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4 results on '"Asfar Mobin Khan"'

1. TGA/DSC study to characterise and classify coal seams conforming to susceptibility towards spontaneous combustion

Author

Niroj Kumar Mohalik, Somu Mandal, Santosh Kumar Ray, Asfar Mobin Khan, Debashish Mishra, and Jai Krishna Pandey

Subjects
Coal, TGA/DSC, Spontaneous combustion, TG ignition, Mining engineering. Metallurgy, TN1-997
Abstract

Thermogravimetric analysis/differential scanning calorimeter (TGA/DSC) technique along with basic coal characteristics study is carried out for eighty coal samples of Indian coalfields, to determine spontaneous combustion propensity behaviour of coal. TGA study of coal samples indicates that there is an increase in the mass of coal samples in the temperature range 150–350 ℃, which may be due to oxygen adsorption and absorption. The correlation and principal component analysis states that the component of proximate analysis (Mad, VMd, FR, and VR) have an acceptable correlation with the TGA experiments results i.e., Tgsh and Tgign. Multiple fixed nonlinear regression analysis shows that thermogravimetry (TG) experiment results Tgign may be the best index to categorise/classify the coal as per their susceptibility towards spontaneous combustion. The authors proposed four groups of classification as per their propensity towards spontaneous combustion depending upon the moisture (Mad), volatile matter (VMd), and TG ignition temperature from differential thermogravimetric (DTG) curve (Tgign) using hierarchal clustering analysis. The coal samples of different seams from Indian coalfield may be classified into four different clusters, viz. very highly/extremely susceptible (Tgign 320 ℃). The field observations and TGA/DSC experiment results with the following statistical analysis substantiate a similar assessment.

Published
2022
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2. Prevention and control of spontaneous combustion/fire in coal stockpiles of power plants using firefighting chemicals

Author

Asfar Mobin Khan, Somu Mondal, N.K. Mohalik, Jai Krishna Pandey, S. K. Ray, Debashish Mishra, and R.V.K. Singh

Subjects
Coal stockpile, Waste management, business.industry, Mechanical Engineering, General Chemical Engineering, technology, industry, and agriculture, Energy Engineering and Power Technology, Firefighting, Environmental pollution, respiratory system, Geotechnical Engineering and Engineering Geology, complex mixtures, respiratory tract diseases, Fuel Technology, otorhinolaryngologic diseases, Environmental science, Coal, business, Spontaneous combustion
Abstract

Spontaneous combustion of coal in stockpiles of power plants has a significant problem worldwide which leads to several health hazards, environmental pollution and coal loss. Spontaneous combustion...

Published
2021

3. Methodology in early detection of conveyor belt fire in coal transportation

Author

Debashish Mishra, S. K. Ray, N. K. Varma, N.K. Mohalik, Asfar Mobin Khan, Pradeep K. Singh, and Jai Krishna Pandey

Subjects
Renewable Energy, Sustainability and the Environment, business.industry, 020209 energy, Energy Engineering and Power Technology, Early detection, Thermal power station, Conveyor belt, 02 engineering and technology, Fuel Technology, Electricity generation, 020401 chemical engineering, Nuclear Energy and Engineering, Mining engineering, 0202 electrical engineering, electronic engineering, information engineering, Environmental science, Coal, 0204 chemical engineering, business, Belt conveyor
Abstract

Thermal power units are a major source of power generation in India. Belt conveyor is the leading transportation system in a thermal power plant. Belt conveyor fire in a thermal power plant breaks ...

Published
2020

4. Using CFD to Study Spontaneous Combustion of Coal in Power Plant Stockpile

Author

S. K. Ray, N.K. Mohalik, Asfar Mobin Khan, Debashish Mishra, and Nageshwar Sahay

Subjects
Power station, business.industry, Nuclear engineering, Thermal, Stockpile, Fluent, Environmental science, Coal, Wind direction, business, Spontaneous combustion, Wind speed
Abstract

Spontaneous combustion of coal in stockpiles depends on coal characteristics, stock geometry, ambient atmospheric condition, viz. wind speed, wind direction, and temperature. The study investigates the coal characteristics, using CFD simulation and field investigation to understand the spontaneous combustion phenomena of coal stockpiles; Fluent Ansys 16.2 was used in the study. 3D transient simulation with a time step of 86,400 s was carried out for thirty days. Three different cases, viz. one stockpile, two stockpiles side by side and four stockpiles were studied with ambient temperature at 27 °C, activation energy 4.8 * 107 J/kg mole, wind speed at 4.5 m/s and wind direction along the length of the stockpile. The rise in temperature is noticed at the base of the coal stockpile and the intensity of the temperature was found to be reduced with the increase in stockpile height. Thermal survey of coal stockpiles using infrared gun reveals that the temperature at the base (120–300 °C) is high as compared to the ones at the top (45–60 °C). This high temperature may be due to the stock of coal for a period more than a month. CFD simulation study thus corroborates the field and laboratory investigation data.

Published
2018

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