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TC4合金切削有限元模拟动态本构模型的建立 被引量：10

Establishing dynamic constitutive model of finite element simulation for TC4 alloy cutting
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摘要 用多元函数的下山单纯形法对切削实验所得Johnson-Cook模型中的5个参数进行优化,并应用大型商用有限元软件Marc,建立高速切削有限元模型,通过有限元迭代分析,得到较高精度的高速切削Johnson-Cook本构方程,经验证,该本构方程可以大大提高模拟计算的精度。 The down hill optimization methods was used to optimize the five parameters in the Johnson-Cook model obtained from cutting experiments. And the finite element model of high speed cutting was established by using large commercial finite element software Marc. Then higher precision constitutive equation for high speed cutting was obtained by using the iterative finite element analysis. After being verified by cutting experiments and finite element simulation, the constitutive equation can greatly enhance the accuracy of simulation.
作者 叶玉刚 尹燕
机构地区 中北大学机械工程及自动化学院 宁波鄞州区职业教育中心
出处 《兵器材料科学与工程》 CAS CSCD 2009年第6期35-39,共5页 Ordnance Material Science and Engineering
关键词 TC4钛合金 动态本构模型 切削 有限元模拟 TC4 titanium alloy dynamic constitutive model cutting finite element simulation
分类号 TG506.1 [金属学及工艺—金属切削加工及机床]
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参考文献14

  • 1Domenico Umbrello. Finite element simulation of conventional and high speed machining of Ti-6Al-dV alloy[J]. Journal of Materials Processing Technology, 2008,196 (1/2/3) : 79-87.
  • 2邓文君,夏伟,周照耀,李元元.有限元法在切削加工过程分析中的应用[J].工具技术,2004,38(11):20-27. 被引量：31
  • 3Kapoor R,Pal D, Chakravartty J K. Use of artificial neural networks to predict the deformation behavior of Zr-2.5Nb-0.5Cu [J]. Journal of Materials Processing Technology,2005,169 (2) : 199-205.
  • 4Songwon Seo,Oakkey Min,Hyunmo Yang,et al. Constitutive equation for Ti-6Al-4V at high temperatures measured using the SHPB technique[J]. International Journal of Impact Engineering, 2005,31(6 ) : 735-754.
  • 5Li Qiaug,Xu Y B,Bassim M N. Dynamic mechanical behavior of pure titanium [J ]. Journal of Materials Processing Technology, 2004,155/156(30) : 1889-1892.
  • 6Mousavi Anijdan S H,Madaah-Hosseini H R,Bahrami A. Flow stress optimization for 304 stainless steel under cold and warm compression by artificial neural network and genetic algorithm [J]. Materials & Design,2007,28(2) :609-615.
  • 7Bruni C, Forcellese A,Gabrielli F,et al. Modelling of the rheological behaviour of aluminum alloys in muhistep hot deformation using the multiple regression analysis and artificial neural network techniques[J]. Journal of Materials Processing Technology, 2006, 177 (1/2/3) : 323-326.
  • 8Tugrul Ozel,Taylan Ahan. Determination of workpiece flow stress and friction at the chip-tool contact for high-speed cutting [J ]. International Journal of Machine Tools & Manufacture, 2000(40) : 133-152.
  • 9Oxley P L B. Mechanics of machining, an analytical approach to assessing machinability[M]. New York..Halsted Press, 1989.
  • 10Lee W S,Lin C F. High-temperature deformation behavior of Ti6Al4V alloy evaluated by high strain-rate compression tests [J]. Journal of Materials Processing Technology, 1998 (75) : 127-136.

二级参考文献75

共引文献90

同被引文献66

  • 1程国强,李守新.金属材料在高应变率下的热粘塑性本构模型[J].弹道学报,2004,16(4):18-22. 被引量：23
  • 2杨勇,柯映林,董辉跃.金属切削加工中航空铝合金板材的本构模型[J].中国有色金属学报,2005,15(6):854-859. 被引量：21
  • 3Shi Jing, Liu C. Richard. The hffluence of Material Models on Finite Element Simulation of Machining[J]. Journal of Manufacturing Science and Engineering,2004,126(4) :849-858.
  • 4Johnson G. R, W.H. Cook. A Constitutive Model and Data for Metals Subjected to Large Strains, High Strain Rates and High Temperatures[C]. Proceedings of the 7th International Symposium on Ballistics, 1983:541-547.
  • 5A.G.. Mamalis, M. Horvath, A.S. Branis, et al. Finite Element Simulation of Chip Formation in On.hogonal Metal Cutting. Journal of Materials Processing Technology, 2001,110( 1 ) : 19-27.
  • 6Lin Z.C. , Lin S, Y. A Coupled Finite Element Model of Themlo-ElasticPlastic Large Deformatio-n for Orthogonal Cutting[J]. Journal of Engineering Materials and Technology, 1992,114(2) :218227.
  • 7Guo Y. B., Liu C.R. 3D FEA Modeling of Hard Turning[J]. Journal of Manufacturing Science and Engineering, 2002,124(2) : 189-200.
  • 8J. M. Huang, J. T. Black. An Evaluation of Chip Separation Criteria for the FEM Simulation of Machining[ J]. Journal of Manufacturing Science and Engineering, 1996,118(4) :545-555.
  • 9Tamara Novakov. Computational Analysis of Micmmachining Ti6Al4V Titanium Alloy[D]. Purdue University,2010:65-66.
  • 10Shrot A,B?ker M.How to identify johnson-cook parameters from machining simulations[C]//The 14th international esaform conference on material forming:esaform 2011.AIP Publishing,2011,1353(1):29-34.

引证文献10

二级引证文献37

兵器材料科学与工程
2009年 第6期

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