journal article·2024-03Open access

Method of raw materials selection for production of the MgO‐C bricks of comparable properties using PCA and K‐medoids

Sebastian Sado

Abstract

Abstract MgO‐C refractories are zonally installed in most of the key heat devices of steel and iron metallurgy with the exposure to various corrosive factors. One of the most significant factors is low‐temperature decarburization resulting in the oxidation of carbon in MgO‐C refractories and loss of its properties. Moreover MgO‐C materials are exposed for direct attack of liquid slag or steel melt which easily infiltrate the porous, decarburized hot face of the bricks. Cost of MgO‐C materials of high quality is important for refractories user. For this reason researches try to develop materials of high quality but with lower cost by substituting fused raw materials with sintered ones or with recycled MgO‐C. In this article, method of selecting the raw materials for production of MgO‐C bricks with comparable properties is shown. Twenty different variants of MgO‐C materials were prepared with the use of various quality raw materials. Basic properties of the industrially produced MgO‐C bricks were measured. To select recipes with similar quality principal components analysis method and K‐medoids algorithm were applied. To verify the results corrosion resistance of selected MgO‐C materials were tested with the use of induction furnace of medium frequency.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced ceramic materials synthesis · Metallurgical Processes and Thermodynamics · Magnesium Oxide Properties and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Zakłady Magnezytowe ROPCZYCE S.A. Research and Development Centre of Ceramic Materials Ropczyce Poland

AGH University of Science and Technology Faculty of Material Science and Ceramics Kraków Poland

References (63)

Show source-provided references
1. Nadachowski F · 1997 · 17
2. Praktyczne aspekty niskotemperaturowego utleniania materiałów ogniotrwałych typu MgO‐C
3. 10.1016/j.jeurceramsoc.2021.07.02310.1016/j.jeurceramsoc.2021.07.023 ↗
4. 10.1016/j.jeurceramsoc.2018.03.03510.1016/j.jeurceramsoc.2018.03.035 ↗
5. 10.1016/j.jeurceramsoc.2006.03.00110.1016/j.jeurceramsoc.2006.03.001 ↗
6. 10.1016/S0955-2219(00)00308-310.1016/S0955-2219(00)00308-3 ↗
7. 10.1016/j.ceramint.2012.04.00910.1016/j.ceramint.2012.04.009 ↗
8. 10.1016/j.matchemphys.2019.12193510.1016/j.matchemphys.2019.121935 ↗
9. 10.1016/j.ceramint.2019.07.08610.1016/j.ceramint.2019.07.086 ↗
10. 10.1016/j.ceramint.2006.10.00410.1016/j.ceramint.2006.10.004 ↗
11. 10.1016/j.ceramint.2021.09.22310.1016/j.ceramint.2021.09.223 ↗
12. 10.1016/j.ceramint.2020.04.29810.1016/j.ceramint.2020.04.298 ↗
13. 10.1016/j.surfcoat.2014.11.03510.1016/j.surfcoat.2014.11.035 ↗
14. 10.1016/j.ceramint.2011.05.14710.1016/j.ceramint.2011.05.147 ↗
15. 10.1016/j.ceramint.2020.09.09910.1016/j.ceramint.2020.09.099 ↗
16. 10.1016/j.ceramint.2019.10.01010.1016/j.ceramint.2019.10.010 ↗
17. 10.1016/S1003-6326(12)61818-410.1016/S1003-6326(12)61818-4 ↗
18. 10.1007/s11085-021-10083-210.1007/s11085-021-10083-2 ↗
19. 10.1016/j.ceramint.2022.06.01010.1016/j.ceramint.2022.06.010 ↗
20. 10.1016/j.ceramint.2022.02.01710.1016/j.ceramint.2022.02.017 ↗
21. 10.1007/s42243-021-00695-y10.1007/s42243-021-00695-y ↗
22. 10.1016/j.mspro.2015.04.06810.1016/j.mspro.2015.04.068 ↗
23. 10.1016/j.ceramint.2021.01.00710.1016/j.ceramint.2021.01.007 ↗
24. Routschka G · 2012 · 86
25. 10.1111/j.1151-2916.1943.tb14452.x10.1111/j.1151-2916.1943.tb14452.x ↗
26. Kracek FC · 1963 · D18
27. 10.1016/j.jeurceramsoc.2022.09.03210.1016/j.jeurceramsoc.2022.09.032 ↗
28. HouA JinS GruberD HarmuthH.Modelling of a steel ladle and prediction of its thermomechanical behaviour by finite element simulation together with artificial neural network approaches. In:Congress of Numerical Methods In Engineering; 1–3 July 2019;Guimaraes Portugal.
29. 10.1002/srin.20190011610.1002/srin.201900116 ↗
30. 10.3390/app914283510.3390/app9142835 ↗
31. Use of machine learning for modelling the wear of MgO‐C refractories in basic oxygen furnace
32. 10.1007/s11663-022-02569-410.1007/s11663-022-02569-4 ↗
33. Funk JE · 1994 · 7510.1007/978-1-4615-3118-0_6 ↗
34. 10.1016/j.jeurceramsoc.2006.04.14510.1016/j.jeurceramsoc.2006.04.145 ↗
35. 10.1016/j.jeurceramsoc.2015.08.01210.1016/j.jeurceramsoc.2015.08.012 ↗
36. 10.1016/j.jenvman.2021.11240810.1016/j.jenvman.2021.112408 ↗
37. 10.1016/j.cocom.2022.e0066710.1016/j.cocom.2022.e00667 ↗
38. 10.1016/j.dib.2021.10732310.1016/j.dib.2021.107323 ↗
39. Multivariate statistical data analysis—principal component analysis (PCA)
40. 10.1007/0-387-22440-8_210.1007/0-387-22440-8_2 ↗
41. 10.1002/0471271357.ch1210.1002/0471271357.ch12 ↗
42. 10.1007/978-1-4419-9650-3_310.1007/978-1-4419-9650-3_3 ↗
43. FactoMineR: an R package for multivariate analysis
44. Kassambara A · 2017 · 48
45. 10.3390/app1121986810.3390/app11219868 ↗
46. 10.3390/app1216798510.3390/app12167985 ↗
47. 10.3390/bioengineering904017510.3390/bioengineering9040175 ↗
48. 10.3390/electronics1119307110.3390/electronics11193071 ↗
49. 10.3390/app903050510.3390/app9030505 ↗
50. 10.3390/app916324610.3390/app9163246 ↗
51. Aggarwal CC · 2015 · 16410.1007/978-3-319-14142-8 ↗
52. The elements of statistical learning
53. Izenman AJ · 2008
54. Kassambara A · 2017
55. Izenman AJ · 2008 · 426
56. 10.2307/233370910.2307/2333709 ↗
57. 10.1002/047145850310.1002/0471458503 ↗
58. Ming Hui EG · 2019 · 117
59. 10.1080/01621459.1952.1048344110.1080/01621459.1952.10483441 ↗
60. Devore JL · 2007
61. BrownGW MoodAM.On median tests for linear hypotheses. In:Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability; 31 July–12 August 1951;Berkeley California;1951. p. 159–166.https://projecteuclid.org/ebooks/berkeley-symposium-on-mathematical-statistics-and-probability/Proceedings%20of%20the%20Second%20Berkeley%20Symposium%20on%20Mathematical%20Statistics%20and%20Probability/chapter/On%20Median%20Tests%20for%20Linear%20Hypotheses/bsmsp/1200500226
62. Mood AM · 1974
63. Dalgaard P · 2002