Sintering optimisation of manganese ore fines: a mixed multilinear regression and linear programming model

• Tipo: Artigo em Revista Científica Internacional
• Data: 1998

Autores

Manuel Fonseca Almeida (Autor) FEUP

Revista

Título: CIM Bulletin

Vol. 91 Nº 1023

Páginas: 69-74

ISSN: 0317-0926

Editora: Canadian Institute of Mining and Metallurgy

Indexação

ISI Web of Science

Scopus

Outras Informações

Abstract (EN): Due to the randomness of all factors influencing the sintering operation, a two-stepped procedure is proposed to find the best way of using stocked fines at a plant producing Fe-Mn alloys for the steelmaking industry The approach is based on the following. (1) predict the result of the sintering operation by establishing the best multilinear regression model using some of the characteristics of the loaded material; and (2) find the best solution under a minimizing cost criteria by solving a linear optimization problem using the regression equation plus constraints on the reed and product.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6