% 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  = 1.5;    % ceramic 
lambda_fluid = 0.6;    % water 
lambda_air   = 0.026;  % air
%Task 4) heat transfer coefficient
alpha=10;
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  = 1085;
cp_fluid = 4186;
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 - ceramic
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;
% hold on;
% 
% % Plot points
% Pts = [A; B; C; D; E; F; G; H; I];
% plot(Pts(:,1), Pts(:,2), 'ro', 'MarkerFaceColor','r');
% % Label points
% labels = {'A','B','C','D','E','F','G','H','I'};
% for k = 1:length(labels)
%     text(Pts(k,1), Pts(k,2), ['  ' labels{k}], ...
%         'FontSize',10, 'Color','r', 'FontWeight','bold');
% end
% title('Geometry with edge, face, and point labels');
% hold off;

%  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);
% TRY WITH HOTTER LIQUID 

% figure(7)
% pdeplot(model, 'XYData', u0, 'Mesh','on');
% axis equal
% title('Initial temperature distribution');
% colorbar

%% Task 8: Time-dependent simulation (explicit scheme)
tau = 1;              % time step in seconds 
T_end = 1000;            % 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"
M = sparse(Nnodes, Nnodes);
M = AddMass_mult_rot(model, M, c_wall, c_fluid, c_air);

%% Task 9 (i): Heating time using inner ceramic wall temperature
T_target = 67;   % [°C]

tau = 0.1;              % time step in seconds 
T_end = 1000;            % total simulation time (seconds)
Nt = ceil(T_end/tau);   % number of time steps

[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 = unique([findNodes(model.Mesh,'region','Edge',8), findNodes(model.Mesh,'region','Edge',9)]);
%innerWallNodes = findNodes(model.Mesh,'region','Edge',9);

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;

    innerWallTemp(k) = mean(u(innerWallNodes));
    %innerWallTemp(k) = max(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 = 100;
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