Application of Grain Boundary Engineering to Improve Intergranular Corrosion Resistance in a Fe–Cr–Mn–Mo–N High-Nitrogen and Nickel-Free Austenitic Stainless Steel
来源期刊：Acta Metallurgica Sinica2020年第6期
论文作者：Feng Shi Ruo-Han Gao Xian-Jun Guan Chun-Ming Liu Xiao-Wu Li
文章页码：789 - 798
摘 要：Optimization of grain boundary engineering（GBE） process is explored in a Fe–20Cr–19Mn–2Mo–0.82N high-nitrogen and nickel-free austenitic stainless steel, and its intergranular corrosion（IGC） property after GBE treatment is experimentally evaluated. The proportion of low Σ coincidence site lattice（CSL） boundaries reaches 79.4% in the sample processed with 5% cold rolling and annealing at 1423 K for 72 h; there is an increase of 32.1% compared with the solution-treated sample. After grain boundary character distribution optimization, IGC performance is noticeably improved. Only Σ3 boundaries in the special boundaries are resistant to IGC under the experimental condition. The size of grain cluster enlarges with increasing fraction of low ΣCSL boundaries, and the amount of Σ3 boundaries interrupting the random boundary network increases during growth of the clusters, which is the essential reason for the improvement of IGC resistance.
Feng Shi1，Ruo-Han Gao1，Xian-Jun Guan1，Chun-Ming Liu2，Xiao-Wu Li1,2
1. Department of Materials Physics and Chemistry,School of Materials Science and Engineering,Northeastern University2. Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education),Northeastern University
摘 要：Optimization of grain boundary engineering（GBE） process is explored in a Fe–20Cr–19Mn–2Mo–0.82N high-nitrogen and nickel-free austenitic stainless steel, and its intergranular corrosion（IGC） property after GBE treatment is experimentally evaluated. The proportion of low Σ coincidence site lattice（CSL） boundaries reaches 79.4% in the sample processed with 5% cold rolling and annealing at 1423 K for 72 h; there is an increase of 32.1% compared with the solution-treated sample. After grain boundary character distribution optimization, IGC performance is noticeably improved. Only Σ3 boundaries in the special boundaries are resistant to IGC under the experimental condition. The size of grain cluster enlarges with increasing fraction of low ΣCSL boundaries, and the amount of Σ3 boundaries interrupting the random boundary network increases during growth of the clusters, which is the essential reason for the improvement of IGC resistance.
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