期刊文献+

细晶态FGH96热成型时的流动行为研究 被引量:5

Flow Behavior Study on Fine-Grain FGH96 P/M Superalloy During Hot Deformation
下载PDF
导出
摘要 通过热模拟试验 ,对细晶态FGH96合金的高温流动特性进行了研究 ,分别从宏观和微观上对影响FGH96流动特性的因素 (变形温度、变形速率和变形程度以及Z因子和动态再结晶晶粒尺寸等 )作了系统分析。结果表明 :变形温度、变形速率和变形程度对流动应力和再结晶晶粒尺寸均有不同程度的影响。在此基础上 ,建立了细晶态FGH96合金热成型时的本构模型 ,该模型充分考虑了变形温度、变形速率和变形程度对流动应力的影响 。 The hot deformation behavior of FGH96 superalloy has been characterized in the temperature range of 1050-1100^DDGC and the strain rate range 0.001-0.1 /s by hot compressive simulation experiments on the fine-grain material. From the macroscopic and microscopic views, the correlation between flow stress of FGH96 and influencing factors (such as process parameters-deformation temperature, deformation rate and deformation degree, Zener-Hollomon parameter and grain size) was analyzed systematically. Flow curves show that the material exhibits dynamic recovery and dynamic recrystallization during deformation. The influences of deformation temperature, deformation rate and deformation degree on the flow stress and grain size are different. The deformation degree mainly influences the shape of flow curves. On the basis of systematic analysis and study, a phenomenological constitutive relationship model is established through a mathematical regression by taking the strain as a modification factor. The calculated and experimental values are in good agreement. Therefore, the essential prerequisite is created for the improvement of numerical simulation accuracy and for the rational choice of process parameters for FGH96 superalloy.
出处 《航空学报》 EI CAS CSCD 北大核心 2003年第3期278-281,共4页 Acta Aeronautica et Astronautica Sinica
基金 航空基础科学基金 (98H5 30 68) "十五"航空预研项目 西北工业大学博士论文创新基金 (2 0 0 2 12 )资助
关键词 FGH96合金 细晶态 热成型 流变模型 Z因子 Flow of fluids Forming Hot pressing Recrystallization (metallurgy)
  • 相关文献

参考文献7

  • 1王旭青.FGH96高温合金粉末显微组织及夹杂分析[J].粉末冶金技术,2001,19(2):70-73. 被引量:10
  • 2何宜柱,陈大宏,雷廷权,齐藤良行.形变Z因子与动态再结晶晶粒尺寸间的理论模型[J].钢铁研究学报,2000,12(1):26-30. 被引量:38
  • 3Gronostajski Z. The constitutive equations of FEM analysis[J]. J Mater Process Teehnol, 2000, 106: 40-44.
  • 4Rao K P, Hawbolt E B. Development of constitutive relationships using compression testing of a medium carbon steel[J].Transactions of ASME, 1992, 114(1) : 116- 123.
  • 5Brand A J, Karhauson K, Kopp R. Microstructural simulation of nickd base alloy incond 718 in production of turbine disks[J].Materials Science and Technology, 1996, 12(11) : 963 - 969.
  • 6Medeiros S C, Prasad Y V R K, Frazier W G, et al. Microstructural modeling of metadynamic recrystaUization in hot working of IN 718 superaUoy[J]. Materials Science and Engineering, 2000, A293: 198- 207.
  • 7Sellars C M. Hot working and forming processes[A]. Sellers C M, Davies G J eds. Proceedings of the Conference of Hot Working and Forming Processes[C]. London: IMS, 1980. 3 -11.

二级参考文献5

  • 1He Yizhu,HSLA’95 Conference Proceedings,1995年,163页
  • 2Samuel F H,ISI J Int,1990年,30卷,3期,216页
  • 3龚章汉,高温合金粉末中非金属夹杂物的鉴定,1990年
  • 4赖和怡,北京钢铁学院学报,1987年
  • 5何宜柱,陈大宏,雷廷权.热变形动态软化本构模型[J].钢铁,1999,34(9):29-33. 被引量:20

共引文献46

同被引文献38

  • 1王淑云,李惠曲,计晟,杨洪涛,谭勇,李辉忠.等温锻造FGH96合金超塑性研究[J].航空材料学报,2003,23(z1):25-28. 被引量:9
  • 2李久胜,石松伟,陈宇,康达昌.充液拉深装备中压边压力闭环控制系统调节器的设计[J].锻压技术,2005,30(2):32-35. 被引量:2
  • 3潘江峰,钟约先,袁朝龙.基于遗传算法和神经网络技术的板料拉深成形参数优化[J].锻压技术,2006,31(6):44-46. 被引量:7
  • 4崔建.P/M Rene’95合金等温成形于STMP工艺研究[D].北京:北京航空材料研究所,1995.
  • 5[苏]C.A.多夫拉尔著.热模锻模具强化和破坏的热力学.北京:国防工业出版社,1988.
  • 6Kobayashi S,Oh S I,Altan T.Metal forming and the finite element method.New York: Oxford University press, 1989.
  • 7Li M,Liu X,Wu S,et al. Approach to constitutive relationships of a Ti-5Al-2Sn-2Zr-4Cr-4Mo alloy by artificial neural networks [J]. Materials Science and Technology,1998,14: 136-138.
  • 8Ghaboussi J,Jr Garrett J H,Wu X. Knowledge-based modeling of material behavior with neural networks[J]. Journal of Engineering Mechanics,ASCE,1991,117(1): 132-153.
  • 9Wu R H,Liu J T,Chang H B,et al. Prediction of the flow stress of 0.4C-1.9Cr-1.5Mn-1.0Ni-0.2Mo steel during hot deformation[J]. Journal of Materials Processing Technology,2002,116: 211-218.
  • 10Rao K R,Prasad Y K D V. Neural network approach to flow stress evaluation in hot deformation[J]. Journal of Materials Processing Technology,1995,53: 552-566.

引证文献5

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部