Skip to main content

Carbothermic Reduction of Brazilian Linz–Donawitz (LD) Steel Sludges

  • Conference paper
  • First Online:
  • 672 Accesses

Part of the book series: The Minerals, Metals & Materials Series ((MMMS))

Abstract

Carbothermic reduction was conducted using coarse (sample A) and fine (sample B) Brazilian Linz–Donawitz (LD) steel sludges and a sample of Peruvian anthracitic metallurgical coke (AMC) at 82.5% of fixed carbon. Specimens of 1 g of sample A and sample B preliminarily mixed with AMC at Fe/C: 1/2 were weighted. Sample A/AMC and sample B/AMC, reduction time and reduction temperature were identified as factors or independent variables. Conversions (α) or % reduction were selected as dependent variables. The values of weight ratios for sample A/AMC and sample B/AMC (3/7 and 7/3, respectively), reduction temperatures of 600 and 900 °C and reduction times lapses of 30 and 60 min, corresponding to their minimum as well as their maximum level of fluctuation respectively, were carried out via two design of experiments based in the factorial method 23; one for each sample (A and B); using a Brazilian statistics software called COLMEIA—Snedecor algorithm F in order to evaluate the effects simple, double and multiple of factors over the conversions (α) or % Reduction. Carbothermic reduction tests were performed at the optimal weight ratio (sample A/AMC: 3/7 and sample B/AMC: 3/7), reduction temperatures: 600, 700, 800 and 900 °C and reduction times: 20, 30, 40, 50 and 60 min in order to estimate k-specific reaction rate constant, Ea-apparent activation energy and the A-Arrhenius pre-exponential frequency factor. The kinetic models that better fitted to the conversions (α) of both samples (A and B) were: boundary chemical reaction model for spherical symmetry (BCRM-ss): \(1-{\left(1-\mathrm{\alpha }\right)}^{1/3}=\mathrm{kt}\) and the model of simple exponential continuous reaction (MSECR): \(-\mathrm{ln}\left(1-\mathrm{\alpha }\right)=\mathrm{kt}\). The kinetic parameters obtained were: (1) sample A: Ea = 7. 45 − 8.08 kJ/mol and A = 0.009 − 0.032 Hz for a linear correlation between 0.8241 and 0.8276 and (2) sample B: Ea = 19.36 − 21.94 kJ/mol and A = 0.05 − 0.21 Hz for a linear correlation between 0.9758 and 0.9777.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Drobíková K, Plachá D, Motyka O, Gabor R, Kutláková KM, Vallová S, Seidlerová J (2016) Recycling of blast furnace sludge by briquetting with starch binder: waste gas from thermal treatment utilizable as a fuel. Waste Manage 48:471–477

    Article  Google Scholar 

  2. Purohit A, Swain PTR, Patnaik PK (2020) Mechanical and sliding wear characterization of LD sludge filled hybrid composites. Materials today: proceedings

    Google Scholar 

  3. Das B, Prakash S, Reddy PSR, Misra VN (2007) An overview of utilization of slag and sludge from steel industries. Resour Conserv Recy 50(1):40–57

    Article  Google Scholar 

  4. Cantarino MV (2011) Estudo da remoção de zinco e de álcalis contidos em lamas de aciaria LD. Master thesis, Federal University of Minas Gerais

    Google Scholar 

  5. Buboltz FF, Deves FB, Osorio E, Vilela FAC (2018) Carbothermic reduction of electric arc furnace dust via thermogravimetry. Metallurgy Mater REM, Int Eng J Ouro Preto 71(3):411–418

    Google Scholar 

  6. Gómez-Marroquín MC (2008) Caracterização e cinética da redução de ferrita de zinco presente em poeiras de aciaria por misturas de CO–CO2. Doctoral thesis, Pontifical Catholic University of Rio de Janeiro

    Google Scholar 

  7. Zhang HN, Li JL, Xu AJ, Yang QX, He DF, Tian NY (2014) Carbothermic reduction of zinc and iron oxides in electric arc furnace dust. J Iron Steel Res Int 21(4):427–432

    Article  CAS  Google Scholar 

  8. Chen SY, Fu XJ, Chu MS, Li XZ, Liu ZG, Tang J (2016) Carbothermic reduction mechanism of vanadium-titanium magnetite. J Iron Steel Res Int 23(5):409–414

    Article  Google Scholar 

Download references

Acknowledgements

The authors thank the Research Vice Rectorate and the College of Geological Mining and Metallurgical Engineering Research Institute of the National University of Engineering for the financial assistance granted, without which these programmed experiences could not have been carried out, and thank the Brazilian Steelmaking Company for the background and the samples provided to this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mery C. Gómez-Marroquín .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Minerals, Metals & Materials Society

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gómez-Marroquín, M.C. et al. (2021). Carbothermic Reduction of Brazilian Linz–Donawitz (LD) Steel Sludges. In: Lee, J., Wagstaff, S., Anderson, A., Tesfaye, F., Lambotte, G., Allanore, A. (eds) Materials Processing Fundamentals 2021. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-030-65253-1_8

Download citation

Publish with us

Policies and ethics