Research Assistantship
Macro-to-Micro scale Fluids Engineering Lab (MμFEL
Department of Mechanical Engineering
Bangladesh University of Engineering & Technology
Currently, I'm working as a research assistant in the Macro-to-Micro scale Fluids Engineering lab in the Bangladesh University of Engineering and Technology. The current research project aims to design and optimize a converging nozzle from numerical and experimental perspectives for smallscale wind turbines to increase their mechanical efficiency. The optimization process emphasizes to the local atmospheric condition in the coastal area. As a research assistant, some of my key responsibilities are:
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Design different converging nozzle in SolidWorks.
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Simulate them in ANSYS for different atmospheric and weather conditions.
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Post Processing the computational outputs.
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Choose several designs of the nozzle that show maximum or near-maximum efficiency.
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Assist the project supervisor in building the experimental setup and performing the experiments.
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Analyze the experimental data and compare them with the numerical ones.
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Documenting the work progress and preparing the presentation and
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Proofreading the relevant documents.
SolidWorks models of the wind turbine
Numerical analysis of the nozzle equipped wind turbine
Thesis Mentorship
​As an alumnus of the Macro-to-Micro scale Fluids Engineering Lab, I consider it my responsibility to help the young researchers conducting their thesis in the lab. Thus, I was assigned by my supervisor to be a mentor of an undergraduate research group. As a mentor, I had given lectures in the course ME 400: Project and Thesis. The lectures were on using the DSMC method for supersonic micro-jet analysis for small-scale satellites. Moreover, I took a short course on OpenFoam. I'm also in charge of a deep learning project that we have undertaken to incorporate deep learning with the DSMC method to predict the flow behavior from less time averaging data with minimum accuracy comparison. In this work, we will use both the vector autoregression and the neural network regressor models for data prediction which will lessen the computational time. The deep neural network model is currently at its testing stage and is showing excellent results. We are hoping to launch it by April 2022. To make it more user-friendly, we are simultaneously developing a GitHub tool that will help the scientific community to apply deep learning in their work.
Supersonic micro-jet
Mesh for micro-jet
Multivariable time series forecasting model
Industrial Attachment
Haripur 360 MW Power Plant
(Jan 2020 - Feb 2020)
We received a three weeks internship program, which is a noncredit course (ME 370), mandatory to get graduated from Bangladesh University of Engineering and Technology. The training program was the first ever training we as students received. It was organized by ME Department of BUET in collaboration with Haripur 360 MW Power Plant. We started our internship on 20 January 2020 and ended on 06 February 2020. During our stay, we visited all the plants and facilities. We were introduced to different machinery and processes. The supporting utility plants were also introduced to us in a very descriptive way. We were also asked to perform analysis of some of the different process machinery. This document includes the description of all the plants and the assignments that we have completed over the time of our stay.
