EI、Scopus 收录
中文核心期刊

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

宏微观耦合本构模型参数识别取值范围研究

曲杰 覃威 金泉林

曲杰, 覃威, 金泉林. 宏微观耦合本构模型参数识别取值范围研究[J]. 力学学报, 2014, 46(6): 920-930. doi: 10.6052/0459-1879-14-049
引用本文: 曲杰, 覃威, 金泉林. 宏微观耦合本构模型参数识别取值范围研究[J]. 力学学报, 2014, 46(6): 920-930. doi: 10.6052/0459-1879-14-049
Qu Jie, Qin Wei, Jin Quanlin. STUDY ON THE PARAMETER VALUE DOMAIN OF MACRO-MICRO CONSTITUTIVE MODEL[J]. Chinese Journal of Theoretical and Applied Mechanics, 2014, 46(6): 920-930. doi: 10.6052/0459-1879-14-049
Citation: Qu Jie, Qin Wei, Jin Quanlin. STUDY ON THE PARAMETER VALUE DOMAIN OF MACRO-MICRO CONSTITUTIVE MODEL[J]. Chinese Journal of Theoretical and Applied Mechanics, 2014, 46(6): 920-930. doi: 10.6052/0459-1879-14-049

宏微观耦合本构模型参数识别取值范围研究

doi: 10.6052/0459-1879-14-049
基金项目: 国家重大科技专项资助项目(2011ZX04014-51).
详细信息
    作者简介:

    曲杰,副教授,主要研究方向:金属成形及参数识别理论.

  • 中图分类号: TG30

STUDY ON THE PARAMETER VALUE DOMAIN OF MACRO-MICRO CONSTITUTIVE MODEL

Funds: The project was supported by the National Major Scientific and Technological Special Project (2011ZX04014-51).
  • 摘要: 宏微观耦合本构模型的参数识别往往通过反分析方法进行,为了使参数识别结果具有高的置信度,需要确定合适的参数取值范围. 基于动态再结晶过程的微观机理以及相应本构方程的数学特征,提出一个确定参数取值范围的方法. 首先详细给出考虑动态再结晶的黏塑性本构模型,并根据模型构造物理机理,提出通过6 步确定该模型参数取值范围的方法;其次,对300M 低合金钢进行不同温度、应变速率下的热变形试验,测试宏观的流动应力-应变数据及微观的组织数据;然后应用提出的方法,依据试验数据,确定参数取值范围;最后,基于确定参数取值范围中获得的知识,对模型进行局部修改,使模型模拟结果更接近实验结果.

     

  • Momenia A, Ebrahimib GR, Jahazic M, et al. Microstructure evolution at the onset of discontinuous dynamic recrystallization: A physics-based model of subgrain critical size. Journal of Alloys and Compounds, 2014, 587(2): 199-210
    Nie LF, Zhang LW, Zhu Z, et al. Constitutive modeling of dynamic recrystallization kinetics and processing maps of solution and aging FGH96 superalloy. Journal of Materials Engineering and Erformance, 2013, 22(12): 3728-3734  
    Li HW, Wu Ch, Yang H. Crystal plasticity modeling of the dynamic recrystallization of two-phase titanium alloys during isothermal processing. International Journal of Plasticity, 2013, 51(11): 271-291
    金泉林. 一个新的动态再结晶过程的分析模型. 塑性工程学报,1994, 1(1): 3-14 (Jin Quanlin. A new dynamic recrystallization analytical model. Journal of Plasticity Engineering, 1994, 1(1): 3-14 (in Chinese))
    Qu J, Jin QL, Xu BY. Some improvements in visco-plastic model considering dynamic recrystallization. Acta Mechanica Sinca, 2004, 20 (5): 499-506  
    Qu J, Jin QL, Xu BY. Parameter identification for improved viscoplastic model considering dynamic recrystallization. International Journal of Plasticity, 2005, 21 (7): 1267-1302  
    曲杰. 宏微观耦合本构模型参数参数识别面临的困境.见: 刘应华, 刘凯欣, 宁建国编. 塑性力学新进展——2011年全国塑性力学会议论文集. 北京:清华大学出版社, 2011: 150-155 (Qu Jie. Parameter identification challenges in Macro-micro coupled constitutive model. In: Liu Yinghua, Liu Kaixin, Ning Jianguo eds. Advances in Plastic Mechanics—2011 China Plastic Mechanics Conference Proceeding. Beijing: Tsinghua University Press, 2011: 150-155 (in Chinese))
    Mahnken R, Stein E. Parameter identification for viscoplastic models based on analytical derivatives of a least-squares functional and stability investigations. International Journal of Plasticity, 1996, 12: 451-479  
    Tanake K, Nakamura T, Hosida Y, et al. Determination of the constants in the Zener-Hollomon hyperbolic equation for high temperature deformation. Res Mechanica, 1984, 12(1): 41-57
    Cingara A, Mcqueen HJ. New method for determining sinh constitutive constants for high temperature of 300 austenitic. Journal of Materials Processing Technology, 1992, 36: 17-12  
    魏海莲,刘国权,肖翔等. 表观的和基于物理的35Mn2钢奥氏体热变形本构分析. 金属学报,2013,49(6):731-738 (Wei Hailian, Liu Guoquan, Xiao Xiang, et al. Apparent and physically based constitutive analysis for hot deformation of austenite in 35Mn2 steel. Acta Metallurgica Sinca, 2013, 49(6): 731-738 (in Chinese))
    Morris C. Self-diffusion during plastic deformation. Materials transactions, JIM, 1970, 11: 145-151
    Press WH, Flannery BP, Teukolsky SA, et al. Numerical Recipes Source Code: The Art of Scientific Computing(3rd). UK, Cambridge: Cambridge University Press, 2007
    Mcqueen J, Ryan ND. Constitutive analysis in hot working. Materials Science and Engineering A, 2002, 322: 43-63  
    余永宁, 刘国权. 体视学——组织定量分析的原理和应用. 北京:冶金工业出版社,1989 (Yu Yongning, Liu Guoquan. Stereology—Metallographical Quantitative Analysis Theory and Its Application. Beijing: Metallurgical Industry Press, 1989 (in Chinese))
    宋余九. 金属的晶界与强度. 西安:西安交通大学出版社, 1987 (Song Yujiu. Metal Grain Boundary and Its Strength. Xian: Xian Jiaotong University Press, 1987 (in Chinese))
    Heverlee PD. An algorithm for cubic spline fitting with convexity constraints. Computing, 1980, 24: 349-371  
    Jonas JJ, Quelennec X, Jiang L, et al. The Avrami kinetics of dynamic recrystallization. Acta Materialia, 2009, 57: 2748-2756  
    Yanagida A, Liu JSh, Yanagimoto J. Flow curve determination for metal under dynamic recrystallization using inverse analysis. Materials Transactions, 2003, 44(11): 2303-2310  
    Bum B, Reichert P, Kuhni M. Practical identifiability analysis of large environmental simulation models. Water Resources Research, 2001, 37 (4): 1015-1030  
    Bum B, KÜhni M, Siegrist H, et al. Practical identifiability of ASM2d parameters-systematic selection and tuning of parameter sunsets. Water Research, 2002, 36: 4113-4127  
    Ryan ND, McQueen HJ. Comparison of dynamic softening in 301, 304, 316 and 317 stainless steels. High Temperature Technology, 1990, 8(3): 185-200
    Roberts W, Ahlblom B. A nucleation criterion for dynamic recrystallization during hot working. Acta Metallurgica, 1979, 26: 801-813
    Sandström R, Lagneborg R. A model for hot working occurring by recrystallization. Acta Metallurgica,1975, 23: 387-398  
    OriginLab Corporation. Origin 8 User Guide. 2007.
  • 加载中
计量
  • 文章访问数:  1086
  • HTML全文浏览量:  87
  • PDF下载量:  752
  • 被引次数: 0
出版历程
  • 收稿日期:  2014-02-25
  • 修回日期:  2014-05-13
  • 刊出日期:  2014-11-18

目录

    /

    返回文章
    返回