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

Authors: Yang Wan; Jia Gu; Ruoyu Chen; Han Ye

Addresses: School of Advanced Manufacturing, Nanchang University, Nan Chang, 330031, China ' School of Advanced Manufacturing, Nanchang University, Nan Chang, 330031, China ' School of Advanced Manufacturing, Nanchang University, Nan Chang, 330031, China ' School of Advanced Manufacturing, Nanchang University, Nan Chang, 330031, China

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.

Keywords: thermal analysis; high chrome cast iron; characteristic values of the cooling curve; C and Cr amount prediction; mathematical regression formula.

DOI: 10.1504/IJCMSSE.2025.146306

International Journal of Computational Materials Science and Surface Engineering, 2025 Vol.12 No.2, pp.142 - 155

Received: 25 Nov 2024
Accepted: 13 Jan 2025
Published online: 20 May 2025 *

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