up process, the mass transfer performance can be maintained
    • This approach allows for the design and optimization of industrial-scale mass transfer equipment based on laboratory-scale experiments or simulations
  • Example: In the design of a packed bed reactor for a gas-liquid mass transfer process, the Sherwood number correlation obtained from laboratory experiments can be used to determine the required packing size and fluid flow rates for the industrial-scale reactor
    • The Sherwood number correlation, Sh=f(Re,Sc)Sh = f(Re, Sc), is used to calculate the mass transfer coefficient for the industrial-scale reactor
    • The reactor dimensions and operating conditions are then adjusted to maintain the same Re and Sc values as in the laboratory experiments, ensuring similar mass transfer performance

Identifying Rate-Limiting Steps

  • The analysis of dimensionless numbers in mass transfer problems can provide insights into the underlying physical mechanisms and help identify the rate-limiting steps
    • By comparing the values of different dimensionless numbers, the relative importance of various mass transfer mechanisms can be assessed
    • This analysis helps in identifying the factors that control the overall mass transfer rate and guides the optimization of the process
  • Example: In a gas-liquid mass transfer process, the Sherwood number (Sh) and the Péclet number (Pe) can be compared to determine the rate-limiting step
    • If Sh >> Pe, the mass transfer is likely limited by the diffusion through the liquid-side boundary layer, and efforts should focus on increasing the liquid-side mass transfer coefficient
    • If Pe >> Sh, the mass transfer is likely limited by the convective transport in the bulk fluid, and efforts should focus on increasing the fluid mixing or velocity to enhance convective mass transfer

Key Terms to Review (19)

Boundary layer theory: Boundary layer theory describes the behavior of fluid flow near a solid surface, where the effects of viscosity are significant. It highlights the transition from a region of no flow (the solid surface) to the free stream flow of the fluid, demonstrating how velocity changes as you move away from the surface. This concept is essential in understanding mass transfer processes, as it helps explain how concentration gradients form near surfaces and how they affect diffusion and convective mass transfer.
Chilton-Colburn Analogy: The Chilton-Colburn analogy is a theoretical framework used to relate heat transfer and mass transfer phenomena by equating the dimensionless numbers that characterize each process. This analogy allows engineers to estimate mass transfer coefficients from known heat transfer coefficients, making it a useful tool in analyzing systems involving simultaneous heat and mass transfer.
Correlation equations: Correlation equations are mathematical expressions that relate dimensionless numbers in mass transfer to one another, allowing for the prediction of mass transfer rates under different conditions. These equations are crucial for understanding how various factors, such as fluid properties and flow conditions, influence the efficiency of mass transfer processes. By using correlation equations, engineers can simplify complex transport phenomena into manageable models that can be used in design and analysis.
Dimensionless Analysis: Dimensionless analysis is a method used in engineering and physics to simplify complex physical phenomena by reducing the number of variables in a system to a set of dimensionless numbers. These numbers help describe the relationships between different physical quantities, making it easier to analyze, compare, and predict the behavior of similar systems under varying conditions.
Heisler Charts: Heisler charts are graphical tools used to solve heat transfer problems involving transient conduction, allowing engineers to quickly determine temperature distributions in solid objects over time. These charts relate dimensionless numbers, specifically the Fourier number and Biot number, to the transient behavior of heat conduction in various geometries. They simplify the process of solving complex differential equations by providing a visual representation of temperature profiles, making them an essential resource in heat transfer analysis.
Laminar vs Turbulent Flow: Laminar flow refers to a smooth and orderly fluid motion where layers of fluid slide past each other without mixing, while turbulent flow is characterized by chaotic and irregular movement, resulting in mixing and eddies. Understanding these two flow types is essential as they influence heat and mass transfer processes, particularly through dimensionless numbers such as the Reynolds number, which helps determine the flow regime in various applications.
Le = α/d: The equation $$l_e = \frac{\alpha}{d}$$ defines the characteristic length scale of mass transfer in relation to diffusion, where $$l_e$$ represents the effective length, $$\alpha$$ is the diffusion coefficient, and $$d$$ is a characteristic dimension such as thickness. This term helps to characterize how quickly a substance can diffuse through a medium based on its physical properties and dimensions. Understanding this relationship is crucial when analyzing mass transfer phenomena and optimizing processes in various engineering applications.
Lewis Number: The Lewis number (Le) is a dimensionless number that characterizes the relative rates of thermal diffusion and mass diffusion in a fluid. It is defined as the ratio of thermal diffusivity to mass diffusivity, given by the equation $$Le = \frac{\alpha}{D}$$, where $$\alpha$$ is the thermal diffusivity and $$D$$ is the mass diffusivity. This number is significant because it helps in understanding heat and mass transfer processes, particularly in cases where both mechanisms are occurring simultaneously.
Nusselt Number: The Nusselt number is a dimensionless quantity used in heat transfer that represents the ratio of convective to conductive heat transfer across a boundary. It helps to characterize the efficiency of convective heat transfer in fluid flows, making it essential for understanding processes involving both heat and mass transfer.
Pe = ul/d: The equation pe = ul/d represents the dimensionless Peclet number, which is a crucial parameter in mass transfer processes. This number compares the rate of advection of a species by the flow to the rate of diffusion of that species, highlighting the relative importance of these two transport mechanisms. Understanding the Peclet number helps in predicting mass transfer rates and designing efficient systems for various applications.
Péclet Number: The Péclet number is a dimensionless number that represents the ratio of advective transport rate to diffusive transport rate in mass transfer processes. It helps in understanding the relative importance of convection versus diffusion in the movement of mass, where a high Péclet number indicates that advection dominates, while a low value suggests diffusion is more significant. This number is crucial for analyzing how substances mix or move in various engineering applications, such as chemical reactors or environmental systems.
Process design: Process design is the methodology used to create and organize processes to efficiently achieve a specific set of goals or outcomes. It encompasses the planning, development, and optimization of processes to ensure they function effectively, considering factors like energy efficiency, material usage, and overall performance in mass transfer applications.
Reynolds Number: Reynolds number is a dimensionless quantity that helps predict flow patterns in different fluid flow situations by comparing inertial forces to viscous forces. It is a critical factor in determining whether the flow is laminar or turbulent, influencing heat and mass transfer rates in various contexts.
Scaling Laws: Scaling laws are mathematical relationships that describe how physical quantities change as a system's size or scale changes. These laws allow for the prediction of system behavior in mass transfer phenomena by using dimensionless numbers, which help compare different systems and identify key processes without being influenced by the absolute size of the systems involved.
Schmidt Number: The Schmidt number, denoted as $$Sc$$, is a dimensionless number defined by the equation $$Sc = \frac{\nu}{d}$$, where $$\nu$$ is the kinematic viscosity of a fluid and $$d$$ is the mass diffusivity. This term helps in understanding the relationship between momentum transfer and mass transfer in fluid dynamics. It serves as an important parameter in mass transfer operations, indicating whether the flow is more influenced by diffusion or convection.
Sh = hl/d: The equation $$sh = \frac{hl}{d}$$ is used to express the mass transfer coefficient, where 'sh' represents the Sherwood number, 'hl' is the characteristic length of the mass transfer process, and 'd' denotes the diffusivity of the species. This relationship helps to identify how effectively mass transfer occurs in a system by relating dimensionless numbers to physical properties. Understanding this equation is essential for analyzing the efficiency of various mass transfer processes in different engineering applications.
Sherwood Number: The Sherwood number is a dimensionless quantity used in mass transfer operations that characterizes the relative importance of convective mass transfer to diffusive mass transfer. It is essential in understanding how effectively mass is transferred between phases, particularly in processes involving fluids, and it relates to mass transfer coefficients, boundary layer behavior, and the comparison of mass and heat transfer phenomena.
St = h/ρu: The term st = h/ρu represents the Sherwood number, a dimensionless number used in mass transfer operations. It signifies the ratio of convective mass transfer to diffusive mass transport, where 'h' is the mass transfer coefficient, 'ρ' is the fluid density, and 'u' is the characteristic velocity. This relationship highlights how different forces influence the rate of mass transfer in various fluid systems.
Stanton Number: The Stanton Number (St) is a dimensionless number that measures the ratio of heat or mass transfer to the thermal capacity of the fluid. It helps characterize the efficiency of heat or mass transfer processes in various systems, such as convection and diffusion, and is particularly useful in comparing different regimes of flow and transport phenomena.
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