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As part of a design calculation, you must evaluate an enthalpy change for an obscure organic vapor that is to be cooled from \(1800^{\circ} \mathrm{C}\) to \(150^{\circ} \mathrm{C}\) in a heat exchanger. You search through all the standard references for tabulated enthalpy or heat capacity data for the vapor but have no luck at all, until you finally stumble on an article in the May 1922 Antarctican Journal of Obscure Organic Vapors that contains a plot of \(C_{p}\left[\operatorname{cal} /\left(\mathrm{g} \cdot^{\cdot} \mathrm{C}\right)\right]\) on a logarithmic scale versus \(\left[T\left(^{\circ} \mathrm{C}\right)\right]^{1 / 2}\) on a linear scale. The plot is a straight line through the points \(\left(C_{p}=0.329, T^{1 / 2}=7.1\right)\) and \(\left(C_{p}=0.533, T^{1 / 2}=17.3\right)\) (a) Derive an equation for \(C_{p}\) as a function of \(T.\) (b) Suppose the relationship of Part (a) turns out to be $$ C_{p}=0.235 \exp \left[0.0473 T^{1 / 2}\right] $$ and that you wish to evaluate $$ \Delta \hat{H}(\mathrm{cal} / \mathrm{g})=\int_{1800 \mathrm{c}}^{150^{\circ} \mathrm{C}} C_{p} d T $$ First perform the integration analytically, using a table of integrals if necessary; then write a spreadsheet or computer program to do it using Simpson's rule (Appendix A.3). Have the program evaluate \(C_{p}\) at 11 equally spaced points from \(150^{\circ} \mathrm{C}\) to \(1800^{\circ} \mathrm{C}\), estimate and print the value of \(\Delta H,\) and repeat the calculation using 101 points. What can you conclude about the accuracy of the numerical calculation?

Short Answer

Expert verified
The derivation of \(C_{p}\) as a function of \(T\) leads to the natural logarithm equation. The enthalpy change (\(\Delta \hat{H}\)) is then calculated analytically using the integral of the \(C_{p}\) function. Simpson’s rule is then used for numerical integration, first with 11 points and then with 101 points, and the results are compared to evaluate the accuracy of the numerical calculation.

Step by step solution

01

Derive the Equation for \(C_{p}\) as a function of \(T\)

Since the plot of \(C_{p}\) and \(T^{1/2}\) gives a straight line and the scale is logarithmic for \(C_{p}\) and linear for \(T^{1/2}\), we can infer that this relationship is in the form of a power law. Such a relationship can be formulated as \(C_{p} = a * (T^{1/2})^b\). Taking the logarithm of both sides, we get \(\log(C_{p}) = \log(a) + b \log(T^{1/2})\). From the two points given, we can form two linear equations and solve for \(\log(a)\) and \(b\)
02

Substitute the given \(C_{p}\) Function

Substitute the derived equation from Part (a) \(C_{p}=0.235 \exp \left[0.0473 T^{1 / 2}\right]\) to proceed.
03

Evaluate the enthalpy change

Evaluate the enthalpy change \(\Delta \hat{H}(\mathrm{cal} / \mathrm{g})=\int_{150^{\circ} \mathrm{C}}^{1800^{\circ} \mathrm{C}} C_{p} d T\). Use either a table of integrals or an integral calculator to perform the definite integral analytically.
04

Repeat Integration using Simpson's Rule

Write a program using any programming language to approximate the integration numerically using Simpson's Rule. This should be done first with 11 equally spaced points, then with 101 equally spaced points.
05

Compare Results and Draw Conclusions

Compare the results from numeric calculations using Simpson's rule (with different number of points) with the analytical result derived from the integral. This comparison will provide an insight into the accuracy of the numerical calculation.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

heat capacity
Heat capacity is a fundamental concept in thermodynamics. It refers to the amount of heat required to change the temperature of a substance by one degree Celsius. Understanding the heat capacity of a substance helps us predict how that substance will react in heating or cooling processes, such as those occurring within a heat exchanger.

There are two types of heat capacities: specific heat capacity and molar heat capacity. Specific heat capacity refers to the amount of heat needed to change the temperature of a unit mass of a substance, while molar heat capacity pertains to a mole of the substance. In this exercise, we deal with specific heat capacity denoted as \( C_{p} \), which indicates the heat capacity at constant pressure.

To work with specific heat capacity, it might be represented in various ways. Here, it's a function of temperature, allowing us to calculate the enthalpy change when an organic vapor is cooled from extremely high to a considerably low temperature. This relationship is crucial because it enables precise design and prediction in thermal systems.
numerical integration
Numerical integration is a technique used when finding the exact solution to an integral analytically is difficult or impossible. Integration is a mathematical tool used to calculate areas under curves, which translates into calculating the total change over an interval in physical applications.

When the exact symbolic integration of functions like the one involved with \(C_{p}\) is complex, numerical integration serves as a valuable alternative. It estimates integral values by summing values at discrete points, effectively turning continuous data into a manageable set of calculations.
  • This process is highly beneficial when dealing with experimental data points.
  • It allows for calculating changes over discrete intervals where functions may not be expressed in simple closed forms.
  • Different numerical integration methods exist, with each having its level of accuracy and computational requirement.
For this exercise, the numerical integration technique helps approximate the integrated result of heat capacity over the temperature range using computational programs.
Simpson's rule
Simpson's Rule is a specific method of numerical integration that estimates the value of a definite integral. It applies parabolic arcs instead of the linear segments used in simpler methods like the trapezoidal rule, providing a generally more accurate result for approximating the motion of curves.

This method divides the integration interval into an even number of segments and fits a quadratic polynomial over these sub-intervals. Using parabolic arcs instead of straight lines, Simpson’s Rule often yields better approximations because it accounts for the curvature of the function more effectively. It balances complexity and accuracy, making it preferential for many practical engineering and physics problems.

Simpson's Rule can be expressed in formula as:
\[\int_{a}^{b} f(x)\,dx \approx \frac{b-a}{6} [f(a) + 4f(\frac{a+b}{2}) + f(b)]\]
In the exercise, this rule is used to compute enthalpy changes across a temperature span. By evaluating at 11 and 101 spaced points, we can assess the precision of the numerical estimate compared to the analytical solution.
analytical integration
Analytical integration is the process of finding the antiderivative or integral of a function explicitly. It involves determining the exact area under a curve, resulting in a precise mathematical expression. Unlike numerical integration, which approximates integral values, analytical integration produces specific formulas through algebraic manipulation.

In thermodynamics and physics problems, like evaluating enthalpy change for an organic vapor, analytical integration can provide a closed-form solution when the integral of the heat capacity function is tractable.
  • Analytical methods typically use formulas from integral calculus that apply to various functions.
  • Sometimes, these require substitution or other integral techniques to simplify the process.
  • In cases where the integration becomes complex, tables of known integrals can be helpful.
For this problem, performing the integration analytically gives a baseline or exact result, allowing us to verify the accuracy of numerical methods like Simpson's Rule.

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Most popular questions from this chapter

Among the best-known building blocks in nanotechnology applications are nanoparticles of noble metals. For example, colloidal suspensions of silver or gold nanoparticles (10-200 nm) exhibit vivid colors because of intense optical absorption in the visible spectrum, making them useful in colorimetric sensors. In the illustration shown below, a suspension of gold nanoparticles of a fairly uniform size in water exhibits peak absorption near a wavelength of \(525 \mathrm{nm}\) (near the blue region of the visible spectrum of light). When one views the solution in ambient (white) light, the solution appears wine-red because the blue part of the spectrum is largely absorbed. When the nanoparticles aggregate to form large particles, an optical absorption peak near \(600-700 \mathrm{nm}\) (near the red region of the visible spectrum) is observed. The breadth of the peak reflects a fairly broad particle size distribution. The solution appears bluish because the unabsorbed light reaching the eye is dominated by the short (blue-violet) wavelength region of the spectrum. since the optical properties of metallic nanoparticles are a strong function of their size, achieving a narrow particle size distribution is an important step in the development of nanoparticle applications. A promising way to do so is laser photolysis, in which a suspension of particles of several different sizes is irradiated with a high-intensity laser pulse. By carefully selecting the wavelength and energy of the pulse to match an absorption peak of one of the particle sizes (e.g., irradiating the red solution in the diagram with a \(525 \mathrm{nm}\) laser pulse), particles of or near that size can be selectively vaporized. (a) A spherical silver nanoparticle of diameter \(D\) at \(25^{\circ} \mathrm{C}\) is to be heated to its normal boiling point and vaporized with a pulsed laser. Considering the particle a closed system at constant pressure, write the energy balance for this process, look up the physical properties of silver that are required in the energy balance, and perform all the required substitutions and integrations to derive an expression for the energy \(Q_{\text {abs }}(\mathrm{J})\) that must be absorbed by the particle as a function of \(D(\mathrm{nm})\) (b) The total energy absorbed by a single particle \(\left(Q_{\text {abs }}\right)\) can also be calculated from the following relation: $$ Q_{\mathrm{abs}}=F A_{\mathrm{p}} \sigma_{\mathrm{abs}} $$ where \(F\left(\mathrm{J} / \mathrm{m}^{2}\right)\) is the energy in a single laser pulse per unit spot area (area of the laser beam) and \(A_{\mathrm{p}}\left(\mathrm{m}^{2}\right)\) is the total surface area of the nanoparticle. The effectiveness factor, \(\sigma_{\mathrm{ahs}},\) accounts for the efficiency of absorption by the nanoparticle at the wavelength of the laser pulse and is dependent on the particle size, shape, and material. For a spherical silver nanoparticle irradiated by a laser pulse with a peak wavelength of \(532 \mathrm{nm}\) and spot diameter of \(7 \mathrm{mm}\) with \(D\) ranging from 40 to \(200 \mathrm{nm}\), the following empirical equation can be used for \(\sigma_{\mathrm{abs}}\) $$ \sigma_{\mathrm{abs}}=\frac{1}{4}\left[0.05045+2.2876 \exp \left(-\left(\frac{D-137.6}{41.675}\right)^{2}\right)\right] $$ where \(\sigma_{\text {abs }}\) and the leading \(\frac{1}{4}\) are dimensionless and \(D\) has units of nm. Use the results of Part (a) to determine the minimum values of F required for complete vaporization of single nanoparticles with diameters of \(40.0 \mathrm{nm}, 80.0 \mathrm{nm},\) and \(120.0 \mathrm{nm}\). If the pulse frequency of the laser is \(10 \mathrm{Hz}\) (i.e., 10 pulses per second), what is the minimum laser power \(P(\mathrm{W})\) required for each of those values of D? (Hint: Set up a dimensional equation relating \(P\) to \(F\).) (c) Suppose you have a suspension of a mixture of \(D=40 \mathrm{nm}\) and \(D=120 \mathrm{nm}\) spherical silver nanoparticles and a \(10 \mathrm{Hz} / 532 \mathrm{nm}\) pulsed laser source with a \(7 \mathrm{nm}\) diameter spot and adjustable power. Describe how you would use the laser to produce a suspension of particles of only a single size and state what that size would be.

Estimate the specific enthalpy of steam (kJ/kg) at \(100^{\circ} \mathrm{C}\) and 1 atm relative to steam at \(350^{\circ} \mathrm{C}\) and 100 bar using: (a) The steam tables. (b) Table B.2 or APEx and assuming ideal-gas behavior. What is the physical significance of the difference between the values of \(\hat{H}\) calculated by the two methods?

Polyvinylpyrrolidone (PVP) is a polymer product used as a binding agent in pharmaceutical applications as well as in personal-care items such as hairspray. In the manufacture of \(\mathrm{PVP}\), a spray-drying process is used to collect solid PVP from an aqueous suspension, as shown in the flowchart on the next page. A liquid solution containing 65 wt\% \(\mathrm{PVP}\) and the balance water at \(25^{\circ} \mathrm{C}\) is pumped through an atomizing nozzle at a rate of \(1500 \mathrm{kg} / \mathrm{h}\) into a stream of preheated air flowing at a rate of \(1.57 \times 10^{4}\) SCMH. The water evaporates into the stream of hot air and the solid PVP particles are suspended in the humidified air. Downstream, the particles are separated from the air with a filter and collected. The process is designed so that the exiting solid product and humid air are in thermal equilibrium with each other at \(110^{\circ} \mathrm{C}\). For convenience, the spray-drying and solid- separation processes are shown as one unit that may be considered adiabatic. (a) Draw and completely label the process flow diagram and perform a degree- of-freedom analysis. (b) Calculate the required temperature of the inlet air, \(T_{0}\), and the volumetric flow rate \(\left(\mathrm{m}^{3} / \mathrm{h}\right)\) and relative humidity of the exiting air. Assume that the polymer has a heat capacity per unit mass one third that of liquid water, and only use the first two terms of the polynomial heat-capacity formula for air in Table B.2. (c) Why do you think the polymer solution is put through an atomizing nozzle, which converts it to a mist of tiny droplets, rather than being sprayed through a much less costly nozzle of the type commonly found in showers? (d) Due to a design flaw, the polymer solution does not remain in the dryer long enough for all the water to evaporate, so the solid product emerging from the separator is a wet powder. How will this change the values of the outlet temperatures of the emerging gas and powder and the volumetric flow rate and relative humidity of the emerging gas (increase, decrease, can't tell without doing the calculations)? Explain your answers.

A mixture of \(n\) -hexane vapor and air leaves a solvent recovery unit and flows through a \(70-\mathrm{cm}\) diameter duct at a velocity of \(3.00 \mathrm{m} / \mathrm{s}\). At a sampling point in the duct the temperature is \(40^{\circ} \mathrm{C}\), the pressure is \(850 \mathrm{mm}\) Hg, and the dew point of the sampled gas is \(25^{\circ} \mathrm{C}\). The gas is fed to a condenser in which it is cooled at constant pressure, condensing \(70 \%\) of the hexane in the feed. (a) Perform a degree-of-freedom analysis to show that enough information is available to calculate the required condenser outlet temperature \(\left(^{\circ} \mathrm{C}\right)\) and cooling rate \((\mathrm{kW})\) (b) Perform the calculations. (c) If the feed duct diameter were \(35 \mathrm{cm}\) for the same molar flow rate of the feed gas, what would be the average gas velocity (volumetric flow rate divided by cross-sectional area)? (d) Suppose you wanted to increase the percentage condensation of hexane for the same feed stream. Which three condenser operating variables might you change, and in which direction?

Saturated steam at \(300^{\circ} \mathrm{C}\) is used to heat a countercurrently flowing stream of methanol vapor from \(65^{\circ} \mathrm{C}\) to \(260^{\circ} \mathrm{C}\) in an adiabatic heat exchanger. The flow rate of the methanol is 6500 standard liters per minute, and the steam condenses and leaves the heat exchanger as liquid water at \(90^{\circ} \mathrm{C}.\) (a) Calculate the required flow rate of the entering steam in \(\mathrm{m}^{3} / \mathrm{min}\). (b) Calculate the rate of heat transfer from the water to the methanol ( \(\mathrm{kW}\) ). (c) Suppose the outlet temperature of the methanol is measured and found to be \(240^{\circ} \mathrm{C}\) instead of the specified value of \(260^{\circ} \mathrm{C}\). List five possible realistic explanations for the \(20^{\circ} \mathrm{C}\) difference. 7 An adiabatic heat exchanger is one for which no heat is exchanged with the surroundings. All of the heat lost by the hot stream is transferred to the cold stream.

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