Application of Machine Learning Methods to Improve of the Roller Press Performance in the Pelletizing Process

Thiago Nicoli de Abreu, Thiago Nicoli de Abreu, Andrea Bianchi, Saul Silva

2021

Abstract

In recent years, the technology of the roller press has become very useful in the pelletizing processes to comminute the pellet feed and increase the specific surface of the iron ore. It is known that the surface gain is directly related to the productivity and quality gains in the pelletizing process. In view of its importance, the increase in efficiency of the press becomes increasingly necessary, mainly due to its direct impact on the production chain. The large number of variables involved in its operation demonstrate that conventional methods and the knowledge of this process can be improved. For this, the work identifies the variables with the highest production in the specific surface gain, develops a classification model to determine rules of optimal operation settings and presents a model for the prediction of the specific surface variable, seeking gains in determining performance of this asset.

Paper Citation

in Harvard Style

Nicoli de Abreu T., Bianchi A. and Silva S. (2021). Application of Machine Learning Methods to Improve of the Roller Press Performance in the Pelletizing Process. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 677-684. DOI: 10.5220/0010443906770684

in Bibtex Style

@conference{iceis21,
author={Thiago Nicoli de Abreu and Andrea Bianchi and Saul Silva},
title={Application of Machine Learning Methods to Improve of the Roller Press Performance in the Pelletizing Process},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={677-684},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010443906770684},
isbn={978-989-758-509-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Application of Machine Learning Methods to Improve of the Roller Press Performance in the Pelletizing Process
SN - 978-989-758-509-8
AU - Nicoli de Abreu T.
AU - Bianchi A.
AU - Silva S.
PY - 2021
SP - 677
EP - 684
DO - 10.5220/0010443906770684