Machine learning to predict effect of annealing temperature and time on mechanical properties of SUS321 stainless steel

doi:10.13251/j.issn.0254-6051.2025.01.041

Abstract

Abstract: In order to reveal the complex relationship between mechanical properties and heat treatment process of SUS321 stainless steel, a prediction model between annealing temperature, annealing time and mechanical properties of the SUS321 stainless steel was established by machine learning method based on random forest model. The results show that the prediction validity parameter R² of the model for the tensile strength, yield strength and elongation of the SUS321 stainless steel exceeds 0.8, showing a good prediction effect. The analysis based on partial dependence plots and individual conditional expectation plots shows that with the increase of annealing temperature and annealing time, the tensile strength and yield strength of the SUS321 stainless steel decrease, while the elongation increases, and the annealing temperature is the main feature parameter.

Key words: SUS321 stainless steel, annealing treatment, mechanical properties, machine learning, model interpretation

CLC Number:

TG162.86

Wang Huanhuan, Lu Sujun, Li Yuan, Xu Ning, Zhu Tingxian, Wang Xu, Wei Ning, Wu Dali, Peng Weizhong. Machine learning to predict effect of annealing temperature and time on mechanical properties of SUS321 stainless steel[J]. Heat Treatment of Metals, 2025, 50(1): 266-271.

References

[1]康永海, 李具仓. 304L和321不锈钢耐腐蚀性能研究[J]. 热加工工艺, 2015, 44(6): 81-82, 88.
Kang Yonghai, Li Jucang. Corrosion resistance of 304L and 321 stainless steel[J]. Hot Working Technology, 2015, 44(6): 81-82, 88.
[2]魏杰, 郭振, 冯凯, 等. 固溶处理和稳定化处理对321不锈钢性能的影响[J]. 铸造技术, 2011, 32(12): 1652-1653.
Wei Jie, Guo Zhen, Feng Kai, et al. Effects of solution and stabilizing treatments on properties of stainless steel 321[J]. Foundry Technology, 2011, 32(12): 1652-1653.
[3]王畅. TP321奥氏体不锈钢晶间腐蚀与晶界特征分布研究[D]. 南京: 东南大学, 2022.
Wang Chang. Study on intergranular corrosion and grain boundary characteristic distribution of TP321 austenitic steel[D]. Nanjing: Southeast University, 2022.
[4]杨柳青. 321不锈钢极薄带轧制实验及组织性能研究[D]. 沈阳: 东北大学, 2020.
Yang Liuqing. Study on rolling experiment and microstructure and properties of 321 stainless steel foil[D]. Shenyang: Northeastern University, 2020.
[5]程洪, 葛美伶, 司天宇, 等. 机器学习辅助金属材料力学性能预测[J]. 材料研究与应用, 2023, 17(6): 1070-1077.
Cheng Hong, Ge Meiling, Si Tianyu, et al. Machine learning-assisted prediction of mechanical properties of metallic materials[J]. Materials Research and Application, 2023, 17(6): 1070-1077.
[6]李丰范, 匡健隆, 季佳浩, 等. 机器学习在金属材料服役性能预测中的应用[J]. 工程科学学报, 2024, 46(1): 120-136.
Li Fengfan, Kuang Jianlong, Ji Jiahao, et al. Application of machine learning for predicting the service performance of metallic materials[J]. Chinese Journal of Engineering, 2024, 46(1): 120-136.
[7]雷雨田, 王庆凯, 王旭. 基于动态随机森林算法的铜浮选精矿品位预测[J]. 矿冶, 2022, 31(6): 110-113.
Lei Yutian, Wang Qingkai, Wang Xu. Grade prediction of copper flotation concentrate based on dynamic random forest algorithm[J]. Mining and Metallurgy, 2022, 31(6): 110-113.
[8]张东坤. 316L不锈钢增材制造工艺与力学性能相关性大数据研究[D]. 芜湖: 安徽工程大学, 2023.
Zhang Dongkun. Study on preparation process and mechanical performance correlation big data of additive manufacturing 316L stainless steel[D]. Wuhu: Anhui Polytechnic University, 2023.

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