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  1. Home/
  2. Utkarsh Palwekar /
  3. Python: Solving Second Order ODEs

Python: Solving Second Order ODEs

AIM: To write a program for simulating the transient behaviour of a simple pendulum OBECTIVES: Solve the second order ODE for the motion of a simple pendulum. Generate a plot for its angular displacement and angular velocity wrt time. Create an animation for the motion of the pendulum. GOVERNING EQUATION: Ordinary…

    • Utkarsh Palwekar

      updated on 14 Jul 2020

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    Read more Projects by Utkarsh Palwekar (28)

    Flow simulation for flow over a cylinder with different inlet velocity

    Objective:

    AIM: Perform flow simulation on a cylinder with different inlet velocity and corresponding to their Reynolds number. OBJECTIVE: Calculate the Reynolds number for different inlet velocity. Perform flow simulation on cylinder with different inlet velocity corresponding to their different Reynolds number. Obtain velocity…

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    12 Mar 2021 11:49 AM IST

    • CFD
    Read more

    MBD Simulation on IC Engine Valve Train

    Objective:

    AIM: To study the motion analysis of IC Engine valve train using SOLIDWORKS MOTION. OBJECTIVES: Design all the components Assembly all the components Perform motion analysis on the assembly Obtain plots for Valve Lift & the contact force between Cam and Push Rod, Pushrod and Rocker Arm, Rocker Arm and Valve Compare…

    calendar

    12 Mar 2021 11:26 AM IST

    • SOLIDWORKS
    Read more

    Python: Breaking Ice with Air cushion Vehicle - Find minimum pressure with Newton-Raphson method

    Objective:

    AIM: Write a python script to solve for the minimum value of pressure using the Newton-Raphson method. OBJECTIVES: To use the Newton Raphson method to find out the value of pressure for h = 0.6. To find the optimal relaxation factor for this problem with the help of a suitable plot. To tabulate the results of p for h =…

    calendar

    12 Mar 2021 11:17 AM IST

      Read more

      Constraint Minimization

      Objective:

      AIM: To minimize a function subject to a constraint. OBJECTIVES: Minimize the following function 5-(x-2)^2 -2(y-1)^2  subject to the following constraint x + 4y = 3 THEORY: In mathematical optimization, the method of Lagrange multipliers is a strategy for finding the local maxima and minima of…

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      14 Jul 2020 10:55 AM IST

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