BACKGROUND Noise pollution is currently a major health risk factor for workers in industries. The aim of this study was to investigate noise pollution and implement a control intervention plan for blast furnace in a steel industry. METHODS The measurement of sound pressure level (SPL) along with frequency analysis was done with the sound-level-meter Cell-450. Personal noise exposure was perfo...

E. Kardas Czestochowa University of Technology, Faculty of Materials Processing Technology And Applied Physics, Czestochowa, Poland The analysis of the eff ect of the qualit y of f errous burden materials on the paramet ers of blast furnac e process is presented in this paper. First, the quantitative and qualitative analysis of ferrous burden materials used in blast furnace process was made. Th...

In steel industry, without consideration of blast furnaces, reheating furnaces are classified the biggest energy consumers. The research of efficient control algorithms permitting less energy consumption has become an important issue for those furnaces. In this paper, a nonlinear Model Predictive Controller (MPC) is designed for a steel slab walking-beam reheating furnace. A numerical nonlinear...

This paper focuses on the development of high-strength and eco-friendly one-part (i.e., dry-mix) alkali-activated mortar with ground granulated blast furnace slag as main precursor. In addition to slag, phyllite dust silica fume were used co-binders in binary ternary blends improve mechanical properties. Particle packing optimization was employed for mix proportioning achieve a compact matrix s...

In modern steelmaking the duration of a working campaign for a blast furnace is related to the life of the crucible. Adding titanium oxide has been a frequent practice in the operation routines for modern blast furnaces, seeking the protection of the crucible walls, independently from its physical or chemical characteristics. These practices, as conventional operation of iron and steelmaking in...

Industrial growth and environmental damages, as two important indicators in sustainable development are followed by steel industry. This article leads industries to green industry. In this case, energy, material, capital consumption and environmental damages as sustainability patterns of environment have been investigated in three different dust collectors to select the most environmentally sui...

Gas utilization ratio (GUR) is an important indicator that is used to evaluate the energy consumption of blast furnaces (BFs). Currently, the existing methods cannot predict the GUR accurately. In this paper, we present a novel data-driven model for predicting the GUR. The proposed approach utilized both the TS fuzzy neural network (TS-FNN) and the particle swarm algorithm (PSO) to predict the ...