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Tytuł artykułu

Influence of Component Proportions in Casting Process on Hardness and the Quality of Cast Iron

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purposes of this study were to investigate the impact of proportions of cast iron scrap, steel scrap, carbon and ferro silicon on hardness and the quality of cast iron and to obtain an appropriate proportion of the four components in iron casting process using a mixture experimental design, analysis of variance and response surface methodology coupled with desirability function. Monte Carlo simulation was used to demonstrate the impacts of different proportions of the four components by varying the proportions of components within ±5% of the four components. Microstructures of the cast iron sample obtained from a company and the cast iron samples casted with the appropriate proportions of the four components were examined to see the differences of size and spacing of pearlite particle. The results showed that linear mixture components were statistically significant implying a high proportion of total variability for hardness of the cast iron samples explained by the casting mixtures of raw materials. The graphite of the sample casted from the appropriate proportion has shorter length and more uniform distribution than that from the company. When varying percentages of the four components within ±5% of the appropriate proportion, simulated hardness values were in the range of 237 to 256 HB.
Rocznik
Strony
35--42
Opis fizyczny
il., tab., wykr.
Twórcy
  • Department of Industrial Engineering, Khon Kaen University, Thailand
autor
  • Department of Industrial Engineering, Khon Kaen University, Thailand
Bibliografia
  • [1] Li, P., Li, X. & Li, F. (2020). A novel recycling and reuse method of iron scraps from machining process. Journal of Cleaner Production. 266, 121732. https://doi.org/10.1016/j.jclepro.2020.121732.
  • [2] Weiss, E., Fedorko, G., Futas, P., Pribulova, A. & Vaskova, I. (2009). Dependence of quality properties for grey iron on used raw materials. Metalurgija. 48(1), 43-45.
  • [3] Janerka, K., Jezierski, J. & Szajnar, J. (2012). Quality and properties of the cast iron produced on the steel scrap base. Archives of Materials Science and Engineering. 53(2), 92-101.
  • [4] Soiński, M.S. & Wawrzyniec, A. (2010). Initial assessment of effectiveness of some selected inoculants for grey cast iron. Archives of Foundry Engineering. 10(2), 155-158. ISSN.
  • [5] Martin, D.R., Moreno, J.R.S. & Vicente, A.A. (2015). Effects of different inoculants on the microstructural characteristics of gray cast iron gg-25, hardness and useful life of tools. Acta Scientiarum. 37, 355-360. DOI: 10.4025/actascitechnol.v37i4.27460.
  • [6] Xue, W. & Li, Y. (2016). Pretreatments of gray cast iron with different inoculants. Journal of Alloys and Compounds. 689, 408-415. https://doi.org/10.1016/j.jallcom.2016.07.052.
  • [7] Hossain, Md. S.S. & Rashid, A. K.M.B.B. (2020). Preconditioning and inoculation of low sulphur grey iron. Archives of Foundry Engineering. 20(1), 61-66. DOI: 10.24425/afe.2020.131284.
  • [8] Petrus, Ł., Bulanowski, A., Kołakowski, J., Brzeżański, M., Urbanowicz, M., Sobieraj, J., Matuszkiewicz, G., Szwalbe, L. & Janerka, K. (2020). The influence of selected melting parameters on the physical and chemical properties of cast iron. Archives of Foundry Engineering. 20(1), 105-110. DOI: 10.24425/afe.2020.131290.
  • [9] Anderson, M.J. & Whitcomb, P.J. (2015). DOE Simplified Practical tools for Effective experimentation. 3rd ed., CRC Press, Boca Raton. ISBN 9781482218947.
  • [10] Scheffe, H. (1958). Experiments with mixtures. Journal of Royal Statistical Society Series B 20. 344-366.
  • [11] Montgomery, D.C. (2005). Design and Analysis of Experiments. 6th ed. New York: Wiley Interscience.
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  • [13] Kul, M., Akgul, B., Oskay, K.O., Alsan, A.E. & Karaca, B. (2021). Optimization of recycled moulding sand composition using the mixture design method. International Journal of Cast Metal Research. 34(2), 104-109. https://doi.org/10.1080/13640461.2021.1936381.
  • [14] Saikaew, C. & Wiengwiset, S. (2012). Optimization of molding sand composition for quality improvement of iron castings. Applied Clay Science. 67-68, 26-31. DOI: 10.1016/j.clay.2012.07.005.
  • [15] Intanon, N., Wisitsoraat, A. & Saikaew, C. (2022). An application of statistical quality tools for process robustness and sustainability of titanium nitride coating on a machine component of a fishing net weaving machine. Journal of Cleaner Production. 363, 132603. DOI: 10.1016/j.jclepro.2022.132603.
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Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a947df9f-80ca-4b73-ac3e-b6093bb530ff
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