ISSN 2594-5297
58º Seminário de Laminação, Conformação de Metais e Produtos — vol. 58, num.58 (2023)
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It is important to predict roll forces and microstructural evolution in the hot rolling process in order to improve product quality and process optimization. Based on parameters such as chemical composition, temperature, and strip dimensions, many authors have developed equations to predict it. In this work, it was compared industrial roll force to those predicted by Misaka and Siciliano’s models. After that, a linear regression was performed to improve correlation between industrial data and calculated forces. It was possible to obtain values of f < 10% above 80% and RMSE between 100 and 190 tons. The observed results show that with a simple linear regression it is possible to improve the adjustment of the equations for the data of a given industrial plant.
It is important to predict roll forces and microstructural evolution in the hot rolling process in order to improve product quality and process optimization. Based on parameters such as chemical composition, temperature, and strip dimensions, many authors have developed equations to predict it. In this work, it was compared industrial roll force to those predicted by Misaka and Siciliano’s models. After that, a linear regression was performed to improve correlation between industrial data and calculated forces. It was possible to obtain values of f < 10% above 80% and RMSE between 100 and 190 tons. The observed results show that with a simple linear regression it is possible to improve the adjustment of the equations for the data of a given industrial plant.
Palavras-chave
Hot rolling; Roll Forces; Mean Flow Stress.
Hot rolling; Roll Forces; Mean Flow Stress.
Como citar
Ventura, Harison da Silva;
Soares, Jully Ramos;
Silva, Melina Gamis da;
Cunha, Raphael Ribeiro Alexsander da;
Araujo, Fabio de Oliveira.
COMPARATIVE ANALYSIS OF CALCULATED AND INDUSTRIAL HOT ROLLING LOADS FOR MICROALLOYED STEELS
,
p. 738-749.
In: 58º Seminário de Laminação, Conformação de Metais e Produtos,
São Paulo,
2023.
ISSN: 2594-5297
, DOI 10.5151/2594-5297-39618
