Título

HYDROGEN PICK-UP PREDICTION MODEL FOR MEASUARING SAMPLES SAVING

HYDROGEN PICK-UP PREDICTION MODEL FOR MEASUARING SAMPLES SAVING

Autoria

Martins, Ricardo Vieira Regis de Almeida; Segundo, Heber Vieira Gomes

Martins, Ricardo Vieira Regis de Almeida

Eu sou esse autor

Segundo, Heber Vieira Gomes

Eu sou esse autor

DOI

10.5151/2594-5300-34768

Downloads

Resumo

Hydrogen pick-up is a present risk at non-vacuum routes in Secondary Metallurgy Steelmaking. It may lead to several problems ranging from pin-holes and hydrogen induced cracking to even break-outs during continuous casting, which impact costs, plant productivity and maintenance. To avoid those problems, the standard in the industry is to measure or calculate the percentual Hydrogen content in the steel at the arrival or departure from the Secondary Metallurgy Steelmaking (for non-Vacuum Routes). This work aimed to identify and quantify the main sources of Hydrogen in liquid Steel in the Ternium Brazil steelmaking plant through process statistical analyses to develop a Hydrogen pick-up prediction model and, thereby, enable a Hydrogen Measuring Sample saving. The statistical analysis included over 50 parameters – including air humidity - whose correlations and null hypotheses (R², R² adj. and P-value) were tested with the Hydrogen Pick-ups in tapping, in ladle treatment station (LTS) treatment, Aluminum heating facility (AHF) treatment and on arrival at the continuous casting machine (CCM). The developed model in Ternium Brazil managed to predict roughly 50% of the total possible variation of the Hydrogen content on the arrival in the AHF and managed to spare - risk proof - over 60% of the samplings.

Hydrogen pick-up is a present risk at non-vacuum routes in Secondary Metallurgy Steelmaking. It may lead to several problems ranging from pin-holes and hydrogen induced cracking to even break-outs during continuous casting, which impact costs, plant productivity and maintenance. To avoid those problems, the standard in the industry is to measure or calculate the percentual Hydrogen content in the steel at the arrival or departure from the Secondary Metallurgy Steelmaking (for non-Vacuum Routes). This work aimed to identify and quantify the main sources of Hydrogen in liquid Steel in the Ternium Brazil steelmaking plant through process statistical analyses to develop a Hydrogen pick-up prediction model and, thereby, enable a Hydrogen Measuring Sample saving. The statistical analysis included over 50 parameters – including air humidity - whose correlations and null hypotheses (R², R² adj. and P-value) were tested with the Hydrogen Pick-ups in tapping, in ladle treatment station (LTS) treatment, Aluminum heating facility (AHF) treatment and on arrival at the continuous casting machine (CCM). The developed model in Ternium Brazil managed to predict roughly 50% of the total possible variation of the Hydrogen content on the arrival in the AHF and managed to spare - risk proof - over 60% of the samplings.

Palavras-chave

Secondary Steelmaking; Hydrogen pick-up; Modelling

Secondary Steelmaking; Hydrogen pick-up; Modelling