2.37. The vapor pressures of 1-chlorotetradecane at several temperatures are tabulated here. T(°C) 98.5 131.8 148.2 166.2 199.8 215.5 p*(mm Hg) 1 5 10 20 60 100 (a) Use two-point linear interpolation to estimate the value of p* at T = 185°C. (b) Suppose you only know the data at 98.5°C and 215.5°C. Use two-point linear interpolation to estimate the vapor pressure at 148.2°C. Assume the measured vapor pressure in the table is the true value, and calculate the percentage error in your interpolated value. Why would you expect the error associated with the estimate in Part (a) to be significantly less than that of Part (b)?
2.37. The vapor pressures of 1-chlorotetradecane at several temperatures are tabulated here. T(°C) 98.5 131.8 148.2 166.2 199.8 215.5 p*(mm Hg) 1 5 10 20 60 100 (a) Use two-point linear interpolation to estimate the value of p* at T = 185°C. (b) Suppose you only know the data at 98.5°C and 215.5°C. Use two-point linear interpolation to estimate the vapor pressure at 148.2°C. Assume the measured vapor pressure in the table is the true value, and calculate the percentage error in your interpolated value. Why would you expect the error associated with the estimate in Part (a) to be significantly less than that of Part (b)?
Introduction to Chemical Engineering Thermodynamics
8th Edition
ISBN:9781259696527
Author:J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
Publisher:J.M. Smith Termodinamica en ingenieria quimica, Hendrick C Van Ness, Michael Abbott, Mark Swihart
Chapter1: Introduction
Section: Chapter Questions
Problem 1.1P
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Transcribed Image Text:2.37. The vapor pressures of 1-chlorotetradecane at several temperatures are tabulated here.
T(°C)
98.5
131.8
148.2
166.2
199.8
215.5
p*(mm Hg)
1
5
10
20
60
100
(a) Use two-point linear interpolation to estimate the value of p* at T = 185°C.
(b) Suppose you only know the data at 98.5°C and 215.5°C. Use two-point linear interpolation to
estimate the vapor pressure at 148.2°C. Assume the measured vapor pressure in the table is the true
value, and calculate the percentage error in your interpolated value. Why would you expect the
error associated with the estimate in Part (a) to be significantly less than that of Part (b)?
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