Chapter 14: Problem 137
A 2-in-diameter spherical naphthalene ball is suspended in a room at \(1 \mathrm{~atm}\) and \(80^{\circ} \mathrm{F}\). Determine the average mass transfer coefficient between the naphthalene and the air if air is forced to flow over naphthalene with a free stream velocity of \(15 \mathrm{ft} / \mathrm{s}\). The Schmidt number of naphthalene in air at room temperature is \(2.35\). Answer: \(0.0524 \mathrm{ft} / \mathrm{s}\)
Short Answer
Step by step solution
Calculate the Reynolds number (Re)
Calculate the mass transfer coefficient (k) using the Sherwood number (Sh) and Reynolds number (Re) correlation
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Reynolds Number
For a sphere in a fluid, the Reynolds number is given by the formula \(Re = \dfrac{VD}{u}\), where \(V\) is the velocity of the fluid, \(D\) is the diameter of the sphere, and \(u\) represents the kinematic viscosity of the fluid.
Sherwood Number
The Sherwood number is related to both the Reynolds number and the Schmidt number and is often represented in correlations that allow the calculation of the mass transfer coefficient, as seen in our exercise with the formula \(Sh = 0.0296Re^{0.8}Sc^{0.33}\).
Schmidt Number
Dimensionless Quantities in Heat and Mass Transfer
Understanding the interplay between these dimensionless numbers can provide insights into the transport mechanisms involved and allow for the development of correlations to calculate variables such as the mass transfer coefficient. In this way, we can generalize findings and apply them to a variety of systems under similar dimensionless conditions.
Diffusion Coefficient Calculation
In the exercise, we calculated the diffusion coefficient for naphthalene in air using the established relationship between the kinematic viscosity and the Schmidt number: \(D = \dfrac{u}{Sc}\). The diffusion coefficient found was instrumental in determining the final mass transfer coefficient. This kind of calculation is vital for designing and modeling systems where diffusion plays a significant role, such as in chemical reactors or environmental engineering scenarios.