MBD Simulation on IC Engine Valve Train

Aim To Create a 3D Model of Valve Train Assembly and perform motion analysis. Introduction Valve Train Assembly A valvetrain or valve train is a mechanical system that controls the operation of the intake and exhaust valves in an internal combustion engine. The intake valves control the flow of air/fuel mixture (or air…

Aim To Create an 3D Model of Reciprocating Piston Assembly and perform motion analysis. Introduction Piston Assembly Piston assembly consists of a piston, piston rings and piston pin known as gudgeon pin. It transmits force to the connecting rod and crankshaft. As piston is connected to small end of the connecting rod…

Aim To Create a 3D Model of Planetary Gear and perform motion analysis. Introduction Planetary Gear System A Planetary Gear System (also known as an epicyclic Gear System), consists of two gears mounted so that the center of one gear revolves around the center of the other. A carrier connects the centers of the two gears…

Aim To Create a 3D Model of the Internal Geneva Mechanism and perform motion analysis.   Introduction Internal Geneva Mechanism - It is a gear mechanism that translates a continuous rotation movement into intermittent rotary motion. The rotating drive wheel is usually equipped with a pin that reaches into a slot located…

Project Made By – Piyush Mishra   Aim To create a Data Visualizer Tool that plots various user defines curves by using Python Coding   Governing Equation For Basic Calculation like: WorkDone by the Piston cylinder = Area under PV Curve                …

Project Made By – Piyush Mishra   Aim The main purpose of this project is to see which polynomial curve fits the given curve using Python Coding   Governing Equation Curve Fitting  -->       Curve fitting is an optimization problem that finds a line that best fits a collection…

Project Made By – Piyush Mishra     Aim The main purpose of this project is to perform integration on Ordinary Differential Equations (ODEs) of simple pendulum via Python Coding     Governing Equations General Equation for Simple Pendulum (d2θ/dt2)  +  (c/m) (dθ/dt) …

Project Made By – Piyush Mishra     Aim The main purpose of this project is to construct a Pressure vs Volume diagram for Otto Cycle and finding its efficiency via Python Coding     Governing Equations There are few assumptions that need to be taken into account before constructing the PV diagram:-…

% Pendulum ODE % Inputs g = 9.81; %gravity in m/sec^2 L = 1; %Length in m m = 1; %mass in Kg b = 0.9; %damping coefficient %Initial Conditon x0 = [0;3]; ts = linspace (0,20,100); [t, R] = ode45(@(t,x) odef(t,x,b,g,L,m), ts, x0); ct=1; for q = 1:length(R(:,1)) j = R(:,1); J = j(q); a0 = 0; c0 = 0; a1 = L*sind(J); c1 = -L*cosd(J);…

% 2 arm robot %input l1 = 4; %length of arm 1 in m l2 = 1.5; %length of arm 2 in m x = linspace(0,360,30); %angle between base and arm 1 in degree y = linspace(270,90,200); %angle between base and arm 2 in degree ct=1; for p = 1:length(x) X = x(p); for q = 1:length(y) Y = y(q); x0 = 0; y0 = 0; x1 = l1*cosd(X); y1 = l1*sind(X);…

Function 1 (Drag force vs Velocity) % To Calculate Drag Force wrt velocity on Cyclist function [Fd1] = Force_on_cyclist_V_Fd(A,D) % Input Cd = 1.28; %drag coefficients considering shape to be flat plate shape V = 1:20; %Velocity of cyclist in m/s^2 Fd1 = Cd*A*D*V.*V.*0.5; plot(V, Fd1,\'color\',\'y\') grid on end Function…

Function 1 (Drag force vs Velocity) % To Calculate Drag Force wrt velocity on Cyclist function [Fd1] = Force_on_cyclist_V_Fd(A,D) % Input Cd = 1.28; %drag coefficients considering shape to be flat plate shape V = 1:20; %Velocity of cyclist in m/s^2 Fd1 = Cd*A*D*V.*V.*0.5; plot(V, Fd1,\'color\',\'y\') grid on end Function…

% P/V diagram of otto cycle % Inputs B = 0.45; %lenght of Bore in m S = 0.5; %lenght of Stroke in m R = 0.6; %lenght of Connecting Rod Cr = 8; %Compression Ratio % Volumes needed Vs = (pi/4)*B*B*S; Vc = Vs/(Cr-1); %Point 1 P1 = 95000; %Pressure is in N/m^2 V1 = Vs + Vc; T1 = 527; %Initial Temperature is in Kelvin %Point…

%Row Vector a = [134 353 346]   %Column Vector b= [765 543 654]   %Mix Matrix (3 Row & 3 Column) c = [5 4 3 ; 7 6 5 ; 3 2 3]