A parabolic relationship has been established between the percentage of sinks for every one per cent reduction in ash for different levels of cleans and the respective ash per cent in cleans of Shampur-Chatabar coals (size ½ in – 36 B.S.) and it is expressed by an equation Y = 4.075 + X (0.368 – 0.019 X), where Y is the weight percentage of sinks for every one per cent reduction in ash of cleans and X is the ash per cent in clean coal. Further, from the calculated value of Y, weight per cent W of clean coal can be calculated by the equation W = 100 – RY, where R denotes total reduction of ash
The various formulae for calculating calorific values for coals from ultimate analyses depend essent...
Coal resources have been estimated at over 861 billion tone globally. India accounts for 236 billion...
The characteristics of coal depends on different parameters like rank, moisture, mineral matter cont...
This paper deals with the distribution of mineral matter in the Kararkoh seam coals of Chirimiri coa...
India is endowed with a vast reserve of coals but out of this approximately 87 per cent are high vol...
India, the world’s third largest coal producing country, is expected to maintain strong dependency o...
Numerous empirical equations have been published to correlate the gross calorific value (GCV) of coa...
From a study of large number of determined values of Hardgrove Grindability Index (H.G.I.) of all ma...
Thermal Power plants in India burn high ash content coal of 40-60 ash % due to the paucity of low a...
The advancement of computer applications in the coal industry is focusing interest on the presentati...
Due to the availability of high ash feedstocks and drift origin, Indian coal washeries face tremendo...
Victorian brown coal represents a significant resource for power generation in Australia. The typica...
The mineral matter in coal has several detrimental effects on coal utilization. It affects almost ev...
A functional relationship between the relative flammability of coal and its inherent ash content has...
A variant of application of Reinhardt's theorem for determination of separation densities at which i...
The various formulae for calculating calorific values for coals from ultimate analyses depend essent...
Coal resources have been estimated at over 861 billion tone globally. India accounts for 236 billion...
The characteristics of coal depends on different parameters like rank, moisture, mineral matter cont...
This paper deals with the distribution of mineral matter in the Kararkoh seam coals of Chirimiri coa...
India is endowed with a vast reserve of coals but out of this approximately 87 per cent are high vol...
India, the world’s third largest coal producing country, is expected to maintain strong dependency o...
Numerous empirical equations have been published to correlate the gross calorific value (GCV) of coa...
From a study of large number of determined values of Hardgrove Grindability Index (H.G.I.) of all ma...
Thermal Power plants in India burn high ash content coal of 40-60 ash % due to the paucity of low a...
The advancement of computer applications in the coal industry is focusing interest on the presentati...
Due to the availability of high ash feedstocks and drift origin, Indian coal washeries face tremendo...
Victorian brown coal represents a significant resource for power generation in Australia. The typica...
The mineral matter in coal has several detrimental effects on coal utilization. It affects almost ev...
A functional relationship between the relative flammability of coal and its inherent ash content has...
A variant of application of Reinhardt's theorem for determination of separation densities at which i...
The various formulae for calculating calorific values for coals from ultimate analyses depend essent...
Coal resources have been estimated at over 861 billion tone globally. India accounts for 236 billion...
The characteristics of coal depends on different parameters like rank, moisture, mineral matter cont...