Adiabatic flame temperature (AFT): The final temperature obtained after fuel is completely burned is called adiabatic flame temperature. This gives an idea of the maximum amount of energy produced by burning a particular fluid. The combustion takes places adiabatically (i.e Q = 0) Generally, we define the adiabatic flame…
TUSHAR BOMMLA
updated on 18 Nov 2019
Project Details
Leave a comment
Thanks for choosing to leave a comment. Please keep in mind that all the comments are moderated as per our comment policy, and your email will not be published for privacy reasons. Please leave a personal & meaningful conversation.
Other comments...
Read more Projects by TUSHAR BOMMLA (26)
Linear Convection
Objective: To write a code solve the 1D linear convection equation for the various grid points and to generate the plot for the velocity profile using the Matlab. Convection: The flow that combines diffusion and the advection is called convection. Advection: The bulk transport of mass, heat or momentum of the molecules.…
11 Jul 2020 08:25 AM IST
Solving Higher order approximation by Taylor table method using Matlab
Objective: To derive the central differentiation scheme, skewed right-sided difference, the skewed left-sided difference and write code for 3 numerical approximations in Matlab. The whole idea of the numerical discretization is to convert continues equation into algebraic form. so that we can solve it using computers …
18 Nov 2019 08:55 AM IST
curve fitting using python
Aim: To write code to fit linear and cubic polynomial curve fit with a comparison of the original data and to plot the linear and cubic fit with raw data. Curvefit: The curve fit is the process of constructing the curve or mathematical function which posses the closet proximity to the real series of data points. …
18 Nov 2019 08:55 AM IST
literature review on stability analysis for ODE system
Aim: To perform a literature review on stability analysis for ODE systems. The computed solution get close to the fixed points or equilibrium solution as x or t gets large is called stability When do ODEs become unstable? When we use the explicit schemes the solution becomes unstable. These are not usable.…
18 Nov 2019 08:55 AM IST
Breaking Ice with Air cushion Vehicle - Find minimum pressure with Newton-Raphson method using Python
Objective: To solve the given equation and find the minimum pressure required to break a given thickness of the ice by using \'Newton Raphson\' iterative technique in python. The formula used to determine the minimum pressure required to break a given thickness of the ice is given by where p denotes the cushion pressure,…
18 Nov 2019 08:55 AM IST
Compact Notation Derivation for a simple mechanism
Aim: To derive the reaction rate ODEs of a simple reaction mechanism by compact notation. why compact notation? The compact notation is used to simulate the chemical kinematics which can be understood by the computers. compact notations help to describe any size notation to a computer. Reaction Mechanism: Here,…
18 Nov 2019 08:55 AM IST
Auto Ignition using cantera
Objective: The purpose of this challenge is to write code for calculation of auto-ignition time for methane under various conditions using cantera. Ignition delay is the lowest temperature at which ignition takes place. It is the property of the fuel. Generally, auto ignition time is given by `Time_(ignition delay)=Time_(initial…
18 Nov 2019 08:55 AM IST
File parsing of NASA Thermodynamic File
Objective: To write code to extract the different coefficients of the species and calculate the enthalpy-entropy and specific heat of the given NASA THERMODYNAMIC DATA and calculate the molecular weights for all species in the given data file. Plot the graph between entropy, enthalpy and specific heat for local temperature…
18 Nov 2019 08:55 AM IST
Forward Kinematics of 2R robotic arm using Mat-lab
Objective: To stimulate the forward kinematics of a 2R robotic arm by using Matlab. Formula: Equations used to calculate the positions of two links for different angles. `x_1=l_1*cos(θ_1); y_1=l_1*sin(θ_1 ); x_2=x_1+l_2*cos(θ_2 ); y_2=y_1+l_2*sin(θ_2)`. Workflow: The study and stimulation…
18 Nov 2019 08:55 AM IST
Simulation of air standard cycle using python
Objective: The aim of this project is to write the code to stimulate an Otto cycle i.e to calculate the state variables at four different states, plot the PV diagram for the given condition and to calculate the thermal efficiency of the Otto cycle for a specified engine parameter. Theory and Formula: The air-standard Otto…
18 Nov 2019 08:55 AM IST
Sensitivity Analysis of GRI Mechanism.
Sensitivity Analysis: Ignition delay is sensitive to the reaction mechanism, i.e some reaction is more sensitive to ignition delay and some are less sensitive. Hence, \'sensitivity analysis\' plays a vital role in tune the reaction mechanism. What is the sensitivity analysis and why? Sensitivity analysis is the process…
18 Nov 2019 08:55 AM IST
Effect of grid on 1D Linear Convection equation
Objective: To write a code solve the 1D linear convection equation for the various grid points and to generate the plot for the velocity profile using the Matlab. Convection: The flow that combines diffusion and the advection is called convection. Advection: The bulk transport of mass, heat or momentum of the molecules.…
18 Nov 2019 08:55 AM IST
Rankine Cycle Simulator Using Matlab
Objective: The aim of this project is to write the code to stimulate a Rankine cycle i.e to calculate the state variables at four different states, plot the T-S and H-s diagram for the given condition and to calculate the thermal efficiency of the Rankine cycle. Introduction: Rankine cycle is the ideal thermal powerplant…
18 Nov 2019 08:55 AM IST
Stimulation of simple pendulum with damping using Mat-lab
Objective: The aim of the project is to stimulate the movement of the simple pendulum(0-20s) which moves according to the below second order differential equation(ODE) and to create an animation of its movement. `(d^2 θ)/(dt^2 )+b/m*(dθ/dt)+g/l (sinâ¡θ )=0` where: b - damping coefficient l - length…
18 Nov 2019 08:54 AM IST
1D Flame Speed Analysis of Methane and Hydrogen Mechanism.
Objective: To perform 1D flame speed analysis for a methane and hydrogen mechanism using python and cantera. 1D Laminar Premixed Flame Speed Analysis(Deflagration) Premixed Flame: A premixed flame is a flame formed under certain conditions during the combustion of a premixed charge (also called pre-mixture) of fuel and…
18 Nov 2019 08:54 AM IST
Stimulation of the Otto cycle
Objective: The aim of this project is to write the code to stimulate an Otto cycle i.e to calculate the state variables at four different states, plot the PV diagram for the given condition and to calculate the thermal efficiency of the Otto cycle for a specified engine parameter using Matlab. Theory…
18 Nov 2019 08:54 AM IST
Handling Mixture with cantera
The stoichiometric chemical equation of methane is \"CH4 + 2(O2 + 3.76N2) = CO2 + 2H2O + 7.52N2\" In, TPX - T, P are the temperature, pressure and X- is the dictionary which gives the information about the mole fraction. The summation of the all mole fraction should be equal to 1. \"mole fraction = no.of moles of…
18 Nov 2019 08:54 AM IST
Effect of Time step on 1D Linear Convection.
Objective: To write a code solve the 1D linear convection equation for the various time step and to generate the plot for the velocity profile using the Matlab. Convection: The flow that combines diffusion and the advection is called convection. Advection: The bulk transport of mass, heat or momentum of the molecules.…
18 Nov 2019 08:54 AM IST
Combustion efficiency calculation after preheating using Cantera
Recuperator: It is the type of heat exchanger, in which two fluids are separated all time by the solid barrier (metallic or ceramic walls). The special purpose is to counter flow the energy. These are often used in the burner portion. The flue gases or exhaust gases from the burner portion helps the inlet gases to heat…
18 Nov 2019 08:54 AM IST
Adiabatic Flame Temperature Calculation using Python and Cantera
Adiabatic flame temperature (AFT): The final temperature obtained after fuel is completely burned is called adiabatic flame temperature. This gives an idea of the maximum amount of energy produced by burning a particular fluid. The combustion takes places adiabatically (i.e Q = 0) Generally, we define the adiabatic flame…
18 Nov 2019 08:54 AM IST
Optimization of stalagmite function using genetic algorithm
Objective: To write code and optimize stalagmite function and to figure out global maxima of the function. Genetic Algorithm(GA): Genetic algorithm is a search algorithm which is based on natural selection and natural genetics. It basically based on the concept of \"survival of fittest\"(Darwinian Theory), i.e the…
18 Nov 2019 08:54 AM IST
Data Analysis using Python
Objective: The objective of this project is to write code to extract the data from the \'engine_data.out\' and calculate the work done, power output and fuel consumption of the engine. Definitions and Formulas: Power Output: Engine power or horsepower is the maximum power that an engine can put out. It can be expressed…
18 Nov 2019 08:54 AM IST
Cylinder Surface Meshing Using ANSA
Objective: The objective of this challenge is to mesh the cylinder model using ANSA. Procedure: Open the file of the cylinder by clicking the \'File\' option on the top of the taskbar. Make sure that the file is supported by the ANSA. Select the shadow mode. This mode helps to see the 3D part of the cylinder. Change the…
18 Nov 2019 08:54 AM IST
Simple pendulum Simulation using Python
Objective: The project aims to stimulate the movement of the simple pendulum(0-20s) which moves according to the below second order differential equation(ODE) and to create an animation of its movement using Python. `(d^2 θ)/(dt^2 )+b/m*(dθ/dt)+g/l (sinθ )=0` where: b - damping coefficient l -…
18 Nov 2019 08:54 AM IST
Multivariate Newton Raphson Solver using Python
Objective: The objective of this challenge is to write a code to solve stiff ODE system by using the multivariant Newton Rhapson method. Since these are the stiff system, we are using an implicit method to find out the solution. The general formula for backward differentiation is `f^' (x_i )= (f(x_i )-f(x_(i-1)))/∆x`…
18 Nov 2019 08:54 AM IST
Curve fitting using Mat-lab.
Aim: To write code to fit linear and cubic polynomial curve fit with a comparison of the original data in Matlab and to plot the linear and cubic fit with raw data. Curvefit: The curve fit is the process of constructing the curve or mathematical function which posses the closet proximity to the real series of data points. …
08 Jun 2019 09:05 AM IST