منابع مشابه
Classification of Coking Coals in C1 Seam of East-Parvadeh Coal Deposit, Central Iran Using Multifractal Modeling
The objective of this study is to identify the most suitable portions of the C1 coking coal seam in the North Block of the East-Parvadeh coal deposit (Central Iran), according to ash and sulfur values, using C-N fractal modeling. Based on the C-N log-log plots, different geochemical populations were evaluated based on their sulfur and ash content. They were then divided into five populations ea...
متن کاملSteam versus Coking Coal and the Acid Rain Program
The Clean Air Act of 1990 initiated a tradable permit program for emissions of sulfur dioxide from coal-fired power plants. One effect of this policy was a large increase in the consumption of low-sulfur bituminous coal by coal-fired power plants. However, lowsulfur bituminous coal is also the ideal coking coal for steel production. The analysis presented here will attempt to determine how the ...
متن کاملThe Effects of Volatile Materials of Non-coking Coal on the Reduction of Hematite
One of the most important methods to produce sponge iron is coal based reduction of iron ore. Direct reduction methods based on coal are being improved due to the abundance of coal sources and its lower cost in comparison with natural gas. Volatile materials in coal play an important role in the reduction of iron oxides. In this study, noncoking coal with high volatile materials from Iran and c...
متن کاملThe Release of Trace Elements in the Process of Coal Coking
In order to assess the penetration of individual trace elements into the air through their release in the coal coking process, it is necessary to determine the loss of these elements by comparing their contents in the charge coal and in coke obtained. The present research covered four coke oven batteries differing in age, technology, and technical equipment. By using mercury analyzer MA-2 and t...
متن کاملEvaluation of effects of operating parameters on combustible material recovery in coking coal flotation process using artificial neural networks
In this research work, the effects of flotation parameters on coking coal flotation combustible material recovery (CMR) were studied by the artificial neural networks (ANNs) method. The input parameters of the network were the pulp solid weight content, pH, collector dosage, frother dosage, conditioning time, flotation retention time, feed ash content, and rotor rotation speed. In order to sele...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Fuel Society of Japan
سال: 1979
ISSN: 0369-3775,2185-226X
DOI: 10.3775/jie.58.278