Introduction to CFD (computational fluid dynamics) using Python and Matlab

                                                                                  Quarter Car model …

                                                             Introduction to GT Suite Effective utilization of simulation software with human intelligence is required…

`(delomega_x)/(delt) = [(2*a^2)/(a^2+c^2)-(2*a^2)/(a^2+b^2)]*omega_z*omega_y+P_osin(t)*(2*a^2)/(a^2+b^2)*omega_Z+(2*a^2)/(a^2+c^2)*omega_y+P_osin(t)+ L*tau_x`   `(delomega_y)/(delt) = [(2*b^2)/(a^2+b^2)-(2*b^2)/(b^2+c^2)]*omega_x*omega_z+P_ocos(t)*(2*b^2)/(a^2+b^2)*omega_Z-(2*b^2)/(b^2+c^2)*omega_x+P_ocos(t)+ L*tau_y`…

                                                                         Introduction to CI engines Compression - ignition or diesel engine…

Computational Fluid Dynamics :  The term computational refers to one of the pathways to solve the fluid flow equations. the other possible pathways are experimental fluid dynamics and theoretical fluid dynamics. In experimental fluid dynamics, various experimental techniques are employed to determine the fluid flow…

                                        Pacjeka Magic Tyre model   Pacjeka Magic Tyre model was developed by Prof.Hans Bastiaan Pacejka and it is widely used to represent empirically and interpolate previously measured…

                                                         Introduction to Model-Based Development/Design(MBD)   MBD is a combination of modelling, simulation and validation.…

Computational Fluid Dynamics :  The term computational refers to one of the pathways to solve the fluid flow equations. the other possible pathways are experimental fluid dynamics and theoretical fluid dynamics. In experimental fluid dynamics, various experimental techniques are employed to determine the fluid flow…

clear all close all clc %% Getting the inputs sorted out % Total Number of Grid Points N = 5; % Domain length L = 0.5; % Grid spacing h = (L/N); % Spacial location (for exact soltion) x = 0:0.001:L; % Thermal conductivity k = 1000; % Area A = 10*10^-3; % Boundary conditions T_a = 100; T_b = 500; % initializing the tempetature…

    clear all close all clc %% Defining the problem domain n_points = 101; % no_of_points dom_length = 1; h = dom_length/(n_points-1); x = 0:h:dom_length; %X domain span y = 0:h:dom_length; %Y domain span dt = 0.05; %Time advancement tau = 0.001; %Dual timestep Re = 100; %Reynolds number delta = 10; %Artificial…

clear all close all clc %% Definig the Problem Domain n_points = 101; dom_length = 1; h = dom_length/(n_points-1); x = 0:h:dom_length; % x domain space y = 0:h:dom_length; % y domain space % Initializing the problem T(1,1:n_points) = 1; T(1:n_points,1) = 1; T_new(1,1:n_points) = 1; T_new(1:n_points,1) = 1; rho = 1; u =…

clear all close all clc %% Definig the Problem Domain n_points = 101; dom_length = 1; h = dom_length/(n_points-1); x = 0:h:dom_length; % x domain space y = 0:h:dom_length; % y domain space % Initializing the problem T(1,1:n_points) = 1; T(1:n_points,1) = 1; T_new(1,1:n_points) = 1; T_new(1:n_points,1) = 1; rho = 1; u =…

clear all close all clc %% Defining the Mesh n_points = 50; dom_size = 1; h = dom_size/(n_points - 1); dt = 0.0001; alpha = dt/(h*h); %% Initializing the problem y(n_points, n_points) = 0; y(1,:) = 1; y_new(n_points , n_points) = 0; y_new(1,:) = 1; error_mag = 1; error_req = 1e-6; iterations = 0; %% Tracking the error…

clear all close all clc %%Defining the Mesh n_points = 5 ; % Total number of points dom_size = 1; % Size of the Domain h = dom_size/(n_points - 1); % Space between each grid % Initializing the Problem y(1) = 0; y(n_points) = 1; y_new(1) = 0; y_new(n_points) = 1; error_mag = 1; error_req = 1e-7; iterations = 0; %%Calculations…

    The Taylor series can be used to calculate the value of an entire function at every point, if the value of the function, and of all of its derivatives, are known at a single point.   clear all close all clc % Defining the function poly_p = [3 5 7]; % Derivating the function theoritically…

                                                Introduction to LS-Dyna What is Engineering? and the importance of CAE (Computer-Aided Engineering). Engineering acts as a bridge between the researcher…

                                                                         Introduction to CI engines Compression - ignition or diesel engine…

Objective: Static Analysis of Spur Gear using ductile material to identify stress, strain and contact pressure using Ansys. Case Setup and Execution: CAD Model of spur gear is obtained from the open source.  Material is assigned as cast iron from library and Cast steel and bronze- cast which are manually defined from…

Objective: Static Analysis of plate with holes to identify stress and displacements using Ansys. Case Setup and Execution: CAD Model of spur gear is obtained from the open source.  Material is assigned as structural steel. Automatic mesh with element size 6.5mm is defined to create the fine mesh. Total elements obtained…

Introduction:  The main reason for the Aerodynamic analysis is to determine the drag coefficient of the vehicle which affects fuel consumption, predict low and high-pressure areas, separation points and downforce which affects Vehicle dynamics. Airfoils were found in Air crafts, helicopters, racecars,  propellers,…

    Published _Journal_on_Flexible_Body_Simulation https://drive.google.com/file/d/18AACyt91o3EUfaZ3ctlrk5r5FuP4nnAg/view   Introduction to Flexible bodies. It is a well-known fact that FEA models contain a higher number of degrees of freedom. Hence it is difficult for the MBD solvers to handle these models.…

                                                                       Handling The cornering behaviour of the vehicle is an important performance…

                                                  Data Hierarchy  in Msc Adams Car   MSc Adams Car provides a large variety of subsystems, templates and assemblies. Group of templates becomes…

1. Explore the GUI of GT SUITE and list down modules available with a brief description.  GT SUITE is a 1D simulation tool developed by Gamma technologies. GT-SUITE is the industry-leading simulation tool with capabilities and libraries aimed at a wide variety of applications and industries It offers engineers…

                                                                 Tyre Modeling A tyre model is a mathematical or an empirical representation of the mechanism…

                                                   Combined Slip Condition   So far, in the longitudinal brush tyre model and lateral brush tyre model, the longitudinal and lateral slip…

                                                        Introduction to Matlab Matlab is a high-level programming language and is widely used software in Automotive Embedded software…

Aim:  The main aim of this project is to write a Python program for Engine parameters of an Otto cycle engine whose variables like Inlet temperature(T1), pressure(p1) and temperature(T3) at the end of expansion are defined and other parameters are computed with respective formulas. The Engine design parameters like…

                                        Multi-Body Dynamics (MBD/MBS)    Definition: Multibody Dynamics(MBD) or Multibody systems (MBS) simulation is the study of the motion of mechanical systems caused by external…

Aim: The main aim of this project is to write a Matlab program for Engine parameters of an Otto cycle engine whose variables like Inlet temperature(T1), pressure(p1) and temperature(T3) at the end of expansion are defined and other parameters are computed with respective formulas. The Engine design parameters like bore,…

Introduction: Cam Mechanism The transformation of one of the simple motions, such as rotation, into any other motions, is often conveniently accomplished by means of a cam mechanism. A cam mechanism usually consists of two moving elements, the cam and the follower, mounted on a fixed frame. Cam devices are versatile,…

Introduction: Contact Forces in MotionSolve MotionSolve contains a very sophisticated contact modelling capability that can handle complex contact scenarios between rigid bodies. Creating contact is rather simple: The user can identify geometries on one body that can contact a different set of geometries on a second body.…

""" Demaonstrating file parsing in Python """ #import modules import matplotlib.pyplot as plt # Basic initialization line_count = 1 crank = [] pressure = [] temperature = [] volume = [] # File parsing starts here for line in open('engine_data.out'): if '#' not in line: crank.append(float(line.split()[0])) pressure.append(float(line.split()[1]))…

                                        Pacjeka Magic Tyre model   Pacjeka Magic Tyre model was developed by Prof.Hans Bastiaan Pacejka and it is widely used to represent empirically and interpolate previously measured…

Introduction: Mechanism and Machine: A mechanism is a constrained kinematic chain. This means that the motion of any one link in the kinematic chain will give a definite and predictable motion relative to each of the others. Usually, one of the links of the kinematic chain is fixed in a mechanism. Whereas a  machine is…

https://drive.google.com/open?id=1fwUD51RZwwggi74Q5qTWOoMFb13gbYAL  

import numpy as np from scipy.integrate import odeint import matplotlib.pyplot as plt import math # function that returns dz/dt def model(theta,t,b,g,l,m): theta1 = theta[0] theta2 = theta[1] dtheta1_dt = theta2 dtheta2_dt = -(b/m)*theta2 - (g/l)*math.sin(theta1) dtheta_dt = [dtheta1_dt, dtheta2_dt] return dtheta_dt b…

https://drive.google.com/open?id=1I10K4HnYVCSfjqxpsufLrzqYfs_AVgbE

import numpy as np import matplotlib.pyplot as plt from scipy.optimize import curve_fit #curve fit function def func(t, a, b, c): return a*pow(t,2) + b*t + c # Reading thermodynamic data file def read_file(): temperature = [] cp = [] for line in open('data', 'r'): values = line.split(',') temperature.append(float(values[0]))…

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                                                                                      Bounce Pitch Model…