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Solving the steady state 2D heat conduction problem

The purpose of this project is to implement point iteratives techniques such as Jacobi,Gauss Seidel and Successive Over-Relaxation to the 2D heat conduction equation respectively.   STEADY STATE SOLUTION Derivation When in the case of a steady state solution, convection, internal heat conduction and dissipation is…

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    Read more Projects by Jennifer Paul (9)

    Problem set 3 -week 3 challenge

    Objective:

    The following table delineates the given conditions from which the required parameters are calculated. Utilizing the above expressions, the respective formulae (found on the tabulation below) were used to obtain the parameters required in the question. It was found that the desired anti-roll bar stiffness (F_arb) was lower…

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    21 Jan 2021 04:05 PM IST

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      Problem set 2 -week 3 challenge

      Objective:

      1. The following parameters were given as inputs for the given challenge and the respective variables are assigned.    The tire is assumed to be infinitely rigid. 1. NO COMPENSATION: In order to calculate the pitching motion, we start by calculating the Load transfer in lbs, given by the formula tabluted…

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      15 Jan 2021 05:17 PM IST

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        SIMULATION OF 1D SUERSONIC NOZZLE FLOW USING MACCORMACK METHOD

        Objective:

        OBJECTIVE: To implement Conservative and Non Conservative forms in form of code to solve the 1D Suersonic nozzle flow problem  To perform a grid dependance test for n=31 and 61  and calculate the mass flow rate between the two and see which of the two forms is faster. BACKGROUND: The flow coming through the Inlet…

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        24 Jul 2019 10:59 AM IST

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          Understanding Linear systems

          Objective:

           TARGET OF THE PROJECT: To determine the Eigen values and spectral radius of the iterative matrix using iterative methods such as Jacobi,Gauss Seidel and SOR methods and observing the changes being made to the spectral radius by changing the magnification factor of the diagonal matrix in increments of 1.1. EIGEN VALUES…

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          15 Jun 2019 10:14 AM IST

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            Transient Analysis

            Objective:

            TRANSIENT STATE ANALYSIS The 2D heat conduction for the transient state is given by `(delT)/(delt)- alpha((del^2T)/(delx^2)+(del^2T)/(dely^2))=0`   discretizing the temporal terms by forward differencing `(delT)/(delt)=(T^(n+1)i,j-T^ni,j)/(Deltat)` discretizing the spatial terms by central differencing `(del^2T)/(delx^2)=…

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            23 May 2019 02:23 AM IST

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              Solving the steady state 2D heat conduction problem

              Objective:

              The purpose of this project is to implement point iteratives techniques such as Jacobi,Gauss Seidel and Successive Over-Relaxation to the 2D heat conduction equation respectively.   STEADY STATE SOLUTION Derivation When in the case of a steady state solution, convection, internal heat conduction and dissipation is…

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              14 May 2019 05:48 AM IST

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                Taylor table using matlab code

                Objective:

                  CENTRAL DIFFERENCING SCHEME: Since CDS uses points on either side, the equation is as follows `(del^2f)/(delx^2)~= a.f(i-2)+ b.f(i-1)+c.f(i)+d.f(i+1)+e.f(i+2)`  (assuming this is equation 1) The taylor table is tabulated below                 f(i)     …

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                02 May 2019 11:24 AM IST

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                  Linear Convection-Challenge 2

                  Objective:

                  THE EFFECT OF TIME STEP ON THE SOLUTION: Given n=80;  t=0.4 s at time steps 1e-1,1e-2,1e-3 and 1e-4. Below is a graph comparing the various timesteps versus solution time.       The solution with timestep 1e-2 is shown to have minimal simulation time whereas the solution with  1e-4 as its timestep…

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                  02 May 2019 08:56 AM IST

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                    Linear Convection -Challenge 1

                    Objective:

                    The 1 Dimensional wave equation is given by `(delu)/(delt)+c.(delu)/(delx)=0` The following are the parameters given: `=1 m; c=1; dt=0.01; n=20,40,80 and 160`             dt.nt=0.4 s The following are the results obtained after the code is run for different values of n and dx. 1) For…

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                    01 May 2019 04:42 AM IST

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