COMPOSITION DESIGN OF 316LN AUSTENITIC STAINLESS STEEL FOR LIQUID-HYDROGEN STORAGE BASED ON HIGH-FLUX PREPARATION
Abstract
Designing multi-element alloy compositions to achieve target performance was the first step in the development of modern materials, but the traditional trial-and-error experiment seriously restricted the development of new materials due to its low efficiency. In this investigation, the composition design of 316LN austenitic stainless steel for enhanced liquid-hydrogen storage using multi-crucible synchronous metallurgy in a high-flux experiment was proposed. Sixteen groups of as cast austenitic stainless steel samples with different compositions were smelted using high-flux material preparation. Then, through the observation of their microstructures, the chemical composition that best matched the target performance was finally selected. The results show that high-throughput experiments can greatly improve the efficiency of composition design optimization of new stainless steel products. At the same time, this investigation also analyzed the elemental composition of δ-ferrite and the method for effectively controlling the δ-ferrite content. In 316LN stainless steel, Cr and Mo were easily enriched in ferrite grains or grain boundaries, forming Cr and Mo enriched regions. This resulted in a gradient transition of Cr and Mo from the ferrite region to the austenite region, forming galvanic corrosion. In this study, the distribution of Cr, Mo and other elements in 316LN stainless steel was studied by means of a metallographic microscope, electron probe microanalysis, transmission electron microscope and scanning electron microscope. In addition, the relationship between the ferrite content and chemical composition was explored. Finally, it was determined that high-temperature, long-term sensitization treatment is an effective method for controlling the δ-ferrite content.
References
[2]Lv Y Z,Qin Z X,Lu X.Current Research Status of High-throughput Development of Amorphous Alloys[J],Materials Reports A:Review Papers,2017,31(9),112,doi:
10.11896/j.issn.1005-023X.2017.017.016
[3] Liu Y H, Hu Z H, Su Z G, et al.Current Status of High Throughput Experimental Technology and Its Application in Research of Precious Metals [J],Science China Technological Sciences, 2019, 62 (4): 521-545,doi:10.3969/j.issn.1004-0676.2018.z1.014
[4] Wang Jiong, et al. Machine learning assisted high-throughput experiments to accelerate hard high entropy alloys [J], Progress in Materials in China, 2020, 39 (4): 269-277,doi:CNKI:SUN:XJKB.0.2020-04-004
[5] WEN Xiaocan,ZHANG Fan, et al.Second Phase Strengthening in High-Entropy Alloys
[J],Materials China, 2019, ,38(3),53,doi:10.7502/j.issn.1674-3962.2019.03.06
[6] BAO Meilin QIAO Junwei .Research Progress of Hexagonal Close-Packed High-Entropy Alloys [J]Materials China, 2018, 397(4):314-319,doi:10.7502/j.issn.1674-3962.2018.04.03
[7] LI Chenqing HOU Yaqing, et al.Diffusion Dynamic Analysis on Selective Laser Melting Process of Fe/Ni Powder [J], Materials Review ,2020, 34 (Z1): 117-130
[8] Lijianmin, Zhuang Ying, Yin Wei. Formation and control of ferrite in 316H stainless steel [J] Steel, 2022, 57 (11): 123-130,doi:10.13228/j.boyuan.issn0449-749x.20220293
[9] Sedat Aras, Rukiye Ertan. STUDYING THE STRENGTH OF DISSIMILAR JOINTS OF AISI 430 AND 301 STAINLESS STEEL WELDED AT DIFFERENT WELDING PARAMETERS[J] Materials and Technology , 2024, 58 (2): 123-130,doi:10.17222/mit.2023.1054
[10] Pangzongxu, et al.Residual in S31609 austenitic stainless steel δ Corrosion behavior of ferrite [J]. China Metallurgical, 2021, 31 (3): 59-65,doi:10.13228/j.boyuan.issn1006-9356.20200451
[11] Sato Y S, Kokawa H. preferred preference Stit of sigma phase in duplex stainless steel weld mate[J] Scripata Materialia, 1999,40 (6): 659,doi:10.1016/S1359-6462(98)00483-7
[12] Huangfuxiang, Wangxinhua, Wangwanjun. Study on characteristics of residual ferrite in solidification structure of austenitic stainless steel [J]. Iron and Steel, 2012, 47 (4): 74,doi:10.13228/j.boyuan.issn0449-749x.2012.04.006
[13] Donghuijun. Comparative study on microstructure evolution of austenite and ferrite during cyclic deformation [D]. Dalian: Dalian University of technology, 2020,doi:10.26991/d.cnki.gdllu.2019.001550
[14] Wang Jian. Calculation of electronic work function and its application in the study of electrochemical problems on the surface of materials [D]. Hefei: University of science and technology of China, 2016
[15] Pengzhifang, Cailwasheng, Pengfangfang, et al.P92 steel δ Effect of ferrite on the composition and volume fraction of precipitates aged at 700 and 750 ℃ [J]. Acta Metalica Sinica, 2012, 48 (11): 37,doi:CNKI:SUN:JSXB.0.2012-11-007
[16] Schluyer B, barkleit G, Schneider F, etal Analysis of intelligent corrosion attack of stainless steels by means of atomic force microscopy and optical microscopy Part2: influence of imparity cotent[J] Mater Corros, 2015,51 (2): 115,doi:10.1002/(SICI)1521-4176(200002)51:2<115::AID-MACO115>3.0.CO;2-N
[17] B, barkleit G, Schneider F, etal Analysis of intelligent corrosion attack of stainless steels by means of atomic force microscopy and optical microscopy Part1: influence of treatment[J] Mater Corros, 2000,51 (2): 109,doi:10.1002/(SICI)1521-4176(200002)51:2<109::AID-MACO109>3.0.CO;2-B
