This paper deals with a novel interactive approach of Artificial Neural Network (ANN) as an optimization tool for optimizing process parameters of rotary furnace. This approach solves a very challenging problem in the area of rotary furnace i. e. selection of optimal process parameters for producing homogenous quality castings. Rotary furnace involves several critical parameters like flame temp...

This work describes the production of magnesia-alumina spinel using microwaves as energy source. The microwave energy was supplied by means of an 800 W magnetron operating at 2.45 GHz. The microstructure and the mineral composition were studied by means of SEM and X-Ray diffraction respectively. The resultant product shown sintered zone and incipient smelting of the reagents meaning that microw...

Ferrochrome is the major chromium source for stainless steel production, and submerged-arc furnaces (SAF) are most commonly utilised to smelt chromite ores into ferrochrome by using suitable carbonaceous reductants such as coke. Because of the complexity of feed structure and electrical-thermal-chemical interactions, there exist large gradients and wide distributions of temperature, mineralogy ...

Electrochemical nature of metallurgical reaction arouses more and more attentions, and the most closely related is the electrical conductivity of molten slag. The electrical conductivity of molten slag is not only an important physical property that plays a prominent role in modeling and operating the electric smelting furnace and optimizing the metallurgical process, but also important for und...

The actual problem of mineral resources depletion in ferrous metallurgy can be effectively solved by complex reuse technogenic waste. That waste is mostly presented EAF (electric arc furnace) slag and LF (ladle slag. These two kinds have no full utilization. residues are going to the dump then locations pollute environment. However, transformed into valuable industrial product interaction compo...