Prediction of C/Cr amount and mechanical properties of high chromium cast iron using thermal analysis technique

The detection of C and Cr elements in the production process of high chromium cast iron mainly uses spectrometer. These instruments are expensive and have a long detection time. In this study, the relationship between the characteristic values of the cooling curve and the chemical composition of high-chromium cast iron with a C amount range of 3.63-3.94% and a Cr amount range of 15.17-26.64% was investigated. The mathematical regression formulas for predicting C/Cr amount and mechanical properties were established by SPSS software. The results show that the mathematical regression formula between C amount and temperature characteristic value is C% = -0.00668TL + 0.00162TE + 10.0867. For sub-eutectic high chromium cast iron, the mathematical regression formula between Cr amount and temperature characteristic value is Cr% = -0.04928TL + 0.16223TE - 117.0489. For eutectic high chromium cast iron, the mathematical regression formula is Cr% = 0.2238TL - 258.0879. Mathematical regression model between toughness, hardness and various temperature characteristic values are ak = 0.06075TL + 0.09318TE - 43.296 and HRC = -0.40779TL + 0.32379TE + 165.527.

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Publication Details

Journal
International Journal of Computational Materials Science and Surface Engineering
Published
2025-01-01
DOI
https://doi.org/10.1504/ijcmsse.2025.146306
Primary Topic
Metal Alloys Wear and Properties
Type
article
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article

Prediction of C/Cr amount and mechanical properties of high chromium cast iron using thermal analysis technique

Ye Han, Jia Gu, Ruoyu Chen, Yang Wan
International Journal of Computational Materials Science and Surface Engineering
Metal Alloys Wear and Properties
article

Prediction of C/Cr amount and mechanical properties of high chromium cast iron using thermal analysis technique

Ye Han, Jia Gu, Ruoyu Chen, Yang Wan
article en

Abstract

The detection of C and Cr elements in the production process of high chromium cast iron mainly uses spectrometer. These instruments are expensive and have a long detection time. In this study, the relationship between the characteristic values of the cooling curve and the chemical composition of high-chromium cast iron with a C amount range of 3.63-3.94% and a Cr amount range of 15.17-26.64% was investigated. The mathematical regression formulas for predicting C/Cr amount and mechanical properties were established by SPSS software. The results show that the mathematical regression formula between C amount and temperature characteristic value is C% = -0.00668TL + 0.00162TE + 10.0867. For sub-eutectic high chromium cast iron, the mathematical regression formula between Cr amount and temperature characteristic value is Cr% = -0.04928TL + 0.16223TE - 117.0489. For eutectic high chromium cast iron, the mathematical regression formula is Cr% = 0.2238TL - 258.0879. Mathematical regression model between toughness, hardness and various temperature characteristic values are ak = 0.06075TL + 0.09318TE - 43.296 and HRC = -0.40779TL + 0.32379TE + 165.527.

International Journal of Computational Materials Science and Surface EngineeringVol. 12(2)
Nanchang University (CN)
Openalex Percentile: Top 92%
Metal Alloys Wear and Properties
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Prediction of C/Cr amount and mechanical properties of high chromium cast iron using thermal analysis technique — Ye Han, Jia Gu, et al. · International Journal of Computational Materials Science and Surface Engineering (2025) | TGRS Research Map | TGRS