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 a...

In this paper a new fuzzy system modeling algorithm is introduced as a data analysis and approximate reasoning tool. The performance of the proposed algorithm is tested in two different data sets and compared with some well-known algorithms from the literature. In the comparison two benchmark data sets from the literature, namely the automobile mpg (miles per gallon) prediction and Box and Jenk...

Abstract. In this paper are study the modeling of a three phase electric arc furnace installation. It is well know that the electric arc is a nonlinear element. Thus, for modeling his behavior, the authors are using a model which parameters like of a real electric arc. For simulation it was use the PSCAD EMTDC program. The simulations results are comparing with the measurements made of a 100t e...

A comprehensive fireside corrosion project was undertaken to better understand the corrosion mechanisms operating on the lower furnace walls and superheaters in modern coal-fired utility boilers. Eight U.S. coals commonly burned in boilers have been selected to represent a wide range of coal chemistry. These coals will be burned in a pilot-scale combustion facility to closely simulate the actua...

We present a quick and straightfoward way of input selection for neuro-fuzzy modeling using ANFIS. The method is tested on two real-world problems: the non-linear regression problem of automobile MPG (miles per gallon) prediction, and the nonlinear system identi-cation using the Box and Jenkins gas furnace data 1].

An important problem at an integrated steel producing plant is the blending of different types of coals to make coke for the blast furnace operation. Historically linear blending models were not appropriate because coal properties important for both optimum cokemaking and blast furnace operation do not combine linearly and are not completely understood. In this talk, a two-step methodology is d...

In reactor furnace, due to high temperature and high pressure, data can be measured only near the furnace wall. In this paper, the way to estimate temperature distribution in a reactor furnace using measured data near the furnace walls and to control temperature distribution to the desired temperature distribution was studied. In the estimation, SQP method is employed using measured data near t...