SOMNATH BASU, ASHOK KUMAR LAHIRI
CaO-SiO2-FeOx-P2O5-MgO bearing slags are typically used in the basic oxygen steelmaking (BOS) process. This study investigates the partition ratio of phosphorus between slag and steel as an index of the phosphorus holding capacity, which affects the attainable phosphorus content in finished steel. Conducted at varying concentrations of FeO and basicity levels, results indicate that the partition ratio initially increased with basicity but plateaued beyond thresholds of 2.5 to 2.6. Notably, increasing FeO content up to 18 to 20 mass pct enhanced phosphorus partitioning at a basicity of 2 to 3; however, higher FeO concentrations subsequently decreased the partition ratio, the transition point varying with basicity and temperature. At lower basicities, phosphorus partition showed little change or a marginal decrease with increasing FeO. These findings provide crucial insights into slag behaviors in steelmaking, highlighting critical limits that optimize phosphorus control in the production process.
@article{1d5a524b-9fc1-4850-9256-8c1b0890786b,
title={Phosphorus Partition between Liquid Steel and CaO-SiO2-FeOx-P2O5-MgO Slag Containing 15 to 25 Pct FeO},
author={SOMNATH BASU and ASHOK KUMAR LAHIRI},
year={2007},
language={en}
}TY - JOUR TI - Phosphorus Partition between Liquid Steel and CaO-SiO2-FeOx-P2O5-MgO Slag Containing 15 to 25 Pct FeO AU - SOMNATH BASU AU - ASHOK KUMAR LAHIRI PY - 2007 LA - en ER -
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati
A. Ryan, E. Johanson
The design of process plants for feasibility studies must address several key objectives, including feasibility and constructibility, while focusing o
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
P Card, J Canterford
This document presents a collection of papers from the METPLANT 2011 conference focusing on metallurgical plant design and operating strategies. The o