PDF

Thermochemical Modeling Factors in Roasting Pre-treatment using a Rotary Kiln for Efficient Vanadium Recovery

Sang-hun Lee, Kyeong Woo Chung

2022envanadiumroastingrotary kilnmodelingthermochemical

Abstract

Language:

In this study, analytical thermochemical modeling factors that contribute to maintaining a specific temperature range during vanadium roasting as a pretreatment using a rotary kiln are investigated. The model-related mechanisms include thermochemical reaction rates, heat balance, and heat transfer, through which the resultant temperature can be estimated intuitively. Ultimately, by optimizing these parameters, the ideal roasting temperature in the kiln is ≈1000 °C (or ≈1273 K) for long-term operation. Therefore, the heat generated from hydrocarbon (natural gas) fuel combustion and ore oxidation reactions, as well as the radiant heat transferred to ores, are assessed. In addition, thermochemical methods for relieving the temperature gradient in order to maintain the optimum temperature range of the rotary kiln are suggested.

Download

Cite This Work

@article{ff8bfed1-c3c2-408b-9136-1bf9851af6c3,
  title={Thermochemical Modeling Factors in Roasting Pre-treatment using a Rotary Kiln for Efficient Vanadium Recovery},
  author={Sang-hun Lee and Kyeong Woo Chung},
  year={2022},
  language={en}
}
TY  - JOUR
TI  - Thermochemical Modeling Factors in Roasting Pre-treatment using a Rotary Kiln for Efficient Vanadium Recovery
AU  - Sang-hun Lee
AU  - Kyeong Woo Chung
PY  - 2022
LA  - en
ER  -

Similar Items

653682511 Cours 10 pyrometallurgie

2026enPDF

10.1007 bf03378099.pdf Burwell, Blair ( WeLib.org )

Blair Burwell

The exhaustion of current vanadium sources and the emergence of new applications are driving the need for innovative methods of extraction. The aim of

2026enPDF

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

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

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

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