[PYTHON]-Motion of a simple pendulum

Objective:  Design a Centrifugal Pump (CF Pump) and run flow simulation through it. Obtain the relationship between Pressure and Mass flow rate and explain the result. Procedure: The Impeller was designed using a blueprint from the internet but the casing was designed using approximations. Images for the same are…

All the steps have been mentioned in the code itself.   clear all close all clc %assigning fixed parameter b=0.05; g=9.81; l=1; m=1; %initial conditions theta_0=[0;3]; %time points t_span=linspace(0,20,500); %solve ODE [t, results] = ode45(@(t,theta) ode_func(t,theta,b,g,l,m),t_span, theta_0); %animation %limits of…

Objective:  For this project, you will create a 3D model of a flow bench and run flow analysis. You will be obtaining a plot of lift vs mass flow rate You need to do the following Grid dependence test For five grids run your simulation at a particular valve lift and explain your results Effect of valve lift on the…

Objective:  Simulate the flow over a cylinder : Calculate the baseline case Reynolds number.  Re = rho*U_inlet*D/mu D = cylinder diameter mu = dynamic viscosity rho = density Run a baseline simulation and then calculate the Reynolds number. Then increase the Reynolds number by a factor of 20%, 40%, and 100% then…

Objective: Write a program to simulate the transient behavior of a simple pendulum and to create an animation of its motion.Procedure:  The governing principle behind the simple movement of a pendulum can be broken down mathematically using a simple Ordinary Differential Equation (ODE). The ODE is given below…

Objective:  Model the flow over a NACA0017 airfoil For the angle of attacks 0,2,4,6,8,10 compare the lift and drag forces Procedure: The geometry for the airfoil was created using the coordinates provided along with the challenge. Similar geometries can also be found at http://airfoiltools.com/search/airfoils …

Objective: To run a pipe flow simulation with an inlet Reynolds number of 100,1000 and 10,000. Also, for each of the cases do the following. 1. Place line probes at 95%, 90% and 85% of the pipe length. 2. Compare the normalized velocity profile at each of these locations 3. Normalize the velocity profile by the inlet velocity.…

Objective: Our task is to write a script that does the following. The script should take column numbers as the input and plot the respective columns as separate images. Each file should be saved by the name of the column. The plot labels should be extracted from the file. If someone requests for a plot between column…

Objective: To determine the minimum cushion pressure needed to break a given thickness of ice using an air cushion vehicle, Muller (“Ice Breaking with an Air Cushion Vehicle”) using the following equation :`p^3*(1-beta^2) + (0.4*h*beta^2 - (sigma*h^2)/r^2)*p^2 + ((sigma^2*h^4)/(3*r^4))*p - ((sigma*h^2)/(3*r^2))^3`…

Objective: Writing a code in python which can solve the Otto cycle as well as make plots for it. making a P-V diagram of the cycle. calculating the thermal efficiency of the cycle.  Introduction: The air-standard-Otto cycle is the idealized cycle for the spark-ignition internal combustion engines. This cycle is shown…

Objective:  To read data from a given file and use curve fitting to analyze the data properly. Also, we have to solve the set of questions given below as part of the challenge : What does popt and pcov mean? What does np.array(temperature) do? What does the * in *popt mean? What needs to be done in order to make the…

Introduction: This project deals with extracting relevant information from a data file and using that information to solve the following challenges. Extracting 14 coefficients from the file and using them in order to calculate the gas properties of various elements using the local temperature ranges. Using the gas properties…

Genetic algorithm (GA):A genetic algorithm (GA) is a method for solving both constrained and unconstrained optimization problems based on a natural selection process that mimics biological evolution. The algorithm repeatedly modifies a population of individual solutions. At each step, the genetic algorithm randomly selects…