Jarief Farabi

Work place: Department of Aeronautical Engineering, Bangabandhu Sheikh Mujibur Rahman Aviation and Aerospace University (BSMRAAU), Dhaka, Bangladesh

E-mail: j.farabi@bsmraau.edu.bd


Research Interests: Engineering, Chemical Engineering


Jarief Farabi is currently working as Lecturer in Department of Aeronautical Engineering at Bangabandhu Sheikh Mujibur Rahman Aviation and Aerospace University (BSMRAAU), Bangladesh. He received his BEng in Aerospace Engineering from University of Surrey in 2015 and M.Sc. in Aerospace Engineering from Coventry University, UK in 2017. He worked as Project Technical Assistant at TWI Ltd under Brunel Innovation Centre in Cambridge, UK for a year on EU and IUK project. Besides, He is also working as Research Associate at University of Dhaka, Bangladesh under Department of Applied Chemistry and Chemical Engineering. He has attended 10th Anniversary, 2019 Class of the Princeton-Combustion Institute Summer School, Princeton University, New Jersey, USA. His research and technical interests are CFD simulation of combustion, different turbulence models, aerodynamics, heat transfer and multi-phase flow; FEA modeling and design optimization of advance aerospace materials.

Author Articles
Numerical Study of Non-premixed MILD Combustion in DJHC Burner Using Eddy Dissipation Concept and Steady Diffusion Flamelet Approach

By Jarief Farabi Mohammad Ismail Ebrahim Abtahizadeh

DOI: https://doi.org/10.5815/ijem.2021.03.01, Pub. Date: 8 Jun. 2021

Numerical study simplifies the challenges associated with the study of moderate and intense low oxygen Dilution (MILD) combustion. In this study, the numerical investigation of turbulent non-premixed combustion in a Delft Co-flow Burner presents, which emulates MILD combustion behaviour. MILD combustion yields high thermal and fuel efficiency along with very low emission of pollutants. Using commercial ANSYS software, this study focuses on assessing the performance of two different turbulent-chemistry interactions models: a) Eddy Dissipation Concept (EDC) with reduced chemical kinetic schemes with 22 species (DRM 22) and b) Steady Diffusion Flamelet model, which is adopted in the Probability Density Function (PDF) approach method using chemical kinetic schemes GRI mech 3.0. The results of numerical simulations are compared with available experimental data measurement and calculated by solving the k-epsilon realizable turbulence model for two different jet fuel Reynolds numbers of 4100 and 8800. It has observed that the Steady Diffusion Flamelet PDF model approach shows moderately better agreement with the predicting temperature fields of experimental data using chemical Mechanism GRI mech 3.0 than the EDC model approach with a chemical mechanism with DRM 22. However, both models perform a better understanding for predicting the velocity field with experimental data. The models also predict and capture the effects of lift-off height (ignition kernel) with increasing of fuel jet Reynolds number, Overall, despite having more computational cost, the EDC model approach with GRI mech 3.0 yields better prediction. These featured models are suitable for the application of complex industrial combustion concentrating low emission combustion.

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