Simutech - Chemineers Society

Optimization

Mentors : Ayush Raj , Md Saif

Optimization

Aims

Optimization of Fin Design
Optimization of Binary Distillation Column

Objectives

To have a clear concept about some of the concepts used related to Heat and Mass Transfer
To appreciate the simulation softwares like MATLAB and COMSOL and gets a hands-on experience
Have a knowledge of optimisation and how it affects the results, outputs and production

Deliverables

Student will have a clear knowledge about how fins work. They will be able to analyse which geometry of fin will be better on the basis of temperature drop and the heat transfer rate
Student will have a clear knowledge about how binary distillation column works and will have a clear understanding of minimum number of trays, etc
Student will be able to learn about fugacity, activity coefficient model

Introduction to Multiphase Microfluids

Mentor: Anshul Mehta

Introduction to multiphase microfluidics and its industrial application

Objectives

To understand different flow regimes in single phase and multiphase flow.
To study the effect of flow regimes on heat transfer efficiency of a reactor.
To know the industrial application of multiphase flow.
To get familiar with COMSOL and MATLAB.

Learnings

Get introduced with multiphase flow
Hands on experience with simulation in MATLAB and COMSOL
Learn about heat transfer from scratch
Get to know the application of multiphase flow in petrochemical industries

Deep Learning: CHE

Mentors : Ujwal Kumar, Shreyansh Pachauri

Deep Learning: CHE

Objectives

This project aims to give the mentees introduction to the world of deep neural nets, CNNs and its application in the field of Chemical Engineering. The project offers an in depth mathematical understanding and intuition about how things function.

We will be using Chemical Engineering Tools such as COMSOL to give the mentees a gist of what simulations are. We will also be going through adsorption (Mass Transfer Application) and use ANNs to predict the adsorption capacity.

Hands on Matlab, Aspen and Comsol

Mentor : Devang Kumawat

Hands on Matlab, Aspen and Comsol

Objective

The primary objective of this project is to provide you with practical experience utilising the major software that is required for the Chemical courses at IITK.

In addition to this, you would be gaining a general understanding of principles related to heat transfer, fluid dynamics, and reactors

Process Simulation using Aspen

Mentor : Aastha Sitpal

Process Simulation using Aspen

Objectives

Become well-acquainted with Aspen Plus Software
Understand reactor models, columns, separators and Unit operation of Chemical plant
Understanding the concepts and theories involved in chemical processes
Understand steady state simulation, process optimization, and dynamics.

Monte Carlo Simulations

Mentor : Harjap Singh

A stochastic approach to Chemical Engineering Systems: Monte Carlo Simulations

Learnings

Probability distributions & Statistical jargons
Sampling Methods and general Monte Carlo methods
Behaviour of Boltzmann distribution
Markov Chain and Metropolis-Hastings Algorithm
Chemical kinetics

Aim

To find bond length of molecules
To find trajectory of dynamic chemical reactions
To find probability of finding an energy state
To compare results with the deterministic approach

PROJECTS

Optimization

Introduction to Multiphase Microfluids

Deep Learning: CHE

Hands on Matlab, Aspen and Comsol

Process Simulation using Aspen

Monte Carlo Simulations

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