Simulation of a 1D Super-sonic nozzle flow simulation using Macormack Method

BlockMesh Drill down challenge: The classical backward facing step is most sought after problem in CFD. The following geometry represents the backward facing steps with boundry conditions. Mesh specification Number of cells along the x direction (longer dimension) = 200 Number of cells along the y direction = 10 Use a…

The main purpose of this project is to compare the different numerical schemes such as \"Conservative Form\" and \"Non-Conservative Form\" for 1D Subsonic-Supersonic Nozzle flow simulations. 1.  Assumption: Steady State & Isentropic flow Quasi 1D flow Inlet is a reserviour @ `P_{0}, T_{0}` Area of reserviour is `Ararroo`…

Steady and Unsteady 2D Heat Conduction by Explicit and Implicit method: Basically there are 3 types of heat transfer Conduction Convection Radiation Conduction: It is mode of heat transfer genrally occurs in solids due to temperature difference. It occurs due to  molecular lattice vibration Energy (30%) By free electron…

#commentThe code seems to be an exact representation of the reference code. There is also a glitch % main bodyclose allclear allclct = [0 20]yo = [0 3][t, y] = ode45('ode_pendulum',t,yo)subplot(5,4,[13,14,15,16]);plot(t,y(:,1),'color','r');hold on;plot(t,y(:,2),'color','b');hold off;subplot(5,4,[17,18,19,20]);plot(y(:,1),y(:,2));xlabel('position_Radians')ylabel('Angular_velocity');ct=1;for…

#commentThe code seems to be an exact representation of the reference code. There is also a glitch % main bodyclose allclear allclct = [0 20]yo = [0 3][t, y] = ode45('ode_pendulum',t,yo)subplot(5,4,[13,14,15,16]);plot(t,y(:,1),'color','r');hold on;plot(t,y(:,2),'color','b');hold off;subplot(5,4,[17,18,19,20]);plot(y(:,1),y(:,2));xlabel('position_Radians')ylabel('Angular_velocity');ct=1;for…

Effect of time step size on the solution:Objective:To represent the wave equcation for convection @ t = .4 Second for time step .1. .01. .001, .0001 in single plot.Ploting of simulation time for different time stepThe body of the program (time_step_dt) call for the function time_step_loop for different input values of…

Effect of time step size on the solution:Objective:To represent the wave equcation for convection @ t = .4 Second for time step .1. .01. .001, .0001 in single plot.Ploting of simulation time for different time stepThe body of the program (time_step_dt) call for the function time_step_loop for different input values of…

Effect of time step size on the solution:Objective:To represent the wave equcation for convection @ t = .4 Second for time step .1. .01. .001, .0001 in single plot.Ploting of simulation time for different time stepThe body of the program (time_step_dt) call for the function time_step_loop for different input values of…

Effect of time step size on the solution:Objective:To represent the wave equcation for convection @ t = .4 Second for time step .1. .01. .001, .0001 in single plot.Ploting of simulation time for different time stepThe body of the program (time_step_dt) call for the function time_step_loop for different input values of…

% main body close all clear all clc t = [0 20] yo = [0 3] [t, y] = ode45(\'ode_pendulum\',t,yo) subplot(5,4,[13,14,15,16]); plot(t,y(:,1),\'color\',\'r\'); hold on; plot(t,y(:,2),\'color\',\'b\'); hold off; subplot(5,4,[17,18,19,20]); plot(y(:,1),y(:,2)); xlabel(\'position_Radians\') ylabel(\'Angular_velocity\'); ct=1;…

% for Alkanes% n Number of moles of Carbon% a Number of moles of CO2% b Number of moles of water% c Number of moles of Nitrogen% 'ar' Stoichiometry ratioclear allclose allclcn = linspace(1,10,10);a = n;b = ((2*n)+2)/2;ar = (2*a+b)/2;c = ar*3.76;plot(n,ar,'linewidth',2)xlabel('Number_of_mole_carbon_dioxide')ylabel('Stoichiometry_ar')%…