I need help plotting a range of stream lines in my velocity field plot.
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I am new to matlab so please excuse my naivety. I need to plot streamlines for psi = [0:1:6] over the range -3<x<3. Any assistance would be greatly appreciated. Here is what I currently have;
[x,y] = meshgrid(-3:.5:3,-3:.5:3);
u = 2*y; % u velocity function
v = 1+(2*x); % v velocity function
xmarker = -0.5; %stagnation 'x' point
ymarker = 0; % stagnation 'y' point
figure
hold on
quiver (x,y,u,v)
plot(xmarker,ymarker,'r*') % stagnation point
axis([-3 3 -3 3])
%stream function
psi(0) = y^2 - x^2 - x -0.25
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Ced
il 25 Mar 2016
Hi
Nice plotting! I believe contour might help, something like
%stream function
psi = y.^2 - x.^2 - x -0.25;
contour(x,y,psi,[0:1:6])
Cheers
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Più risposte (2)
Harish babu
il 12 Apr 2016
I need help plotting a range of stream lines for velocity and temperature plots in any numerical methods
Kavitha G N
il 12 Set 2023
Need help in plotting the stream lines. I have Orr-sommerfeld equation (1/aR)(D^2 - a^2)^2 Psi - 2i psi - (1-x^2)(D^2 - a^2) psi = c(D^2 - a^2)psi.I have to plot stream lines to this equation with boundaries psi(-1)=0 and psi(1)=0. I have written this but i coldnot validate. Can any one please help to correct this if there are any.
% Define the number of grid points and domain
N = 50; % Number of grid points
Lx = 10; % Streamwise domain length
Ly = 2; % Wall-normal domain length
% Define the x and y vectors based on the grid dimensions
x = linspace(0, Lx, N-1);
y = linspace(0, Ly, N-1);
[X,Y] = meshgrid(x,y);
% Define the Chebyshev differentiation matrix
[D, x] = cheb(N);
D2 = D^2;
D2 = D2(2:N, 2:N); % Remove boundary points
% Define the Orr-Sommerfeld operators A and B
I = eye(N-1);
a = 0.05; % Adjust the value of 'a' as needed
R = 500000; % Adjust the value of 'R' as needed
S = diag([0; 1./(1-x(2:N).^2); 0]);
D4 = (diag(1-x.^2)*D^4 - 8*diag(x)*D^3 - 12*D^2)*S;
D4 = D4(2:N, 2:N);
A = (D4 - 2*a^2*D2 + a^4*I) / (a*R) - 2i*I - 1i*diag(1-x(2:N).^2)*(D2 - a^2*I);
B = D2 - a^2*I;
% Calculate eigenvalues and eigenvectors
[vecs, vals] = eig(A, B);
% Find the eigenmode with the maximum growth rate
[max_growth, max_idx] = max(real(diag(vals)));
most_unstable_mode = vecs(:, max_idx);
real_most_unstable_mode =real(most_unstable_mode);
% Reshape the eigenmode to match the grid dimensions
psi = zeros(N-1, N-1);
psi(:, 1:N-1) =reshape(real_most_unstable_mode.*eye(N-1), [], N-1);
disp(psi);
% Create a 2D contour plot of the stream function
contour(X,Y,psi,100,'-b');
xlabel('x');
ylabel('y');
title('Stream Function');
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