Curve fit using python

The thermodynamic data for various species is studied and the coefficients of temperature  in the characteristic equations for entropy, enthalpy and specific heat are obtained using a matlab code. The equations are as follows: Specific heat equation: Cp = R*(a1 + (a2*T) + (a3*(T.^2)) + (a4*(T.^3)) + (a5*(T.^4)))…

The Tesla Cybertruck seamlessly blends together something 4 year old me would draw and something out of a dystopian future. From the design, it looked like the team at Tesla decided to turn off the wind tunnel and forgot about the CFD options available while designing the car. The opposite approach was taken and an external…

Code to obtain the data from the Converge output file and plot the p-V relationship: import matplotlib.pyplot as plt import numpy as np import math #Assigning an empty array to all the engine parameters Crank = [] Pressure = [] Max_Pres = [] Min_Pres = [] Mean_Temp = [] Max_Temp = [] Min_Temp = [] Volume = [] Mass = []…

Curve fitting is done in order to study the characteristic equation between a dependent and one or more independent variables. The fitting is done in order to find out which order of polynomial offers the best fit and how many regions the data can be split into in order to figure out the optimal fit for the given data…

The Newton-Rhapson method is an iterative technique that is used to solve for the roots of a function. In this case, we use the Newton-Rhapson method to solve for the cushion pressure required to cut a certain thickness of ice using an air cushion vehicle. The thickess, denoted by h in the equation is varies from 0.6 to…

import numpy as np import math import matplotlib.pyplot as plt from scipy.integrate import odeint #defining the function to solve the ode def odes(theta, t, b, g, l, m): theta1 = theta[0] theta2 = theta[1] dtheta1dt = theta2 dtheta2dt = -(b/m)*theta2 - (g/l)*math.sin(theta1) dthetadt = [dtheta1dt, dtheta2dt] return dthetadt…

The otto cycle is an ideal cycle that refers to the functioning of a petrol or SI engine.  The cycle is made up of 4 cycles that are made up of 4 salient points.  From point 1-2 it is a reversible adiabatic compression process. From 2-3 it is a constant volume heat transfer into the system. From 3-4 it is a reversible…

The goal of this challenge is to take in input conditions at the turbine inlet plot the characteristic Rankine cycle T-s and h-s plots using the XSteam function. A conventional Rankine cycle consists of 4 state points, with 1-2 being isentropic expansion in the turbine, 2-3 being isochoric heat removal in the condenser,…

The purpose of a genetic algorithm study is to find the global optimum value for a given population based on Darwin\'s theory of evolution. The hope is to achieve a population that allows the superior genes to pass on through to the next generation such that over successive generations, there is no increase in the superiority. …