Main [.m]
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Project/Main.m
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281
Project/Main.m
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% Axisymmetric mug
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% r–z plane, rotation around r = 0
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clear; clc; close all;
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%% General values that we use in the entire script
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%Task 3) Thermal conductivity
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lambda_wall = 30; % ceramic
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lambda_fluid = 0.6089; % water
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lambda_air = 0.026; % air
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%Task 4)
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alpha = 10; % heat transfer coefficient
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u_out = 18; % ambient air temperature (°C)
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%Task 6) Volumetric heat capacities: rho * c_p
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% Densities [kg/m^3]
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rho_wall = 2400; % ceramic
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rho_fluid = 1000; % water
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rho_air = 1.2; % air
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% Specific heats [J/(kg*K)]
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cp_wall = 900;
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cp_fluid = 4184;
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cp_air = 1005;
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% Volumetric heat capacities [J/(m^3*K)]
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c_wall = rho_wall * cp_wall;
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c_fluid = rho_fluid * cp_fluid;
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c_air = rho_air * cp_air;
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%% Task 1: Mesh definition
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% Create PDE model
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model = createpde();
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% Points (meters)
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A = [0, 0]; B = [0.055, 0];
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C = [0.083, 0.105]; H = [0.078, 0.105];
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F = [0.050, 0.005]; E = [0, 0.005];
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G = [0.067, 0.066]; I = [0, 0.066];
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D = [0, 0.105];
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% Geometry matrix (edges)
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g1 = [2; A(1); E(1); A(2); E(2); 1; 0]; % Axis - ceramic
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g2 = [2; E(1); I(1); E(2); I(2); 2; 0]; % Axis - fluid
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g3 = [2; I(1); D(1); I(2); D(2); 3; 0]; % Axis - air
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g4 = [2; A(1); B(1); A(2); B(2); 1; 0]; % Outer ceramic
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g5 = [2; B(1); C(1); B(2); C(2); 1; 0]; % Outer ceramic
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g6 = [2; C(1); H(1); C(2); H(2); 1; 3]; % Top rim: (C-H) ceramic-air
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g7 = [2; H(1); F(1); H(2); F(2); 1; 3]; % Inner ceramic wall (H-F) ceramic-air
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g8 = [2; F(1); E(1); F(2); E(2); 1; 2]; % Inner ceramic bottom (F-E) ceramic-fluid
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g9 = [2; F(1); G(1); F(2); G(2); 2; 3]; % Fluid surface (F-G) fluid-air
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g10 = [2; G(1); I(1); G(2); I(2); 2; 3]; % Fluid surface (G-I) fluid-air
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g11 = [2; D(1); H(1); D(2); H(2); 3; 0]; % Air top boundary: (D-H) air-outside
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% Assemble geometry
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g = [g1 g2 g3 g4 g5 g6 g7 g8 g9 g10 g11];
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geometryFromEdges(model, g);
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% figure(1);
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% pdegplot(model, 'EdgeLabels','on', 'FaceLabels','on');
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% axis equal;
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% title('Geometry with edge and face labels');
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% Generate mesh, linear and 3 nodes per element
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mesh = generateMesh(model, 'Hmax', 0.002, 'GeometricOrder','linear');
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% figure(2);
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% pdemesh(model);
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% axis equal;
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% title('Generated mesh');
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%% Task 2: Direct solver with constant lambda
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nodes = mesh.Nodes; % coordinates of all mesh nodes
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elements = mesh.Elements; % which nodes make up each triangle element
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Nnodes = size(nodes,2);
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Nelems = size(elements,2);
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% Define material properties (for simplicity, lambda = 1 everywhere)
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lambda = ones(Nelems,1); % thermal conductivity
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% Initialize global stiffness matrix and RHS
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K = sparse(Nnodes, Nnodes);
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F = zeros(Nnodes,1);
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% Assemble K and F
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for e = 1:Nelems %Loop over each triangle element
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vert = elements(:,e); %nodes of element
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x = nodes(1,vert);
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y = nodes(2,vert);
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Ae = polyarea(x,y); % Compute area of the triangle
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% Linear triangle gradients
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b = [y(2)-y(3); y(3)-y(1); y(1)-y(2)]; % derivative with respect to x
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c = [x(3)-x(2); x(1)-x(3); x(2)-x(1)]; % derivative with respect to y
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% Element stiffness matrix
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Ke = (lambda(e)/(4*Ae)) * (b*b.' + c*c.');
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% Assemble
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K(vert,vert) = K(vert,vert) + Ke;
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% Element load vector (f=0)
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F(vert) = F(vert) + zeros(3,1);
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end
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% Find boundary nodes (couldn't find a better way)
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edgesAll = [elements([1 2],:), elements([2 3],:), elements([3 1],:)]; % all edges -> 2x(3*Nelems) awway since each triangle has 3 edges
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edgesSorted = sort(edgesAll,1); % sort nodes of each edge, ensure that [i,j] and [j,i] are the same
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[~,~,ic] = unique(edgesSorted','rows'); % identifies unique edges and assignes indices ic
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counts = accumarray(ic,1); % counts how many times each edge appears in the mesh
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boundaryEdges = find(counts==1); %edges belonging to only 1 element: hence on the boundary
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boundaryNodes = unique(edgesSorted(:,boundaryEdges)); % nodes belonging to these boundary edges
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% Direct solver
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% Enforce Dirichlet BC strongly
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K(boundaryNodes,:) = 0;
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K(:,boundaryNodes) = 0;
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K(boundaryNodes,boundaryNodes) = speye(length(boundaryNodes));
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F(boundaryNodes) = 0;
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% Direct solve
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u = K \ F;
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% figure(3)
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% pdeplot(model, 'XYData', u, 'Mesh','on');
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% axis equal;
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% title('Stationary Dirichlet solution');
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% colorbar;
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%% Task 3: Laplace with multiple lambdas
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[K, F] = CalculateLaplace_mult(model, lambda_wall, lambda_fluid, lambda_air);
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% Enforce Dirichlet BC strongly
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K(boundaryNodes,:) = 0;
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K(:,boundaryNodes) = 0;
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K(boundaryNodes,boundaryNodes) = speye(length(boundaryNodes));
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F(boundaryNodes) = 0;
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% Direct solve
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u = K \ F;
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% % Plot solution
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% figure(4)
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% pdeplot(model,'XYData',u, 'Mesh','on');
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% axis equal
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% title('Task 3: Stationary solution with multiple conductivities');
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% colorbar
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%% Task 4: Robin boundary condition
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[K, F] = CalculateLaplace_mult(model, lambda_wall, lambda_fluid, lambda_air);
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[K, F] = ApplyRobinBC_mult(model, K, F, alpha, u_out);
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% Direct solve
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u = K \ F;
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% figure(5)
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% pdeplot(model, 'XYData', u, 'Mesh','on');
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% axis equal
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% title('Task 4: Stationary solution with Robin BC');
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% colorbar
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%% Task 5: Axisymmetric Laplace + Robin BC
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[K, F] = CalculateLaplace_mult_rot(model, lambda_wall, lambda_fluid, lambda_air);
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[K, F] = ApplyRobinBC_mult_rot(model, K, F, alpha, u_out);
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% Direct solve
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u = K \ F;
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% figure(6)
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% pdeplot(model, 'XYData', u, 'Mesh','on');
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% axis equal
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% title('Task 5: Axisymmetric stationary solution with Robin BC');
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% colorbar
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%To see it in 3D paste here the code in "AdditionalPlotCodes.txt".
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%% Task 6: Axisymmetric mass matrix
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M = sparse(Nnodes, Nnodes);
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M = AddMass_mult_rot(model, M, c_wall, c_fluid, c_air);
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%% Task 7: Initial solution
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u0 = Init_Solution_mult(model, 18, 80, 18);
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% figure(7)
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% pdeplot(model, 'XYData', u0, 'Mesh','on');
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% axis equal
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% title('Initial temperature distribution');
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% colorbar
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%% Task 8: Time-dependent simulation (explicit scheme)
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tau = 0.5; % time step in seconds
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T_end = 400; % total simulation time (seconds)
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Nt = ceil(T_end/tau); % number of time steps
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A = (1/tau)*M+K; % Left-hand side matrix
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u = u0;
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for k = 1:Nt
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b = (1/tau)*M*u + F; % F is the load vector, F=0
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u_next = A\b;
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u = u_next; % Update
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if mod(k,20) == 0
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% figure(8)
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% pdeplot(model, 'XYData', u, 'Mesh','on');
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% axis equal
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% title(['Temperature at t = ', num2str(k*tau), ' s']);
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% colorbar
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% drawnow
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end
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end
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%To see the 9 snapshots paste here the codes in "AdditionalPlotCodes.txt"
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%% Task 9 (i): Heating time using inner ceramic wall temperature
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T_target = 67; % [°C]
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[K, F] = CalculateLaplace_mult_rot(model, lambda_wall, lambda_fluid, lambda_air);
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[K, F] = ApplyRobinBC_mult_rot(model, K, F, alpha, u_out);
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A = (1/tau)*M+K; % Left-hand side matrix
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innerWallNodes = findNodes(model.Mesh,'region','Edge',8); % Edge 8 = ceramic–fluid interface
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u = u0;
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% Storage
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timeVec = (0:Nt-1)' * tau;
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innerWallTemp = zeros(Nt,1);
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Twarm = NaN;
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for k = 1:Nt
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b = (1/tau)*M*u + F;
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u = A\b;
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% Average inner wall temperature
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innerWallTemp(k) = mean(u(innerWallNodes));
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% Check heating criterion
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if innerWallTemp(k) >= T_target
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Twarm = k * tau;
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fprintf('Task 9 (i): Inner wall reaches %.1f°C at T = %.1f s\n', ...
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T_target, Twarm);
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break
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end
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end
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% figure(9)
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% plot(timeVec(1:k), innerWallTemp(1:k), 'LineWidth', 2)
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% hold on
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% yline(T_target,'r--','67°C','LineWidth',1.5)
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% xlabel('Time [s]')
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% ylabel('Average inner wall temperature [°C]')
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% title('Heating of the inner ceramic wall')
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% grid on
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%% CHECK: Insulated mug – transient redistribution
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[K_neu, F_neu] = CalculateLaplace_mult_rot(model,lambda_wall,lambda_fluid,lambda_air);
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M_neu = sparse(Nnodes, Nnodes);
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M_neu = AddMass_mult_rot(model,M_neu,c_wall,c_fluid,c_air);
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% Time stepping parameters
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tau = 0.5;
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T_end = 400;
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Nt = ceil(T_end / tau);
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A_neu = (1/tau) * M_neu + K_neu;
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% Initial condition
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u = u0;
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for k = 1:Nt
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b = (1/tau) * M_neu * u + F_neu;
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u = A_neu \ b;
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if mod(k,20) == 0
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% figure(10)
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% pdeplot(model, 'XYData', u, 'Mesh','on');
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% axis equal
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% title(['Insulated mug, t = ', num2str(k*tau), ' s']);
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% colorbar
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% drawnow
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end
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end
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