Feed forward neural network for prediction of end blow oxygen in LD converter steel making

Materials Research

Narra Rajesh²  Malaya Ranjan Khare¹  Shyamal Kumar Pabi² 

[1] ,Indian Institute of Technology Department of Metallurgical and Materials Engineering Kharagpur

关键词: LD converter steel making;    feed forward neural networks;    end blow oxygen;    sensitivity analysis;   

DOI  :  10.1590/S1516-14392010000100005

来源: SciELO

【 摘 要 】

A multi layered feed forward neural network model is being developed for the prediction of end blow oxygen in the LD converter using a two step process. In the first step intermediate stopping temperature is being predicted and using this as an input the end blow oxygen is predicted. In both the cases two hidden layers had given the best results compared to the single layer neural network. Intermediate and end blow temperatures played a vital role in end blow oxygen and intermediate stopping temperature predictions. The model acts a guide for the operator and thereby enhances the yield of the converter steel making process.

【 授权许可】

CC BY   
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