How can I plot on the same four figures on my code which changes while list numbers changing?
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Hello Dear frinends.
I have 15 different configuration + base one. each configuration gives me four plots.
I am trying to plot the figures of each configuration to see all 16 cases in the same figure to see the difference. maybe the below photo will give you idea what I mean.
my For loop starting with k, also excel list is uploaded for the base and distribution in the same file.
You can see my base configuration after deleting for loop with k index.

close all
clear all
clc
%%% Fixed Parameters
B = 2; % Number of Blades
R = 10.06; % Blade Radius in meter
Rho = 1.225; % Density of air kg/m3
w = 7.501; % Rotational Speed rad/s
Theta_P = -3; % Tip Pitch Angle in degree
ac = 0.2; % Glauert correction
eps = 1e-5; % Error tolerance
%%% Airfoil Date
afoil = readmatrix('airfoil data5e5.xlsx');
Aoa = afoil(:,1);
Cl = afoil(:,2);
Cd = afoil(:,3);
Velocity =[5,6,7,8,9,11]; % Wind Speed m/s
MTotal=[];
%%% Torque vs Velocity Data
torquee = readmatrix('TorqueWindSpeedExperi.xlsx');
vupper=torquee(1:5,1); % Radial Distance in meter
vlower=torquee(6:10,1); % Chord length in meter
torquelower=torquee(1:5,2); % Twist in degree
torqueupper=torquee(6:10,2);
figure(1)
hold on
plot(vupper,torqueupper,'--r',vlower,torquelower,'--r')
grid on
%%% Given Blade Data
ns=26;
sections = readmatrix('chord and twist 15 distributions.xlsx');
for k=3:2:33
r=sections(1:26,2); % Radial Distance in meter
SS=sections(1:26,3); % Span Station %
Chord=sections(1:26,k+1); % Chord length in meter
Beta=sections(1:26,k+2); % Twist in degree
% disp(' ');disp(' BEM Theory ')
% disp('Velocity (m/s) Torque (J) Power (KW)')
% disp(' ')
for j=1:length(Velocity)
for i = 8:length(r)
sigma(i) = (B*Chord(i))/(2*pi*r(i));
a=0;
a_prime=0;
alist(i)=[0];
alistprime(i)=[0];
% disp(['Section ',num2str(i)])
for n=1:1000
Phi = atand(((1-a)*Velocity(j))/((1+a_prime)*w*r(i))); % Flow Angle
Theta = Beta(i) + Theta_P ;
aoa = Phi- Theta; % local angle of attack in degree
f = (B/2)* ((R-r(i))/(r(i)*sind(Phi)));
F = (2/pi)*acos(exp(-f)); % Prandtl correction factor
cl=interp1(Aoa,Cl,aoa,'linear','extrap');
cd=interp1(Aoa,Cd,aoa,'linear','extrap');
Cn = cl*cosd(Phi)+cd*sind(Phi);
Ct =cl*sind(Phi)-cd*cosd(Phi);
K=(4*F*(sind(Phi))^2)/(sigma(i)*Cn);
%%%%%%%%%% a and ac condition
a = 1/(((4*F*(sind(Phi)^2))/(sigma(i)*Cn))+1);
if a < ac || a==ac
a=a;
else
a = 0.5*(2+K*(1-2*ac)-sqrt(((K*(1-2*ac)+2)^2)+4*((K*(ac^2))-1)));
end
a_prime =1/(((4*F*(sind(Phi)*cosd(Phi)))/(sigma(i)*Ct))-1);
alist(i,n+1)=a;
alistprime(i,n+1)=a_prime;
% disp([" a ",a,' a_old ',alist(i,n)," a_prime ",a_prime,' a_Prime_old ',alistprime(i,n)])
%%% condition for epsilon or tolerance
if a-alist(i,n) < eps && a_prime-alistprime(i,n) < eps
break;
end
end
%%% V relative
v_rel(i) = sqrt( (Velocity(j)*(1-alist(end)))^2 + (w*r(i)*(1+alistprime(end)))^2 );
%%% The tangential force per length Pt
Pt(i) = 0.5*Rho*(v_rel(i)^2)*Chord(i)*Ct;
end
for i=8:length(Pt)-1
Ai(i) = (Pt(i+1)-Pt(i) ) / (r(i+1)-r(i));
Bi(i) = ((Pt(i)*r(i+1))-(Pt(i+1)*r(i)) ) / (r(i+1)-r(i));
Pt_total(i) = Ai(i)*r(i)+Bi(i);
end
% disp(['Pt_total at ',num2str(V0(j)),' m/s is ',num2str(sum(Pt_total))])
for i=8:length(Pt)-1
M(i) = ((1/3)*Ai(i)*((r(i+1)^3)-(r(i)^3))) + ((0.5)*Bi(i)*((r(i+1)^2)-(r(i)^2)));
end
% % total shaft torque and power
MTotal(j) = B* sum(M);
Power(j)=MTotal(j)*w*1e-3;
disp([' ',num2str(Velocity(j)),' ',...
num2str(MTotal(j)),' ',num2str(Power(j))])
end
plot(Velocity,MTotal,'--b','LineWidth',1.5)
legend('Experimental upper range ','Experimental lower range ','Baseline computation','Position',[.25, 0.8, .11, .11]); xlabel(' Wind Speed (m/s) '); ylabel(' Torque (Nm) ');
set(gca,'XTick',(4:1:12)); set(gca,'YTick',(0:300:1800))
ylim([0 1800]); xlim([4 12]);
for i =1
if Aoa(i)>-19
title(' Reynolds number = 500.000' )
else
title(' Reynolds number = 1.000.000' )
end
end
VelocityEx =[5,6,7,8,9,11,13,15,17,19,23,25]; % Wind Speed m/s
PowerEx=[2.34,4.03,5.87,7.68,9.62,11.12,9.19,8.93,6.75,6.62,7.62,9.05];
figure(2) % Power
hold on
plot(Velocity,Power,'-or',VelocityEx,PowerEx,'-oblue','LineWidth',1.5);grid on
set(gca,'XTick',(0:5:30)); set(gca,'YTick',(0:2:15))
ylim([0 15]); xlim([0 30]);
xlabel(' Wind Speed (m/s)'); ylabel(' Power(KW) ');
legend('BEM Theory ','Experimental Data','Position',[.25, 0.8, .11, .11]); xlabel(' Wind Speed (m/s) '); ylabel(' Torque (Nm) ');
for i =1
if Aoa(i)>-19
title(' Reynolds number = 500.000' )
else
title(' Reynolds number = 1.000.000' )
end
end
figure(3) % Twist vs Span Station in percent
plot(SS,Beta,'-*r')
set(gca,'XTick',(0:0.2:1)); set(gca,'YTick',(-5:5:25))
ylim([-5 25]); xlim([0 1.2]);
xlabel(' Span Station % '); ylabel(' Twist Angle (degrees) ');
title(' Baseline Twist Angle Distribution ')
grid on
figure(4) % Chord vs Span Station in percent
plot(SS,Chord,'-*b')
set(gca,'XTick',(0:0.2:1)); set(gca,'YTick',(0:0.2:1))
ylim([0 1]); xlim([0 1.2]);
xlabel(' Span Station % '); ylabel(' Chord length ');
title(' Baseline Chord Distribution ')
grid on
end
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