In this project Adiabatic Flame Temperature(AFT) calculation will be performed using coding language Python and in-build Suite of Cantera. Cantera is an open-source suite of tools for problems involving chemical kinetics, thermodynamics, and transport processes. So, the comparative analysis will be performed to compare the factors like time requirement, accuracy etc. The effect of number of carbon atoms on Adiabatic Flame Temperature will also be discussed.
In this project, you will work on a calculation of Adiabatic Flame Temperature by using Python and in-built suite Cantera. You will do the following in this project,
In this project, you will setup the case for Diesel engine for different piston bowls i.e Open-W and Omega piston using CONVERGE CFD Software. You will be looking for core technical details such as spray penetration length, comparing HIROY SOOT and NOx emissions, flame propagation etc.
In this project, we are writing a code to calculate the Adiabatic Flame Temperature of the Methane Flame. The calculation will not be performed without understanding the complex theory of flame dynamics and chemical kinetics. There are multiple reactions taking place inside the flame to increase the temperature of the flame. You will going to learn two approaches to calculate the Adiabatic Flame Temperature(AFT). In first approach, we will be setting up the energy balance to calculate the AFT using constant volume and constant pressure approach. The comparison between these two approach will also be made to understand their applicability in different applications. For energy balance, the enthalpies will be calculated using NASA polynomials and coefficients for solving enthalpies will be taken from GRI3.0 mechanism which is available on University of Berkeley Open source combustion library. The another approach for solving AFT is by using Cantera suite which can used with Python directly. The comparative analysis will also be performed to find which approach stands out or atleast its suitability in different applications.
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Engineering students who are fresh out of college often struggle to meet the expectations of their employers. More often than not, this stems from a gap between the skills they learned in school and those that are required to make them competitive in the workplace. Skill-Lync, an edtech startup based out of Chennai, aims to bridge this gap.
Chennai-headquartered online learning startup Skill-Lync has launched a Masters course in Electric Vehicle Design and Simulation. The company says the new course is the first such curriculum in India, that focuses on electric vehicles. The fee of the EV course is around Rs 275,000, with the option of a full time or part-time duration. The startup provides job leading courses for Mechanical, Electrical and Civil Engineering students in India and across the world. With colleges shut and students looking to make the most of the time that they are at home the startup has fast-tracked the development of this program and releasing it amid Covid-19.
Skill-Lync started out as a YouTube channel to share engineering tips. Today, it is an online training course that caters to mostly non-software engineering students, which make up around 60 percent of the total engineers that graduate every year.
In an attempt to ensure that there is no hiatus in student education during the ongoing lockdown, Govt of India’s All India Council of Technical Education - NEAT announced partnership with Chennai based Edtech startup Skill-Lync. The global startup Skill-Lync is first-of-its-kind engineering technical education platform that provides job leading courses for Mechanical, Electrical and Civil Engineering students in India and across the world.
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