Journal of Shanghai University(Natural Science Edition) ›› 2022, Vol. 28 ›› Issue (3): 558-568.doi: 10.12066/j.issn.1007-2861.2374
• Microstructure Image Recognition and Microstructure Analysis • Previous Articles
SHEN Ping, LI Jie, ZHANG Hao, FU Jianxun()
Received:
2022-02-21
Online:
2022-06-30
Published:
2022-05-27
Contact:
FU Jianxun
E-mail:fujianxun@shu.edu.cn
CLC Number:
SHEN Ping, LI Jie, ZHANG Hao, FU Jianxun. Analysis of nozzle clogging in the production of non-quenched and tempered, tellurium-containing 38MnVS6 steel[J]. Journal of Shanghai University(Natural Science Edition), 2022, 28(3): 558-568.
[1] | Zhang Y J, Chen S L, Dong H, et al. Development and application of non-quenched and tempered steel for auto forging components in China[J]. Journal of Iron and Steel Research, International, 2011, 18(S1): 735-741. |
[2] | 马强, 张坤, 孟高原, 等. 非调质钢在工程机械支重轮轴上的应用[J]. 金属加工(热加工), 2012(S2): 195-196. |
[3] | 邵成伟. 不同钒含量中碳非调质钢的形变行为及疲劳性能[D]. 云南: 昆明理工大学, 2014: 1-2. |
[4] | 艾克南, 谢剑波, 曾志崎, 等. 镁对非调质钢中组织及硫化物的影响[J]. 钢铁研究学报, 2019, 31(4): 361-367. |
[5] |
Shen P, Fu J. Morphology study on inclusion modifications using Mg-Ca treatment in resulfurized special steel[J]. Materials, 2019, 12(2): 197.
doi: 10.3390/ma12020197 |
[6] |
Liu H, Huang Z Z, Yu D J, et al. Effect of cooling rate on microstructure and inclusion in non-quenched and tempered steel during horizontal directional solidification[J]. Journal of Iron Steel Research, International, 2019, 26(9): 973-982.
doi: 10.1007/s42243-019-00282-2 |
[7] | 鲁金龙. 大规格曲轴用非调质钢中 MnS 形成机理及控制工艺研究[D]. 北京: 北京科技大学, 2019: 38-39. |
[8] | 沈平, 王冬, 张浩, 等. 碲对硫化物轧制变形行为影响的研究[J]. 钢铁钒钛, 2021, 42(3): 180-186. |
[9] | Wu X, Wu L P, Xie J B, et al. Modification of sulfide by Te in Y1Cr13 free-cutting stainless steel[J]. Metallurgical Research & Technology, 2020, 117(1): 107. |
[10] | 曾志崎, 杨乾坤, 艾克南, 等. 49MnVS 非调质钢水口堵塞原因分析[J]. 钢铁, 2019, 54(1): 49-54; 76. |
[11] | 姚永宽, 朱明伟, 王德永, 等. 中间包喂稀土水口结瘤机理的研究[J]. 稀土, 2004, 25(5): 17-19. |
[12] |
Zhang D, Shen P, Xie J B, et al. A method for observing tridimensional morphology of sulfide inclusions by non-aqueous solution electrolytic etching[J]. Journal of Iron and Steel Research, International, 2019, 26(3): 275-284.
doi: 10.1007/s42243-018-0142-z |
[13] |
Yang G, Wang X. Inclusion evolution after calcium addition in low carbon Al-killed steel with ultra low sulfur content[J]. ISIJ International, 2015, 55(1): 126-133.
doi: 10.2355/isijinternational.55.126 |
[14] | 蔡小锋, 包燕平, 林路. 钙处理过程夹杂物演变及热力学分析[J]. 工程科学学报, 2016, 38(S1): 32-36. |
[15] |
Sun G D, Sui Y F, Wang C G, et al. Thermodynamic calculation on calcium treatment for 26CrMo4S/2 steel[J]. Journal of Iron and Steel Research, International, 2014, 21(S1): 61-64.
doi: 10.1016/S1006-706X(14)60122-9 |
[16] | 郭汉杰. 冶金物理化学教程 [M]. 第 2 版. 北京: 冶金工业出版社, 2006: 41-42. |
[17] | 陈家祥. 炼钢常用图表数据手册[M]. 北京: 冶金工业出版社, 1984: 513-515. |
[18] | 秦正丰, 薛正良, 李金波, 等. 钙处理钢中大型球状及棒状夹杂的成因[J]. 钢铁, 2020, 55(5): 31-38. |
[19] |
Zhang T S, Wang D Y, Liu C W, et al. Modification of inclusions in liquid iron by Mg treatment[J]. Journal of Iron and Steel Research, International, 2014, 21(S1): 99-103.
doi: 10.1016/S1006-706X(14)60130-8 |
[20] | 孙波, 张良明, 吴耀光, 等. 马钢 SPHC 钢钙处理的热力学分析[J]. 中国冶金, 2017, 27(1): 50-54. |
[21] | 俞海明. 转炉钢水的炉外精炼技术[M]. 北京: 冶金工业出版社, 2011: 264. |
[22] | 吕铭, 王博, 王德永, 等. 镁处理对钢中非金属夹杂物的控制效果[J]. 炼钢, 2014, 30(5): 1-4. |
[23] | Shen P, Yang Q K, Zhang D, et al. Application of tellurium in free-cutting steels[J]. Journal of Iron & Steel Research International, 2018, 25(8): 787-795. |
[24] |
Shen P, Yang Q Q, Zhang D, et al. The effect of tellurium on the formation of MnTe-MnS composite inclusions in non-quenched and tempered steel[J]. Metals, 2018, 8(8): 639.
doi: 10.3390/met8080639 |
[25] | Shen P, Zhou L, Yang Q K, et al. Modification of MnS inclusion by tellurium in 38MnVS6 micro-alloyed steel[J]. Metallurgical Research & Technology, 2020, 117(6): 615. |
[26] | Liu H, Hu D L, Wu Y X, et al. Study of manganese sulfide precipitation in medium sulfur, non-quenched and tempered steel via experiments and thermodynamic calculation[J]. Metallurgical Research & Technology, 2018, 115(6): 605. |
[27] | 吴晓东, 郭登仰, 谈盛康, 等. 20CrMo 齿轮钢钙处理对夹杂物变性效果分析[J]. 热加工工艺, 2012, 41(23): 22-25. |
[28] | Ganesh I, Bhattacharjee S, Saha B P, et al. An efficient MgAl$_{2}$O$_{4}$ spinel additive for improved slag erosion and penetration resistance of high-Al$_{2}$O$_{3}$ and MgO-C refractories[J]. Geramics International, 2002, 28(3): 245-253. |
[29] | Shin J H, Park J H. Modification of inclusions in molten steel by Mg-Ca transfer from top slag: experimental confirmation of the ` refractory-slag-metal-inclusion (ReSMI)' multiphase reaction model[J]. Metallurgical & Materials Transactions B, 2017, 48(6): 2820-2825. |
[30] | 杨伶俐. 管线钢 LF 精炼效果分析[J]. 炼钢, 2012, 28(6): 37-39; 59. |
[31] | 郭建龙. 基于碳, 氧, 温度协调控制的超低碳钢 RH 关键技术研究[D]. 北京: 北京科技大学, 2019: 30. |
[32] | 李文平, 陈俊红, 李士明, 等. 不同 MgO 含量铝镁酸钙精炼剂对镁碳材料的动态蚀损[J]. 硅酸盐学报, 2014, 42(9): 1173-1178. |
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