How to view the temperature distribution in a section or a slice?OR plot 4D

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I got the temperature distribution using the transient thermal model(from a .STL file,irregular shape) in the PDE toolbox and got coordinates of nodes and the temperature of each node.
How can I view the temperature distribution in a section or a slice?
I have tried interpolateSolution function,but it seems for stationary results,not suitable for thermal model.As for Sliceomatic,I do not know how to use it with many errors.
What I want to get is just like this:
the data as follows:
x=model.Mesh.Nodes(1,:)'; % x-coordinate of nodes
y=model.Mesh.Nodes(2,:)'; % y-coordinate of nodes
z=model.Mesh.Nodes(3,:)'; % z-coordinate of nodes
u= R1.Temperature(1,:)'; % temperature of nodes

Answers (1)

Maneet Kaur Bagga
Maneet Kaur Bagga on 3 Jan 2024
Hello,
As per my understanding, to visualize the temperature distribution in a section (slice) of an irregular 3D shape can be achieved using the "slice" function. This is useful for examining the internal temperature distribution at a particular plane within the domain.
Given the coordinates of the nodes and the temperature at each node please refer to the following steps below to a possible workaround to the problem:
  • Create a 3D grid that covers the domain of the model to capture the details of the temperature distribution.
  • Use "griddata" function to interpolate the temperature data from the irregular mesh onto the 3D grid.
  • Display the temperature disribution on the slice through the 3D grid using "slice" function.
As you are working with transient results and want to visualize the temperature at a specific time step, please extract the temperature data "u" for that time step before performing the interpolation.
Please refer to the code below for reference.
% Assuming x, y, z, and u contain the node coordinates and temperature
F = scatteredInterpolant(x, y, z, u); % Create an interpolant function
% Define the limits and resolution of the grid
xlin = linspace(min(x), max(x), 100);
ylin = linspace(min(y), max(y), 100);
zlin = linspace(min(z), max(z), 100);
% Create the grid
[X, Y, Z] = meshgrid(xlin, ylin, zlin);
% Interpolate the temperature onto the grid
U = F(X, Y, Z);
% Choose the slice positions (modify as needed)
xslice = []; % Empty means no slice along X
yslice = []; % Empty means no slice along Y
zslice = mean(z); % Slice in the middle of the Z domain
% Create the slice plot
slice(X, Y, Z, U, xslice, yslice, zslice)
shading interp % Optional for smoother color transition
colorbar % To show the temperature scale
xlabel('X')
ylabel('Y')
zlabel('Z')
title('Temperature Distribution Slice')
For better understanding MATLAB Documentation is attached below:
Hope this helps!

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