A temperature control method is developed for reheating steel slabs in an industrial furnace. The work was motivated by the need for mathematically simple furnace control schemes that feature accuracy, robustness, applicability to online control, and capabilities of non-steady-state operating scenarios, where the temperature goals and other properties of the slabs may vary considerably. The pro...

In steel industry, without consideration of blast furnaces, reheating furnaces are classified the biggest energy consumers. The research of efficient control algorithms permitting less energy consumption has become an important issue for those furnaces. In this paper, a nonlinear Model Predictive Controller (MPC) is designed for a steel slab walking-beam reheating furnace. A numerical nonlinear...

Research is made into the fuzzy control of electrode regulator systems of submerged electrical arc ferrosilicon furnace EAF. The equations of the electrode currents and furnace resistances are derived based on certain model for the submerged arc ferrosilicon furnace. This model takes into consideration the walls of furnace and the heat losses into external medium in addition to the heat transfe...

laboratory and industrial scale experiments are made on the application of sponge iron pellets and briquettes for the production of cast iron and steel in different melting systems, such as electric induction furnace, electric resistance furnace and fuel-fired crucible furnace. effect of various variables such as specifications of sponge iron, temperature of the molten metal and the method of f...

As the generation of industrial wastes increases, waste treatment is steadily becoming a serious economic and environmental issue. Existing waste has mainly been treated by landfilling after incineration. A shortage of landfill sites necessitates waste management alternatives other than traditional incineration and landfill. This paper focuses on a cost-benefit analysis that evaluates the econo...

This paper presents a logically complete assumption based truth maintenance system (ATMS) that is part of a complex blast furnace computer aided piloting system [ 5 ] . This system is built on an e cient and logically complete propositional constraint solver that has been successfully used for industrial applications in computer aided design.

The paper describes the abilities of some particular neural network structures (NNS) to provide condition monitoring in a real industrial system, designated for hot dip zinc galvanizing. Condition assessment of a molten zinc bath furnace, and more specifically analysis and prediction of the technical condition in galvanizing kettle walls are also developed in this paper.

A new high-temperature XRD instrument, utilizing multilayer optics and a custom furnace, has been developed to maximize sensitivity and minimize problems associated with sample displacement. This paper will describe the technical specifications of the new instrument, and will present temperature calibration with standard reference materials and measurement of phase evolution in an industrial gl...

PID controllers are widely used in many industries and provide acceptable performances with no specific requirement for mathematical knowledge of the plant. However, these controllers, which are tuned for one operating point, are based on the assumption that local linearity holds for the plant to be controlled. When considering operation over a range, the assumption on local linearity may becom...

abstract:a mathematical model for the performance prediction of an industrial glass furnace with six ports on each side was developed. this model comprises of two main sub-models for the combustion chamber and glass-melting tank. the first sub-model consists of the models for the combustion and the heat transfer model including, radiation, convection and conduction. the fuel combustion in atmos...