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