This paper presents some of the results of the modeling and simulation of an industrial furnace under the conventional combustion as well as under the highly preheated and diluted air combustion (HPDAC) conditions. The results are obtained using a computer program written by authors in FORTRAN language. It was found that, the HPDAC offers a more uniform and relatively moderate gas temperature p...

A mathematical heat transfer model for the prediction of transient heating of the slab in a direct-fired walking beam type reheating furnace has been developed by considering the nongray thermal radiation with given furnace environments. The furnace is modeled as radiating nongray medium with carbon dioxide and water with five-zoned gas temperature and the furnace wall is considered as a consta...

Modeling the combustion of a coal char particle in drop tube furnace is still challenge, although different models are available literature. A simple model proposed here which considers single furnace, assuming that shrinking remains spherical during its combustion, among other hypotheses. This much simpler than most ones, as it based on two differential equations respectively describing evolut...

An analytical model of a spreader-stoker wood waste fired boiler has been developed for pre­ dicting the size of the largest particle which can be entrained by the upward motion of the furnace gases. This model is based on an entrainment model which equates particle in-situ settling velocity to furnace gas velocity and uses a stirred reactor mod­ el to evaluate furnace conditions. The effects o...

The blast-furnace process consists of a large number of processes that are physicochemical, thermal and mechanical interconnected processes. In addition to main processes consisting of iron oxides reduction, pig iron and slag melt creation, also realised are fuel combustion, gas flow, charge and melt flow, dissociation and other reactions in the solid and liquid phases. Inputs to the blast-furn...

Fuzzy State Space Model (FSSM) is a new modeling technique, which was developed for solving inverse problems in multivariable control systems. In this approach, the flexibility of fuzzy modeling is incorporated with the crisp state space models proposed in the modern control theory. The vagueness and uncertainty of the parameters are represented in the model construction, as a way of increasing...

This paper describes the development of a hybrid model based on artificial neural network and its industrial application to the ironmaking at Companhia Siderúrgica Nacional (CSN -Volta Redonda/Brazil). The Iron Blast Furnace is highly complex process subject to oscillations in raw material characteristics. A precise model is essential to adjust © 2002 charging and blow conditions to match produ...