PDF

Grain Size Effect in Elution Test of Electric Arc Furnace Slag

Alessandro Riboldi, Giovanna Cornacchia

2020eneaf slagleaching testgranularitycompositionx-ray diffraction

Abstract

Language:

In this paper we discuss the effects of deslagging practices and the size of electric arc furnace (EAF) slags on structural, microstructural, composition and leaching tests. The samples were collected from seven steelmakers located in Brescia (Lombardy Region, Italy). Nine granularity fractions of four samples were tested to evaluate the influence of the granularity on the leaching tests. The results showed that, in general, the release of the elements arises when the size of the particle decreases, except in one sample, in which vanadium and zinc displayed the opposite trend. X-ray diffraction results suggest that behavior may be ascribed to the effect of the grinding, which causes a different percentage of the phases in the various fractions. In conclusion, the possible effects of the size should also be carefully considered when defining new leaching test requirements for EAF slags.

Download

Cite This Work

@article{0360a7e8-d45a-42d0-b064-339f799e84be,
  title={Grain Size Effect in Elution Test of Electric Arc Furnace Slag},
  author={Alessandro Riboldi and Giovanna Cornacchia},
  year={2020},
  language={en}
}
TY  - JOUR
TI  - Grain Size Effect in Elution Test of Electric Arc Furnace Slag
AU  - Alessandro Riboldi
AU  - Giovanna Cornacchia
PY  - 2020
LA  - en
ER  -

Similar Items

The Nature of Solid Iron and Its Grain Structure

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

2023enPDF

Process Engineering and Plant Design

Siddhartha Mukherjee

This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an

2022enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

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

2022enPDF

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Crystal Structural Investigations of Mongolian Natural Zeolites

G.Batdemberell, Sh.Chadraabal

We have studied zeolitic rocks discovered in Mongolia using electron microscopy (SEM), X-ray fluorescence (XRF), and X-ray diffraction (XRD) methods.

2010enPDF

Crystal Structure of Mongolian Phosphorite Minerals and Mechanochemistry

P. Jargalbat, G. Batdemberel

We have carried out crystal structure investigations of natural and mechanochemically activated samples of Burenkhan, Tsakhir uul and Aldarkhan phosph

2014enPDF