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Otto Cycle PV diagram and efficiency

Function to calculate the piston kinematics function [V] = otto_cycle_piston_kinematics(bore,stroke,con_rod,cr,start_crank,end_crank) %inputs theta = linspace(start_crank,end_crank,100); a=stroke/2; R = con_rod/a; v_swept = (pi/4)*bore^2*stroke; v_clearence = v_swept/(cr-1); %the volume of the piston can be calculated…

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    Read more Projects by Pritesh Lunkad (9)

    Flow over a cylinder

    Objective:

    Simulating the flow over a cylinder with different reynolds number A cylinder is designed in solidworks of the following dimensions Diameter = 40mm Length = 50mm The formula to calculate the value of velocity for different reynolds number is given as, The simulation is carried out for 3 different reynolds number Re=20,40,100,…

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    21 Sep 2018 09:13 AM IST

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      Pipe flow simulation

      Objective:

      A pipe is designed in solidworks of the following dimensions, to perform the simulation External diameter = 50mm Internal  diameter = 48mm Length = 1000mm Thickness = 1mm The characteristics of the fluid which is flowing inside the pipe are as follows, Fluid : water Dynamic viscosity : 0.001792 kg/ms (at 0°C…

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      05 Sep 2018 08:12 AM IST

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        Project -1 Parsing NASA thermodynamic data

        Objective:

        NASA  came up with polynomials that can be used to evaluate thermodynamic properties such as Cp, H and S using polynomials. They have also documented the co-efficients that are required to evaluate these polynomials for 1000+ species. The program that can read the high and low temperature data from the given data…

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        03 Aug 2018 05:57 AM IST

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          Matlab program to calculate the global maxima of a stalagmite function

          Objective:

          A genetic algorithm is a method of solving optimization problems by the concept of theory of evolution proposed by Charles Darwin. This algorithm is used to calculate the global minimum or global maximum of a function. The working of a genetic algorithm is given below  1. The algorithm randomly selects members from…

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          02 Jul 2018 09:28 AM IST

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            Second order ODE

            Objective:

            Video of moving pendulum https://youtu.be/kDixJr7sMAU   The code for solving the second order ODE, clear all close all clc %inputs b=0.5; g=9.81; l=1; m=1; %initial conditions theta_0=[0;3]; %time plots 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);…

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            30 Jun 2018 11:17 AM IST

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              Curve fitting

              Objective:

              Q1>Write code to fit a linear and cubic polynomial for the Cp data. Explain if your results are good or bad.  The code to fit a linear polynomial for the given cp data is given below, clear all close all clc %preparing the data cp_data = load ('data') temperature = cp_data(:,1); specific_heat = cp_data(:,2); %curve…

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              30 Jun 2018 07:58 AM IST

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                Simulation of a 2R robotic arm

                Objective:

                %forward Kinematics animation animation of a 2r robotics arm clear all; close all; clc; %inputs l1=1; l2=0.5; theta1 = linspace (0,90,4); theta2 = linspace (0,90,4); ct=1; for i=1:length(theta1) THETA1= theta1(i); for j=1:length(theta2) THETA2 =theta2(j); %coordinates x0 = 0; y0 = 0; x1 = l1*cosd(THETA1); y1 = l1*sind(THETA1);…

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                29 Jun 2018 04:15 AM IST

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                  Otto Cycle PV diagram and efficiency

                  Objective:

                  Function to calculate the piston kinematics function [V] = otto_cycle_piston_kinematics(bore,stroke,con_rod,cr,start_crank,end_crank) %inputs theta = linspace(start_crank,end_crank,100); a=stroke/2; R = con_rod/a; v_swept = (pi/4)*bore^2*stroke; v_clearence = v_swept/(cr-1); %the volume of the piston can be calculated…

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                  01 Jun 2018 04:23 AM IST

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                    Matlab program to analyze the flow over a bicycle

                    Objective:

                    % Program to calculate the drag force on a bicycle clear all close all clc %inputs %drag coefficient c_d = 0.8; %velocity m/s v= [1:40]; %density m^3/s d= 1.2; %area m^2/s a=0.1; %drag force calculation drag_force = d*a*v.^2*c_d*0.5; %plotting figure(1) plot(v,drag_force) title('Velocity (vs) Drag force') xlabel('Velocity')…

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                    01 Jun 2018 04:09 AM IST

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