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Solving Quasi 1D Nozzle Flows through Conservative and Non-Conservative forms Macormack Method

Objective: Solving Quasi 1D Nozzle Flows through Conservative and Non-Conservative Methods. I\'ll also be focussing on the importance of grid number in the convergence also the computation time. (Theory - John D Anderson COMPUTATIONAL FLUID DYNAMICS) Physical Aspects and the Assumptions of the flow: We consider the steady,…

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Read more Projects by Rathish Gupta (8)

Solving Quasi 1D Nozzle Flows through Conservative and Non-Conservative forms Macormack Method

Objective:

Objective: Solving Quasi 1D Nozzle Flows through Conservative and Non-Conservative Methods. I\'ll also be focussing on the importance of grid number in the convergence also the computation time. (Theory - John D Anderson COMPUTATIONAL FLUID DYNAMICS) Physical Aspects and the Assumptions of the flow: We consider the steady,…

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22 Feb 2020 08:27 AM IST

  • CFD
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Understanding Linear Systems

Objective:

Solving a Linear System Equations: AX = B through Jacobi. Gauss-Seidel and SOR Methods Objectives of the Project: 1) Determining Eigenvalues, Spectral Radius of an iteration matrix 2) Solve the X Matrix through three solving methods 3) Establishing the relationship between the Spectral radius and convergence of the solver.…

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08 Feb 2020 07:59 AM IST

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    Solving the ODE using ode functions and animating the motions as per this ode

    Objective:

    To write a program that could solve the second-order ode through 'ode' function. The equation which needs to be solved is    `(d^2theta)/(dt^2) + (b/m)(d(theta))/dt +(g/l)sintheta = 0` where theta is angular displacement b = dampingm = massg = gravityl = lengthIt is given that, initial angular velocity is = 3…

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    05 Feb 2020 06:54 AM IST

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      Solving 2D Heat Conduction Equation in both steady and transient case using iterative solvers

      Objective:

      Thie task is to solve 2D Heat Conduction equation  `(del T)/(del t) = ((del^2T)/(del x^2) +(del^2T)/(del x^2))*K` where K is the thermal diffusivity Assumptions in the equation: Internal heat generation is zero which implies a change of heat flow from one to another side is converted into internal energy. Abstract:…

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      10 Jan 2020 04:15 AM IST

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        Linear Convection Solving and grid size effect on it

        Objective:

        Background: The wider perspective is to solve the 1-dimensional linear convection equation. This comes from the two-dimensional momentum equation assuming the same shape to make it a simpler PDE.  `(∂u)/(∂t)+c(∂u)/(∂x)=0` Aim: Our objective is to solve the PDE through MatLab code and compare the…

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        08 Oct 2019 03:15 AM IST

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          Program that compares the first, second and fourth order approximations of the first derivative against the analytical or exact derivative.

          Objective:

          The Project aims to show two things 1)  error of first order, second order and fourth order with analytical derivative 2)  comparison in between different order approximations 1-Step: Initially, the code started with inputting variables x and dx while x value has been mentioned in the question as pi/3. While…

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          03 Oct 2019 04:12 AM IST

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            Comparison of the first, second and fourth-order error approximations for first-order differential equation

            Objective:

            Title: Comparison of the first, second and fourth-order error approximations for first-order differential equation Initially, the problem solving started with giving input variables. There are two variables x and dx while I assumed `x=pi/3` (a constant value). 'dx' is a variable in this comparison project. So, I have…

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            03 Oct 2019 04:06 AM IST

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              Deriving the fourth-order approximation for second-order derivative through the central skewed right and skewed left differencing schemes Subsequently evaluating their errors

              Objective:

              Title: Deriving the fourth-order approximation for second-order derivative through the central, skewed right and skewed left differencing schemes. Subsequently evaluating their errors Function: `exp(x)*cos(x)` Firstly, Central differencing derivation through Taylor table Here You get 5 equations and we have 5…

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              03 Oct 2019 03:54 AM IST

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