Mohammad Ismail

Work place: Clean and Affordable Energy Laboratory, Department of Applied Chemistry and Chemical Engineering, University of Dhaka, Dhaka, Bangladesh



Research Interests: Engineering, Energy Engineering


Dr. Mohammad Ismail is serving as Associate Professor of Department of Applied Chemistry and Chemical Engineering, University of Dhaka, Bangladesh. He has more than 15 years of teaching, research, consultancy and administrative experience in the area of energy, environment, clean fuel, carbon capture, climate change, air quality management and pollution control, waste management (biomass, plastic, textile, leather etc.), Effluent treatment, fossil fuel and renewable fuel e.g. solar and biofuel. He awarded PhD in Engineering (Chemical) from University of Cambridge, UK (2016) and M.Sc. (2002) and B.Sc. (Hons) (2001) from the Department of Applied Chemistry and Chemical Technology, University of Dhaka, Bangladesh. He started career as a researcher, later in 2008, joined as faculty member of University of Dhaka, Bangladesh. He published more than 45 peer reviewed research articles, attended and presented around 50 national and international conferences in Bangladesh, India, Egypt, UK, Italy, Sweden, USA etc. and managed 15 projects.

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:, 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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