Project 1 - Parsing NASA thermodynamic data

AIM:- Write a code in Matlab to parse the NASA thermodynamic data file and then calculate thermodynamic properties of various gas species.

OBJECTIVE:-

Write a function that extracts the 14 co-efficients and calculates the enthalpy, entropy and specific heats for all the species in the data file.

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 contained Calculate the molecular weight of each species and display it in the command window.

Plot the Cp, Enthalpy and Entropy for the local temperature range (low temperature : high temperature) specific for each species.

Save the plots as images with appropriate names and dump them in separate folders for each species with suitable name. All these should be generated automatically.

The main program that you will submit will just take the "THERMO.dat" file as an input and generate Cp, H and S plots.

Screenshot of the window where all the folders are saved.

Plots for o2, N2 and Co2 species.

File Parsing:-

Parsing, syntax analysis, or syntactic analysis is the process of analyzing a string of symbols, either in natural language, computer languages or data structures, conforming to the rules of a formal grammar. The term parsing comes from Latin pars (orationis), meaning part (of speech).Within computational linguistics the term is used to refer to the formal analysis by a computer of a sentence or other string of words into its constituents, resulting in a parse tree showing their syntactic relation to each other, which may also contain semantic and other information. Some parsing algorithms may generate a parse forest or list of parse trees for a syntactically ambiguous input.

Parsing a file means reading in a data stream of some sort and building an in-memory model of the semantic content of that data. This aims at facilitating performing some kind of transformation on the data.

NASA Thermodynamic File:-

NASA thermodynamics file which is THERMO.dat file in which there are temperature range and 53 species are given in these data and each species contains 14 coefficients and temperature ranges and we have to parse these 14 coefficients to find Specific heat, Entropy and Enthalpy using formula as:-

where,

R = Universal Gas constant

T = Temperature

Cp = Specific heat (KJ)

S = Entropy(KJ/mol-K)

H = Enthalpy(KJ/mol)

a(i) = Coefficients where, i = 1 to 14

Specific Heat:-

The specific heat is the amount of heat per unit mass required to raise the temperature by one degree Celsius. The relationship between heat and temperature change is usually expressed in the form shown below where c is the specific heat.

Cp = specificheat(a1,a2,a3,a4,a5,a8,a9,a10,a11,a12,T,R,local_mid_temp)

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.

s = entropy_calc(a1,a2,a3,a4,a5,a7,a8,a9,a10,a11,a12,a14,T,R,local_mid_temp)

Enthalpy:-

so as to prevent mass transfer, for processes at constant pressure, the heat absorbed or released equals the change in enthalpy.

h = enthalpay(a1,a2,a3,a4,a5,a6,a8,a9,a10,a11,a12,a13,T,R,local_mid_temp)

CODE:-

Main code:-

clc

close all

clear all

% geting data file

f1 = fopen('THERMO.dat','r');

% first_line = fgetl(f1);

%

% % obtaining of global max, min and medium temperatures

%

% local_temp= fgetl(f1);

% temp_range = strsplit(local_temp,' ');

% local_low_temp = str2num(temp_range(2))

% local_mid_temp = str2num(temp_range(3))

% local_high_temp = str2num(temp_range(4))

% Range of temperature

% skipping th next three comments in the file

for i = 1:5

comments = fgetl(f1);

end

% Getting the coeffs of species

for i = 1:53

% Extracting line 1 and the name of the species

line1 = fgetl(f1);

name = strsplit(line1,' ');

species_name = name{1};

local_low_temp = str2num(name{end-3});

local_mid_temp = str2num(name{end-1});

local_high_temp = str2num(name{end-2});

T = linspace(local_low_temp, local_high_temp, 400);

R = 8.314;

% Extracting higher and lower temperature coeff

line2 = fgetl(f1);

A = strfind(line2,'E');

% Extracting higher temperature coeffs

a1 = str2num(line2(1:A(1)+3));

a2 = str2num(line2(A(1)+4:A(2)+3));

a3 = str2num(line2(A(2)+4:A(3)+3));

a4 = str2num(line2(A(3)+4:A(4)+3));

a5 = str2num(line2(A(4)+4:A(5)+3));

line3 = fgetl(f1);

B = strfind(line3,'E');

a6 = str2num(line3(1:B(1)+3));

a7 = str2num(line3(B(1)+4:B(2)+3));

% Extracting lower temperature coeffs

a8 = str2num(line3(B(2)+4:B(3)+3));

a9 = str2num(line3(B(3)+4:B(4)+3));

a10 = str2num(line3(B(4)+4:B(5)+3));

line4 = fgetl(f1);

C = strfind(line4,'E');

a11 = str2num(line4(1:C(1)+3));

a12 = str2num(line4(C(1)+4:C(2)+3));

a13 = str2num(line4(C(2)+4:C(3)+3));

a14 = str2num(line4(C(3)+4:C(4)+3));

% Specific heat calculation

cp = specificheat(a1,a2,a3,a4,a5,a8,a9,a10,a11,a12,T,R,local_mid_temp);

% Enthalpay calculations

h = enthalpay(a1,a2,a3,a4,a5,a6,a8,a9,a10,a11,a12,a13,T,R,local_mid_temp);

% Entropy calculations

s = entropy_calc(a1,a2,a3,a4,a5,a7,a8,a9,a10,a11,a12,a14,T,R,local_mid_temp);

mkdir(species_name)

cd(species_name)

figure(1)

plot(T,cp)

title(sprintf('Specific heat Vs Temperature for %s'))

xlabel('Temperature')

ylabel('Specificheat')

saveas(figure(1),'cp vs T.jpg')

figure(2)

plot(T,h)

title(sprintf('Enthalpy Vs Temperature for %s'))

xlabel('Temperature')

ylabel('Enthalpy')

saveas(figure(2),'h vs T.jpg')

figure(3)

plot(T,s)

title(sprintf('Entropy Vs Temperature for %s'))

xlabel('Temperature')

ylabel('Entropy')

saveas(figure(3),'s vs T.jpg')

cd ..

% Creating individual folder for each species and plotting

% plotting(cp,h,s,T,name)

% Calculating molecular weight of speciesp

[MW] = molecular_weight(species_name);

end

STEPS:-

• Firstly, we will Input the parameter R and we will open a filedat file and reading this file using fopen command.
• Then, we will read first THERMO using fgetl command and then we read temperature file and we will split the temperatures using strsplit command to convert it into cell array and then we will convert this string to number using str2num command to find low, high and mid temperatures.
• Then we will assign temperature range using linspace command. Then we run loop to skip command lines the data file using fgetl command inside the loop.
• Now, we will run the loop to find 53 element in the data file by assigning fgetl command and then spliting into the cell array to find the species line and then find the species name and then find the number of the temperatures in the species line.
• Then we read the new line. In order to read the coefficient in the data file we will first find the 'E' string using strfind command to find before and after numbers of the coefficients then we will find remaining 14 coefficients and convert them to numbers from strings.
• Out of which we will find first 7 Coefficients which are for Higher temperature and then Second 7 Coefficients which are for Lower temperature.
• Now we will specify Specific heat Cp, Entropy S, Enthalpy H functions to find these parameters using these 14 coefficients for Lower and higher Temperature. then we will specify molecular weight W function to find the Molecular weight of the different species.
• Now we will write the Molecular weight.txt file and fprintf all the molecular weights of the species. and then close the txt file using fclose command.
• Now we change the directory using cd command and then creating directory folder where we have to save our files using mkdir command and then we will change the directory to this created folder.
• Now, we will plot Specific heat, Entropy and Enthalpy with the Temperature for different species. We we will use scanf command to in the title command to create different species title.
• Then we will use saveas command to save the plots of different species in the directory folder. Now we will change the directory to which our main code file runs in the MATLAB.

Function to find Molecular weight of the different Species :-

% Functipon to calculate molecular weioght

function MW = molecular_weight(species_name)

atoms = ['H','C','O','N','A'];

% fprintf('Molecular Weight of ');

% fprintf(name);

% fprintf(' : ');

atomic_weight = [1,12,16,14,40];

MW = 0;

for i = 1:length(species_name)

for j = 1:length(atoms)

if strcmpi(species_name(i),atoms(j))

MW = MW + atomic_weight(j);

position = j;

end

end

n = str2double(species_name(i));

if n>1

MW = MW + atomic_weight(position)*(n-1);

end

end

sprintf('The molecular weight of %s is %d',species_name,MW)

% sprintf('MW %s :',name);

% sprintf('%d', MW);

% disp(' ');

end

STEPS :-

• Firstly we create anMolecular_weight functionW and assigning species input to that.
• Then define the main element of all 53 species in an array atomic_name that are :- 'H','C','O','N','Ar'.
• Then by taking above main elements we will create there atomic_wieght array from any source like internet that are :- 1.008 12.011 15.999 14.007 39.948.
• Then we will assign molecular starting range W To zero and then create an for loop condition which runs to the length of the species and an another nested for loop is created which runs to the length of the string atomic_name.
• Then we will create an condition using if condition and use strcmp command to compare the species and atomic_name strings to calculate molecular masses if by comparison both string found same then we will assign its molecular weight.
• Now, we will string to the number using str2num command assign to n. Then we run an condition of if loop to find weather the species contains more than one element if there are more then 1 elements that is n>1 then we will increment the atomic weight by the multiplication of position and n-1 to the atomic_weight array.
• Then we will print the Molecular weight using fprintf command and display it using disp command.

Function to find Entropy:-

% Calculation of entropy

function s = entropy_calc(a1,a2,a3,a4,a5,a7,a8,a9,a10,a11,a12,a14,T,R,local_mid_temp)

if T<=local_mid_temp

s = R*(a1*log(T)+(a2*T)-a3*(T.^2)./2+a4*(T.^3)./3+a5*(T.^4)./4+a7);

else

s = R*(a8*log(T)+(a9*T)-a10*(T.^2)./2+a11*(T.^3)./3+a12*(T.^4)./4+a14);

end

STEPS :-

• Now we will find the Entropy by creating Entropy function and assigning its relted formula coefficent from 14 coefficients, Gas constant, Temperature and mid temperature.
• Now we will creatre an condition using if loop and make the temperature less than and equal to mid temperature to specify lower temperature coefficent in the formula.
• Then we will use else condition to specify coefficient of Higher temperature coefficent in the formula.
• Then end the loop and function to calculate Entropy.

Function to find Enthalpy :-

% Calculations of enthalpy

function h = enthalpay(a1,a2,a3,a4,a5,a6,a8,a9,a10,a11,a12,a13,T,R,local_mid_temp)

if T > local_mid_temp

h = R*(a1*T+(a2*T.^2)./2+(a3*T.^3)./3+(a4*T.^4)./4+(a5*T.^5)./5+a6);

else

h = R*(a8*T+(a9*T.^2)./2+(a10*T.^3)./3+(a11*T.^4)./4+(a12*T.^5)./5+a13);

end

STEPS :-

• Now we will find the Enthalpy by creating Enthalpy function and assigning its relted formula coefficent from 14 coefficients, Gas constant, Temperature and mid temperature.
• Now we will creatre an condition using if loop and make the temperature less than and equal to mid temperature to specify lower temperature coefficent in the formula.
• Then we will use else condition to specify coefficient of Higher temperature coefficent in the formula.
• Then end the loop and function to calculate Enthalpy.

Function to find Specific Heat :-

% calculation of specific heat

function cp = specificheat(a1,a2,a3,a4,a5,a8,a9,a10,a11,a12,T,R,local_mid_temp)

% comparing with global temp

% if less than global it will takle min coeffs

if T > local_mid_temp

cp = R*(a1+a2*T+a3*T.^2+a4*T.^3+a5*T.^4);

% if temp is more it will take max coeffs

else

cp = R*(a8+a9*T+a10*T.^2+a11*T.^3+a12*T.^4);

end

STEPS :-

• Now we will find the Specific heat by creating Specific heat function and assigning its relted formula coefficent from 14 coefficients, Gas constant, Temperature and mid temperature.
• Now we will creatre an condition using if loop and make the temperature less than and equal to mid temperature to specify lower temperature coefficent in the formula.
• Then we will use else condition to specify coefficient of Higher temperature coefficent in the formula.
• Then end the loop and function to calculate Specific Heat.

FINAL RESULTS :-

PLOTS :-

Plots of specie O2 :-

Plots of specie N2 :-

Plots of specie CO2 :-

Screenshot of the Directory where Different Species are saved:-