Using MATLAB Linear Interpolation:
The following equation illustrates how to calculate an output for any input, using linear interpolation. The input must be within the bounds of the data set. The constants come from the data set; they are the nearest data points that bound the original input.
(constants from data set--> y1, x1, y2)
(output--> y) (input--> x)
Create a MATLAB function file that calculates the linearly interpolated y-value (output) provided an x-value (input). The function should linearly interpolate to find y given any x using the air velocity and thermal resistance data below. You are required to use a for-loop: Use a for loop inside this function file that loops through the rows of the data to determines which two rows of the data an input falls between. The row that is the lower bound will become the x1 and y1 values; the row that is the upper bound will become x2 and y2.
Calculate y given x, x1, y1, x2, and y2.
Test the code by calling this user-defined function inside the for loop of a script for values from 0 to 1700 (air velocity) and plotting the results.
Example:
x= 480
x1=400 (Lower Bound)
x2=600 (Upper Bound)
y1=113.6, y2=93.1
Resulting value of y: 105.4
output:
copyable code:
%linear_interpolate.m
function y=linear_interpolate(air_velocity,thermal_resist,x)
x1=0;
x2=0;
y1=0;
y2=0;
k=0;
%lower and upper bound
for k1=1:length(air_velocity)
if x<air_velocity(k1)
x2=air_velocity(k1);
x1=air_velocity(k1-1);
y2=thermal_resist(k1);
y1=thermal_resist(k1-1);
end
end
%display y value
y=y1+ ((x-x1)*((y2-y1)/(x2-x1)));
end
%main.m
x=480;
air_velocity=[0,200,400,600,800,1000,1200,1400,1600,1800];
thermal_resist=[373.0,156.1,113.6,93.1,81.5,73.7,67.2,62.4,58.3,55.0];
y=linear_interpolate(air_velocity,thermal_resist,x)
%plot
xlabel('Air Velocity');
ylabel('Thermal Resistance');
plot(air_velocity,thermal_resist);
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