Neural Network Applications for Cupola Melting Control

The Minerals, Metals and Materials Society
D. E. Clark E. D. Larsen K. L. Moore V. Stanek P. E. King S. Katz
Organization:
The Minerals, Metals and Materials Society
Pages:
9
File Size:
451 KB
Publication Date:
Jan 1, 1994

Abstract

"Cupola melting is a complex physical and chemical process having a number of nonlinearities which make conventional process control difficult. In addition, sensors for both inputs and outputs of interest to the foundry operator are often difficult or impractical to apply in a production situation. The present work is an effort to control the process using both intelligent and conventional control techniques as appropriate. Neural networks are used as an inverse process model in a cascade, feedforward controller in conjunction with a finite difference model of the cupola. A separate implementation of the neural net serves as a stand-alone visualization tool; it can operate on a laptop computer and is a useful tool for the cupola operator. IntroductionThe goal of the present work is to develop a controller to improve the efficiency of cupola melting. Although cupola melting as a process has a long history, automatic control has been elusive because the process has been poorly understood. The purpose of this four-year program, which has been underway for about six months, is to develop a controller for the cupola process using intelligent and conventional control methods.The Cupola ProcessThe cupola furnace [1,2] is one of the oldest processes for making cast iron, and is still the dominant method. It takes the form of a water-cooled vertical cylinder, as large as 4 m in diameter and 20 m tall. The charge consists of scrap metal, alloying ingredients, limestone, and coke, which serves as fuel; it is composed by weight and fed through doors near the top of the cupola. Air, usually heated and often enriched with oxygen, is blown in near the bottom through tuyeres extending a short distance into the interior of the cupola. As the coke is consumed, the charge drops and melts. A continuous flow of iron emerges from the bottom of the furnace, at rates as high as 100 tons per hour, and. is transferred to casting lines in the foundry. The exhaust gases are drawn from the top of the cupola, where they are processed to meet pollution standards."
Citation

APA: D. E. Clark E. D. Larsen K. L. Moore V. Stanek P. E. King S. Katz  (1994)  Neural Network Applications for Cupola Melting Control

MLA: D. E. Clark E. D. Larsen K. L. Moore V. Stanek P. E. King S. Katz Neural Network Applications for Cupola Melting Control. The Minerals, Metals and Materials Society, 1994.

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