Mikko Helle, Henrik Saxén
The condition and state of the hearth of the blast furnace is vital as the life length of the refractories directly impacts the campaign duration of the furnace. This paper presents an analysis of the blast furnace hearth using a wear model predicated on an inverse heat conduction problem, allowing for an examination of the variations in the lining state throughout the furnace campaign. The study distinguishes between different operational states, identifying periods characterized by stable metal production and those marked by erratic behavior and significant disturbances in hearth conditions. The analysis reveals that during suboptimal performance phases, the hearth experiences a cycling behavior, alternating between excessive skull growth on unworn refractories and subsequent erosion phases. To understand the transitions in hearth conditions, a force balance equation for the deadman is formulated and solved, aiming to ascertain whether it remains in a floating or resting state. Ultimately, the research establishes a link between thermal cycling in the hearth and the sulfur content in the hot metal, thereby contributing to a better understanding of blast furnace operations and wear dynamics.
@article{7e51bdbc-8d6e-4f5b-bde6-aae471384601,
title={Wear-Model-Based Analysis of the State of Blast Furnace Hearth},
author={Mikko Helle and Henrik Saxén},
year={2022},
language={en}
}TY - JOUR TI - Wear-Model-Based Analysis of the State of Blast Furnace Hearth AU - Mikko Helle AU - Henrik Saxén PY - 2022 LA - en ER -
This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data
Unknown, Unknown
This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand
Siddhartha Mukherjee
This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an
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
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu