Adiabatic Flame Temperature Calculation
The adiabatic flame temperature for a given fuel-oxidizer combination is determined by finding the final state temperature (i.e. the adiabatic flame temperature) for which the sum of the enthalpies of the reactants equals the sum of the enthalpies of the products. The calculation of thermal efficiency becomes easy once we know the AFT. The efficiency further allows you to improvise the reactor system.
Combustion Efficiency Calculation after Preheating
A recuperator is a heat exchanger in which energy from the exhaust of hot combustion products, i.e. flue gases, is transferred to the inlet air for increasing its temperature. The effect of such preheating of air can be seen in improving combustion efficiency as well as Adiabatic Flame Temperature. This analysis is performed to effectively utilize the exhaust gas recirculation and increase the efficiency of the reactor.
Solving STIFF ODE System by using Backward Differencing and a Multivariate Newton-Rhapson Solver
In this project, you will be solving a STIFF ODE system from scratch. This helps you understand how reacting systems are solved.
The Newton-Raphson method (also known as Newton's method) is a way to quickly find a good approximation for the root of a real-valued function f(x)=0. It uses the idea that a straight line tangent can approximate a continuous and differentiable function to it. This numerical method is effective for stiff ODEs.
Auto Ignition
In this project, you will be exposed to the Cantera reactor network and its uses in solving various models. The reactor network allows you to calculate the expansion/compression work, heat transfer, mass transfer, and surface interaction with the environment. The auto-ignition gives the time required for combustion to take place and to control it can be beneficial for controlling pollutants as well as for complete combustion.
Sensitivity Analysis
The correct description of chemical changes requires the application of reaction mechanisms consisting of several hundred or thousand reactions. This means that a huge number of parameters describes the chemistry of the combustion process. Hence, the application of the sensitivity analysis techniques is very useful for its understanding of those parameters.
Detailed chemical models are too big for many practical combustion simulations. Sensitivity analysis can be used for mechanism reduction, that is, finding a smaller model that produces similar predictions for some of the variables (i.e., species concentrations and temperature).
One Dimensional Flame Speed Analysis
The flame speed is the measured rate of expansion of the flame front in the combustion reaction. The flame speed of fuel is a property that determines its ability to undergo controlled combustion without detonation. This project is the study of flame speed by considering the effect of temperature, pressure and concentration on it.
Reaction Reduction Mechanism
This detailed mechanism for methane-air combustion(GRI3.0) is probably the most famous one. It comprises 325 reactions and 53 species. The reduced mechanisms include only the top reactions and the associated species. The reduced mechanisms with a certain number of species are able to adequately simulate the ignition delay, sensitivity problem. Such a reduced mechanism saves a lot of computational resources as well as time.
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