Mixing Efficiency of TEE Objective :-                 Your job is to set up steady-state simulations to compare the mixing effectiveness when hot inlet temperature is 360C & the Cold inlet is at 190C.  Use the k-epsilon and k-omega SST model for…

  Steady Vs Unsteady flow over a cylinder Objective :-                  Simulate the flow over a cylinder and explain the phenomenon of Karman vortex street.    PART-I Simulate the flow with the steady and unsteady case and calculate the Strouhal Number for Re=…

Aim: To simulate a case of ahmed body and check for grid independence of the solution. Objectives:  Describe Ahmed's body and its importance.  Explain the reason for the negative pressure in the wake region.   Explain the significance of the point of separation.  Expected Results: 1. Velocity and…

Objective: To perform a steady state Conjugate Heat Transfer (CHT) analysis on an exhaust manifold using ANSYS Fluent.   Conjugate heat transfer: Heat transfer in solids and heat transfer in fluids are combined in the majority of applications. This is because fluids flow around solids or between solid walls and because…

            Rayleigh Taylor Instability Challenge Objectives: some practical CFD models that have been based on the mathematical analysis of Rayleigh Taylor waves explain how these mathematical models have been adapted for CFD calculations. Perform the Rayleigh Taylor instability simulation…

        Conjugate Heat Transfer Analysis on a                                          graphics card   Aim: To Perform a steady-state conjugate heat transfer analysis on a model of a graphics…

Challenge on Gearbox Sloshing effect   Part 1: 20% Immersion, Fluid - Engine oil. 30% Immersion, Fluid- Engine oil. 20% Immersion,Fluid-n-heptane (c7h16). 30% Immersion,Fluid-n-heptane (c7h16).   Module:-   2D Gear :-   Mesh :-     UDF     Procedure & setup :- First of all…

            Cyclone Separator Challenge Aim: To perform analysis on cyclone separator and calculate the separation efficiency and pressure drop. Objective:- To write a few words about any four empirical models used to calculate the cyclone separator efficiency.  To perform an analysis…

AIM:  to perform a parametric study on the gate valve simulation by setting the opening from 10 % to 80% Objective: Obtain the mass flow rates at the outlet for each design point. Calculate the flow coefficient and flow factor for each opening and plot the graph. Discuss the results of the mass flow rate and flow…

Aim: To Perform a combustion simulation on the combustor model. Objective: plot the variation of the mass fraction of the different species’ in the simulation using line probes at different locations of the combustor . To plot for CO2, H2O, CH4, N2, O2, NOx emissions & Soot formation.  add the water content…

  RESULT 1 RESULT 2 Program 1 and 2 program 1 % program to calculate drag force against a cyclist % program to plot Velocity vs Drag force clear all close all clc % input % drag coffecient c_d = 1.8 % area(m^2) A = 0.55 % density(kg/m^3) rho =1.5 % velocity(m^2/s^2) v = [1:5] % output (drag force) drag_force= 0.5*rho*A*v.^2*c_d;…

  RESULT 1 RESULT 2 Program 1 and 2 program 1 % program to calculate drag force against a cyclist % program to plot Velocity vs Drag force clear all close all clc % input % drag coffecient c_d = 1.8 % area(m^2) A = 0.55 % density(kg/m^3) rho =1.5 % velocity(m^2/s^2) v = [1:5] % output (drag force) drag_force= 0.5*rho*A*v.^2*c_d;…

Program % animating moviefile forward kinematics of a 2r robatic arm manipulator clear all close all clc % input l1=1; l2=0.5; theta1=linspace(0,90,10) theta2=linspace(0,90,10) ct=1 for i=1:length(theta1) THETA1=theta1(i); for j=1:length(theta2) THETA2=theta2(j); x0=0; y0=0; x1=l1*cosd(THETA1); y1=l1*sind(THETA1); x2=x1+l2*cosd(THETA2);…

PROGRAM  :- clear all close all clc % state variable p1=101325 t1=500 % engine geometric parameters bore=0.1; stroke=0.1; con_rod=0.15; cr=12; %input gamma=1.4; t3=2500; % calculating the swept volume and the clearance volume v_swept=(pi/4)*bore^2*stroke; v_clearance=v_swept/(cr-1) v1=v_swept+v_clearance v2=v_clearance…

PROGRAME:- clear all close all clc % input variable % g = gravity m/s^2; % l = length of the pendulum in m; % m = mass of the ball kg; % b=damping coefficient; g=9.81; l=1; m=1; b=0.05; %initial condition theta_0=[0;3]; %time points t_span=linspace(0,20,200); %solve ode [t,results]=ode45(@(t,theta)ode_fun(t,theta,b,g,l,m),t_span,theta_0);…

  Curve fitting:- Curve fitting is the process of constructing the curve or mathematical function that has the best fit to a series of data points, The Polynomial equation for first three equation are. The first degree polynomial equation If the order of the equation is increased to a second degree polynomial,…

About genetic algorithm (GA):- In a genetic algorithm, a population of candidate solutions(called individuals, creatures, or phenotypes) to an optimization problem is evolved toward better solutions. Each candidate solution has a set of properties (its chromosomes or genotype) which can be mutated and altered; traditionally,…

   Parsing NASA thermodynamic data Objective :- Reading the 'NASA thermodynamic data file' and write the function that extracts the 14 coefficient and calculate the enthalphy , entrophy and specific heats for all the species Calculate the molecular weight of each species and display it in the command window.…

Title :-         staichiometric combustion calculation for alkane,alkene and alkyne fuels using following equation. Objective :- Here n = Number of moles of C ar = Stoichiometric co-efficient a = Number of moles of Carbon-di-oxide b = Number of moles of water c = Number of moles of nitrogen Introduction…

Programe :- clear all close all clc % input variable % g = gravity m/s^2; % l = length of the pendulum in m; % m = mass of the ball kg; % b=damping coefficient; g=9.81; l=1; m=1; b=0.05; %initial condition theta_0=[0;3]; %time points t_span=linspace(0,20,200); %solve ode [t,results]=ode45(@(t,theta)ode_fun(t,theta,b,g,l,m),t_span,theta_0);…

                Discretization basics Objective :-     Function programe :- 1.First order approximation :- % function for first order error calculation function output1 = first_order_approximate(x,dx) analytical_derivative = (x^3*(cos(x))- sin(x)*3*x^2)/x^6; num_first_order…

   Discretization basics for range of dx Objective :- Function programe :- First order approximation :- % function for first order error calculation function output1 = first_order_approximate(x,dx) analytical_derivative = (x^3*(cos(x))- sin(x)*3*x^2)/x^6; num_first_order = (sin(x+dx)/(x+dx)^3-sin(x)/x^3)/dx;…

   Taylor table method and Matlab code Observation :- Derive the following 4th order approximations of the second-order derivative.  1. Central difference 2. Skewed right-sided difference 3. Skewed left-sided difference Also, prove that your skewed schemes are fourth-order accurate.  Once you have…

               Linear Convection Introduction:- In 1D linear convection equation to observed the propagation of a square wave with time. Here, c is the velocity of propagation. The above equation is discretized using first order forward differencing in time (time-marching) and…

            Linear Convection Effect of time step size on the solution Objective:- Write a function that accepts the time step as an argument and solves the same problem. You will compare the effect of the time step on the numerical solution. 1. Set n = 80 2. Time steps to use = 1e-4,…

Solving the steady and unsteady 2D heat conduction problem   Observation :- 1. Assume that the domain is a unit square.  2. Assume nx = ny [Number of points along the x direction is equal to the number of points along the y direction] 3. Boundary conditions for steady and transient case  …

Steady-state Analysis        Unsteady state  Analysis :- Conclusion:- The steady state solver is obviously faster. beacause of the mathematical simplication problem will prove here. Theere is no thermal diffusivity and no time inntegration. If no numerical diffusion and solution will always be…

Implicit method :-  When a direct computation of the dependent variables can be made in terms of known quantities, the computation is said to be explicit. When the dependent variables are defined by coupled sets of equations, and either a matrix or iterative technique is needed to obtain the solution, the numerical…

    Understanding linear systems Objective:- A=[5 1 2 ; -3 9 4; 1 2 -7] X=[x1;x2;x3] B=[10 -14 33] Determine Eigen values of iteration matrix. Spectral radius of iteration matrix. Solve the system using Jacobi, Gauss-seidel and SOR methods Compute the iteration Matrix for the above mentioned iterative methods.…

1D Super-sonic nozzle flow simulation using Macormack Method Objective :- Your objective in this project is to write code solve the 1D supersonic nozzle flow equations using the Macormack Method. You will be implementing both the conservative and non-conservative forms of the governing equations Write separate functions…

Aim :-         To simulate the flow through a backward facing step & create multiple meshes and compare the results obtained from eash mesh for the following profile using icoFoam. Objective :- The number of cells along the direction of flow = 200 The number of cells along the y-direction for each…

       Simulation of Flow through                              a pipe in OpenFoam   Objective :- Reynolds number based on pipe diameter and inlet velocity should be 2100 Working fluid - water You need to calculate the length…

  Symmetry vs Wedge vs HP equation   Objetive :- You should have results obtained from solving the Hagen Poisuelle's equation You should have results obtained from simulating the pipe flow with the wedge BC You should obtain results for the pipe flow with symmetry BC Write a Matlab program that takes an angle…