Realizing Ultra-fast Spheroidization of GCr15 Bearing Steel by Analyzing the Correlation of Carbide Dissolution Law and Pulsed Electric Current Parameters Through Machine Learning

IF 3.9 2区材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING

Acta Metallurgica Sinica-English Letters Pub Date : 2025-04-10 DOI:10.1007/s40195-025-01852-y

Zhongxue Wang, Le Ren, Yating Zhang, Mengcheng Zhou, Xinfang Zhang

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Abstract

Traditional heat treatment methods require a significant amount of time and energy to affect atomic diffusion and enhance the spheroidization process of carbides in bearing steel, while pulsed current can accelerate atomic diffusion to achieve ultra-fast spheroidization of carbides. However, the understanding of the mechanism by which different pulse current parameters regulate the dissolution behavior of carbides requires a large amount of experimental data to support, which limits the application of pulse current technology in the field of heat treatment. Based on this, quantify the obtained pulse current processing data to create an important dataset that could be applied to machine learning. Through machine learning, the mechanism of mutual influence between carbide regulation and various factors was elucidated, and the optimal spheroidization process parameters were determined. Compared to the 20 h required for traditional heat treatment, the application of pulsed electric current technology achieved ultra-fast spheroidization of GCr15 bearing steel within 90 min.

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通过机器学习分析碳化物溶解规律与脉冲电流参数的相关性，实现GCr15轴承钢超快速球化

传统的热处理方法需要大量的时间和能量来影响原子扩散，增强轴承钢中碳化物的球化过程，而脉冲电流可以加速原子扩散，实现碳化物的超快速球化。然而，了解不同脉冲电流参数调节碳化物溶解行为的机理需要大量的实验数据支持，这限制了脉冲电流技术在热处理领域的应用。在此基础上，量化获得的脉冲电流处理数据，创建一个可以应用于机器学习的重要数据集。通过机器学习，阐明了碳化物调控与各种因素相互影响的机理，确定了最佳球化工艺参数。与传统热处理所需的20 h相比，脉冲电流技术的应用在90 min内实现了GCr15轴承钢的超快速球化。

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来源期刊

Acta Metallurgica Sinica-English Letters METALLURGY & METALLURGICAL ENGINEERING-

CiteScore

6.60

自引率

14.30%

发文量

122

审稿时长

2 months

期刊介绍： This international journal presents compact reports of significant, original and timely research reflecting progress in metallurgy, materials science and engineering, including materials physics, physical metallurgy, and process metallurgy.