Basics of Probability and Statistics Week 1 Challenge

AIM: To simulate and plot a free falling body(point mass) of mass 1kg and inertial properties 1 kgm^2 in the Y-axis(gravity should be 9.81m/s^2 in teh negative Y-Direction use dimension of length in meters not mm) A screenshot of the entire interface must be attached including the plot for all simulated cases.   QUESTION…

AIM - To carry out a motion analysis of a cam in block IC engine valve train using SOLIDWORKS MOTION. OBJECTIVES -     1.Run simulation using below paameters  cam lif = 3.5mm , cam speed = 1500RPM , material = cast carbon steel cam lif = 6 mm , cam speed = 1500RPM , material = cast carbon steel  …

AIM : To model all the parts of piston assembly and then assemble them in solidworks and run motion analysis. OBJECTIVE : To create 3D model of different components of piston assembly. To run motion study analysis for the following cases -  Sl.No  Wrist Pin Offset  Crank Speed (Rpm) 1 "0" mm 2000 2 10 mm…

AIM -  To run the motion analysis on the planetary gear with a sun gear a carrier and four planet gears. To access the gears from the toolbox in solidworks present in the ANSI metric system. Provide the required parameters for defining each and every gear. Designing the carrier depending upon the shaft diameter of…

AIM : Create 3D models for driver and driven wheels. Perform motion analysis by rotating the driver wheel at 10 rpm and 20 rpm. Obtain the following plots:                 Contact force (between driving and driven wheel) as a function of time.            …

OBJECTIVE :  To simulate a rankine cycle using matlab. Extracting steam and water properties from XStream data. Calculating all the state points of te cycle based on user inputs.  Calculating the T-S and h-s plot for the given input. Rankine cycle : Rankine cycle is an idealized thermodynamic cycle or heat engine…

AIM : To calculate specific heat, entropy, enthalpy and molecular weight for all given species given in NASA thermodynamic data file using matlab. OBJECTIVE :  To calculate specific heat, entropy, enthalpy and molecular weight for all species given in the data file. To create directory and store all species. Plot…

OPTIMIZATION - Optimization is a decision making process, it helps to find best results from set of inputs. Optimization refers to findind the values of inputs in such a way that we get best output values. Best value  in mathematical terms which refers in maximizing and minimizing one or more objective functions by…

AIM - To solve second order ODE to simulate the transient motion of a simple pendullum and create animation file. MATLAB CODE-  clear all close all clc b = 0.05; % damping coefficient g = 9.81; % gravity in m/s^2 l = 1; % length of the pendullum in 'm' m = 1; % mass of the ball in kg's %inputs theta_a = [0;5]; %%…

AIM - To simulate forward kinematics of a 2R robotic arm using MATLB NOMENCLATURE -  L1 - Length of link 1  L2 - Length of link 2  theta 1 = Angle of the first arm (varies from 0 deg to 90 deg) with recpect to X-axis. theta 2 = Angle of the second arm (varies from  deg to 90 deg) with respect to X-axis.…

1.Perform Gradient Descent in Python with any loss function  Here i used Mean square error loss function(COST) to find the minimum value.m-curr, b-curr,learning rate, x and Y values are given before defining the function. Here i used Numpy and matplotlib.pyplot libraries to find gradient descent method using Mean…

Mid surfacing and meshing an Automotive Hood with quality criteria and thickness AIM  To create a mesh with the given quality criteria and make sure the component is free from geometrical errors  Steps to be followed  Perform a geometrical check  Extraction of mid surface       …

 1)Calculate all 4 business moments using pen and paper for the below data set  ans - picture attached                                                2. What is the significance of expected…

DIFFERENCE IN FORMULA OF VARIANCE AND SAMPLE    Main difference in the formula is N-1 and  N in the denominator                                                                                                                                         reason :  When you have an entire population and calculate population variance…