Project 1 - Parsing NASA thermodynamic data
Parsing NASA thermodynamic data
Aim:
To write a code in Matlab to parsing the NASA thermodynamic data file and then calculate the thermodynamic properties of various gas species.
Objective :
1. To write a function that extracts the 14 coefficients and calculates the enthalpy, entropy, and specific heats for all the species in the NASA thermodynamic data file "Thermo.dat".
The NASA polynomials have the form as shown below:

Where R is the universal gas constant, T is the temperature
2. To calculate the molecular weight of each species and display it in the command window.
3. To plot the Cp, Enthalpy, and Entropy for the local temperature range (low temperature: high temperature) specific for each species.
4. To save the plots as images with appropriate names and dump them in separate folders for each species with suitable name automatically.
File Parsing:
File parsing refers to how information can be read from a particular text file or any type of file and how that information can be used in a computer program.
Step 1 - Define the functionStep 2 - Create an InputParser object
Step 3 - Add inputs to the scheme.
Step 4 - Set properties to adjust parsing.Step 5 - Parse the inputs.
Step 6 - Use the inputs in function.Step 7 - Calling function.
NASA Thermodynamic File:
THERMO.dat file is a data file containing 14 coefficients for 53 different elements given by NASA. These coefficients are utilized to calculate the specific heat, enthalpy & entropy for a particular element. Each element has its own range of local temperature.
Enthalpy, Entropy, and Specific Heat:
Enthalpy, entropy, and specific heat, of various species values at different temperatures are required extensively to analyze the thermodynamic process.
For example, if the combustion process is considered during this, these quantities are required to observe how the combustion is going on and how efficient it will be. It eventually allows seeking the scope of improvement in the process. Similarly in the other processes like refrigeration, air conditioning, chemical kinetics, nozzle flow, detonation process, etc, these quantities are widely involved to observe the phenomenon.
Coding Functions:
1. Specific Heat:
It is the amount of energy that must be added, in the form of heat, to one unit of mass of the substance in order to cause an increase of one unit in its temperature.
Cp = (a1 + a2 T + a3 T^2 + a4 T^3 + a5 T^4)*R
Function for Specific heat:
% Specific heat calculation function
function Cp = Specificheat(a1,a2,a3,a4,a5,a8,a9,a10,a11,a12,Temp,R,global_medium_temp)
% Comparing with global temperature
% If less than global temperature - minimum coefficients are taken
if Temp <= global_medium_temp
Cp = R*(a8 + (a9*Temp) + (a10*(Temp).^2) + (a11*(Temp).^3) + (a12*(Temp).^4));
else
Cp = R*(a1 + (a2*Temp) + (a3*(Temp).^2) + (a4*(Temp).^3) + (a5*(Temp).^4));
% Else maximum coefficients are taken
end
2. Entropy:
Entropy, the measure of a system’s thermal energy per unit temperature that is unavailable for doing useful work. Because work is obtained from ordered molecular motion, the amount of entropy is also a measure of the molecular disorder, or randomness, of a system. The concept of entropy provides deep insight into the direction of spontaneous change for many everyday phenomena.
S = (a1 lnT + a2 T + a3 T^2 /2 + a4 T^3 /3 + a5 T^4 /4 + a7)*R
Function for Entropy:
% Entropy Calculatin function
function S = Entropy_calc(a1,a2,a3,a4,a5,a7,a8,a9,a10,a11,a12,a14,Temp,R,global_medium_temp)
% Comparing with global temperature
% If less than global temperature - minimum coefficients are taken
if Temp <= global_medium_temp
S = R.*(a8.*log(Temp) + (a9.*Temp) + (a10*((Temp).^2)/2) + (a11*((Temp).^3)/3) + (a12*((Temp).^4)/4) + a14);
else
% Else - maximum coefficients are taken
S = R.*(a1.*log(Temp) + (a2.*Temp) + (a3*((Temp).^2)/2) + (a4*((Temp).^3)/3) + (a5*((Temp).^4)/4) + a7);
end
3. Enthalpy:
Enthalpy, a property of a thermodynamic system, is equal to the system's internal energy plus the product of its pressure and volume. In a system enclosed so as to prevent the mass transfer, for processes at constant pressure, the heat absorbed or released equals the change in enthalpy.
H = (a1 + a2 T /2 + a3 T^2 /3 + a4 T^3 /4 + a5 T^4 /5 + a6/T)*R*T
Function for Enthalpy:
% Enthalpy Calculation function
function H = Enthalpy(a1,a2,a3,a4,a5,a6,a8,a9,a10,a11,a12,a13,Temp,R,global_medium_temp)
% Comparing with global temperature
% If less than global temperature - minimum coefficients are taken
if Temp <= global_medium_temp
H = R*Temp.*(a8 + ((a9*Temp)/2) + ((a10*(Temp).^2)/3) + ((a11*(Temp).^3)/4) + ((a12*(Temp).^4)/5) +((a13./Temp)));
else
% Else maximum coefficients are taken
H = R*Temp.*(a1 + ((a2*Temp)/2) + ((a3*(Temp).^2)/3) + ((a4*(Temp).^3)/4) + ((a5*(Temp).^4)/5) +((a6./Temp)));
end
4. Molecular Weight:
The molecular mass is the mass of a given molecule: it is measured in daltons. Different molecules of the same compound may have different molecular masses because they contain different isotopes of an element.
Function for Molecular Weight:
% Molecular Weight Calculation function
function Molecularweight = Molecular_weight(Species_SP)
% Standard - Atomic Name
atomic_name = ['H','C','O','N','A'];
% Hydrogen, Carbon, Oxygen, Nitrogen, Argon
fprintf('Molecular Weight of ');
fprintf(Species_SP);
fprintf(' : ');
% Standard Atomic Number
Atomic_Weight = [1.008 12.011 15.999 14.007 39.948];
% Starting Range of Molecule
Molecularweight = 0;
% Adding Atomic number to obtain particular value
for i = 1:length(Species_SP)
for j = 1:length(atomic_name)
if strcmpi(Species_SP(i),atomic_name(j))
Molecularweight = Molecularweight +Atomic_Weight(j);
position = j;
end
end
n = str2num(Species_SP(i));
if n>1
Molecularweight = Molecularweight + Atomic_Weight(position)*(n-1);
end
end
fprintf('molecular weight %s :',Species_SP);
fprintf('%d',Molecularweight);
disp(' ');
end
Main Code:
Code
clear all
close all
clc
% Make directory
mkdir 'E:MAT LAD programsNASA thermodynamic'
% Reading Data file - NASA Thermodynamic
% Open a file & 'r' Open the file for reading
f1=fopen('THERMO.dat','r')
gt=fgetl(f1);
% Obtaing Temperatures - by Reading Header Information
global_temp=fgetl(f1);
% Spliting
t=strsplit(global_temp);
% Converting string cells to numbers using str2num,
global_low_temp=str2num(t{2});
global_medium_temp=str2num(t{3});
global_high_temp=str2num(t{4});
% Temperature range & Gas Constant
% Temperature Range assumed
Temp=linspace(global_low_temp,global_high_temp,1000);
% Universal Gas Constant J/(mol-K)
R = 8.314;
% skipping three comment lines in the file
for i = 1:3
gt=fgetl(f1);
end
for i = 1:53
gt=fgetl(f1);
A=strsplit(gt,' ');
Species_SP=(A{1})
line_1=fgetl(f1) ;
a=strfind(line_1,'E');
% Extracting higher and lower temperature coefficients
% % Extracting FIRST 7 coefficients i.e HIGH-temperature coefficients
a1=line_1(1:a(1)+3);
a1=str2num(a1); %1
a2=line_1(a(1)+4:a(2)+3);
a2=str2num(a2) ; %2
a3=line_1(a(2)+4:a(3)+3);
a3=str2num(a3) ; %3
a4=line_1(a(3)+4:a(4)+3);
a4=str2num(a4); %4
a5=line_1(a(4)+4:a(5)+3);
a5=str2num(a5) ; %5
line_2=fgetl(f1);
b=strfind(line_1,'E');;
a6=line_2(1:b(1)+3);
a6=str2num(a6) ; %6
a7=line_2(a(1)+4:b(2)+3);
a7=str2num(a7); %7
% Extracting SECOND 7 coefficients - LOW-temperature coefficients
a8=line_2(b(2)+4:b(3)+3);
a8=str2num(a8); %8
a9=line_2(b(3)+4:b(4)+3);
a9=str2num(a9) ; %9
a10=line_2(b(4)+4:b(5)+3);
a10=str2num(a10) ; %10
line_3=fgetl(f1);
c=strfind(line_1,'E');
a11=line_3(1:c(1)+3);
a11=str2num(a11); %11
a12=line_3(c(1)+4:c(2)+3);
a12=str2num(a12); %12
a13=line_3(c(2)+4:c(3)+3);
a13=str2num(a13); %13
a14=line_3(c(3)+4:c(4)+3);
a14=str2num(a14); %14
% Specific heat calculation
Cp = Specificheat(a1,a2,a3,a4,a5,a8,a9,a10,a11,a12,Temp,R,global_medium_temp);
% Enthalpy calculation
H = Enthalpy(a1,a2,a3,a4,a5,a6,a8,a9,a10,a11,a12,a13,Temp,R,global_medium_temp);
% Entropy calculation
S = Entropy_calc(a1,a2,a3,a4,a5,a7,a8,a9,a10,a11,a12,a14,Temp,R,global_medium_temp);
% Calculating molecular weight of species
Molecularweight(i) = Molecular_weight(Species_SP);
% Read & Write Molecular list
Molecular_list = fopen('Molecular weight.txt','a+');
fprintf( Molecular_list,'Molecular weight of %s is %d n',Species_SP,Molecularweight);
fclose(Molecular_list);
% plotting(CP,H,S,Temp,Species_SP)
% Saving as a folder
cur_dir=pwd;
mkdir(Species_SP);
cd(Species_SP);
% Plot 1, Specific heat (CP) vs Temperature Range (Temp)
figure(1)
plot(Temp,Cp,'linewidth',2,'color','r');
xlabel('Temperature [K]');
ylabel('Specific Heat [kJ]');
title(sprintf('Varying Specific Heat with Temperature Range of %s',Species_SP));
grid on
saveas(figure(1),'Specific Heat.jpg');
% Plot 2, Enthalpy (H) vs Temperature Range (Temp)
figure(2)
plot(Temp,H,'linewidth',2,'color','g');
xlabel('Temperature [K]');
ylabel('Enthalpy in [kJ/(mol)]');
title(sprintf('Varying Enthalpy with Temperature Range of %s',Species_SP));
grid on
saveas(figure(2),'Ethalpy.jpg');
% Plot 3, Entropy (S) vs Temperature Range (Temp)
figure(3)
plot(Temp,S,'linewidth',2,'color','b');
xlabel('Temperature [K]');
ylabel('Entropy in [kJ/(mol-K)]');
title(sprintf('Varying Entropy with Temperature Range of %s',Species_SP));
grid on
saveas(figure(3),'Entropy.jpg');
cd(cur_dir);
% Molecular weight
M = Molecular_weight(Species_SP)
f2 = fopen('molecular mass','w');
fprintf('%s n %s n %f n','species','Molecular mass',M)
fclose(f2)
end
Code Explanation:
1. 'clear all' - clear all the variables in the workspace,
'close all' - closes all the plots and figures and
'clc' - clears the command window.
2. Making a directory using 'mkdir' with location address.
3. After that, reading the text file 'Thermo.dat' file and opening it by using ‘fopen’ and 'r' as reading command.
4. For reading the line in a text file using ‘fgetl’.
5. To obtain the temperature range from the Thermo.dat file, using ‘strsplit’ to split the temperature into a particular string cell.
6. Used ‘str2num’ for converting string cell to numbers.
7. Divided the temperature into a string and then converted to a number so that temperature values can be used separately to solve the NASA thermodynamics.
8. Using ‘for & end’ loops to skip the next three comment lines in the text file.
9. Reading all the 53 species to plot specific heat(cp), enthalpy(H), and entropy(S), with temperature values, and to find the molecular weights.
10. Used ‘for’ loop to read 53 species.
11. Used ‘strfind’ to find string.
12. Using 'linspace' specified the temperature range from low to high.
13. Adding universal gas constant value ‘R’.
14. Extracted higher and lower temperature coefficient by reading line by line from the species.
15. Calling specific heat, enthalpy, entropy function codes.
16. Calculating Molecular weight.
Syntax Used during Coding
Fopen: Open a file or obtain information about open files
‘r’: Open the file for reading
fgetl: Read line from file
strsplit: Split string or character vector at specified delimiter
str2num: Convert character array or string to numeric array
strfind: Find one string within another
linspace: Generate linearly spaced vectors
fprintf: Write formatted data to file
pwd: Identify current directory
mkdir: Make new directory
cd: Change working directory
Attachment:
Screenshot if the window were all the files are saved:

Results are postted in the drive link which is given below
Conclution:
Using MATLAB code, the nessary coefficiant required to evaluate various thermodynamic parameters for diffrent species are extraction from NASA thermodynamics data file. the spacific heat enthalpy and entropy for all the species are calculated and plotted aginst the local temperature range .The molecular weight is calcualted for all the species.
Drive link:
https://drive.google.com/drive/folders/1DIdqYH1-AFRxvKhDrQjt2wfCC4QPrfHF?usp=sharing