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Application of the Digital Material Representation to strain localization prediction in the two phase titanium alloys for aerospace applications

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the present work Digital Material Representation (DMR) approach was utilized to simulate the deformation behavior of the two phase Ti-6Al-4V alloy. DMR models of the two phase structure, containing different morphologies of alpha grains within a beta matrix – lamellar and equiaxed, were created. Each phase was then separated and different mechanical properties were assigned. Subsequently, their response to loading was tested using simple shear numerical simulations with special focus on strain inhomogeneities, as the main driving force for spheroidization is considered to be the formation of intense shearing within alpha lamellae. The proposed modeling approach combining Finite Element Method (FEM) with DMR allowed for much more detailed numerical analysis of deformation behavior of two phase titanium alloys at the micro scale and provided information such as strain localization and stress distributions within the alpha and beta phases. It was showed that presented model offers a new and powerful tool to study the physical bases of microstructure evolution processes such as spheroidization or recrystallization of Ti alloys. It shows good potential in simulation of deformation processes of complex two-phase morphologies that is a crucial step towards optimization of process parameters during hot forming of Ti-6Al-4V alloys.
Rocznik
Strony
224--234
Opis fizyczny
Bibliogr. 24 poz., rys., wykr.
Twórcy
autor
  • Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, Mickiewicza 30, 30-059 Krakow, Poland
  • Department of Materials Science and Engineering, The University of Sheffield, Sir Robert Hadfield Building, Mappin St, Sheffield S1 3JD, UK
autor
  • Department of Materials Science and Engineering, The University of Sheffield, Sir Robert Hadfield Building, Mappin St, Sheffield S1 3JD, UK
autor
  • Department of Materials Science and Engineering, The University of Sheffield, Sir Robert Hadfield Building, Mappin St, Sheffield S1 3JD, UK
Bibliografia
  • [1] S.P. Fox, D.F. Neal, The role of computer modelling in the development of large scale primary forgings of titanium alloys, in: P.A. Blenkinsop, W.J. Evans, H.M. Flower (Eds.), Proc. 8th World Conference on Titanium, Titanium'95, Institute of Materials, London, 1995 628–635.
  • [2] S.L. Semiatin, V. Seetharaman, I. Weiss, Flow behavior and globularization kinetics during hot working of Ti-6Al-4V with a colony alpha microstructure, Materials Science and Engineering A 263 (1999) 257–271.
  • [3] K. Muszka, M. Lopez-Pedrosa, K. Raszka, M. Thomas, W.M. Rainforth, B.P. Wynne, The impact of strain reversal on microstructure evolution and orientation relationships in Ti- 6Al-4V with an initial alpha colony microstructure, Metallurgical and Materials Transactions A 45 (2014) 5997–6007.
  • [4] L. Sun, K. Muszka, B.P. Wynne, E.J. Palmiere, Effect of strain path on dynamic strain induced transformation in a microalloyed steel, Acta Materialia 66 (2014) 132–149.
  • [5] L. Madej, J. Wang, K. Perzynski, P.D. Hodgson, Numerical modeling of dual phase microstructure behavior under deformation conditions on the basis of digital material representation, Computational Materials Science 95 (2014) 651–662.
  • [6] M. Bernacki, Y. Chastel, H. Digonnet, H. Resk, T. Coupez, R.E. Logé, Development of numerical tools for the multiscale modelling of recrystallisation in metals, based on a digital material framework, Computer Methods in Material Science 7 (2007) 142–149.
  • [7] B. Zhang, L.M. Lei, X.L. Jiang, Z.M. Song, X. Huang, G.P. Zhang, On temperature and strain rate dependent strain localization behavior in Ti-6.5Al-3.5Mo-1.5Zr-0.3Si alloy, Journal of Material Science and Technology 29 (2013) 273–278.
  • [8] K. Mutombo, C. Siyasiya, W.E. Stumpf, Dynamic globularization of a-phase in Ti6Al4V alloy during hot compression, Materials Science Forum 783 (2014) 584–590.
  • [9] A.F. Wilson, V. Venkatesh, R. Pather, J.W. Brooks, S.P. Fox, The prediction of microstructure development during timetal 6-4 billet manufacture, in: G. Luetjering, J. Albrecht (Eds.), Titanium 2003 Science and Technology, Wiley-VCH, Weinheim, 2004 321–328.
  • [10] O.N. Senkov, D.B. Miracle, S.A. Firstov, Metalic materials with high structural efficiency, NATO Science Series – Mathematics, Physics and Chemistry (2003) 146.
  • [11] L. Madej, L. Rauch, K. Perzynski, P. Cybulka, Digital material representation as an efficient tool for strain inhomogeneities analysis at the micro scale level, Archives of Civil and Mechanical Engineering 11 (2011) 661–679.
  • [12] W. Wajda, L. Madej, H. Paul, Application of crystal plasticity model for simulation of polycrystalline aluminum sample behavior during plain strain compression test, Archives of Metallurgy and Materials 58 (2013) 493–496.
  • [13] L. Delannay, I. Doghri, O. Pierard, Prediction of tension-compression cycles in multiphase steel using a modified incremental mean-field model, International Journal of Solid and Structures 44 (2007) 7291–7306.
  • [14] A. Khorashadizadeh, D. Raabe, S. Zaefferer, G.S. Rohrer, A.D. Rollett, M. Winning, Five-parameter grain boundary analysis by 3D EBSD of an ultra fine grained CuZr alloy processed by equal channel angular pressing, Advanced Engineering Materials 13 (2011) 237–244.
  • [15] Y. Jin, N. Bozzolo, A.D. Rollett, M. Bernacki, A.D. Rollet, 2D finite element modeling of misorientation dependent anisotropic grain growth in polycrystalline materials: level set versus multi-phase-field method, Computational Materials Science 104 (2015) 108–123.
  • [16] D. Saylor, J. Frid, B.S. El-Dasher, A. Barhme, S.B. Lee, C. Cornwell, R. Noack, Modelling polycrystalline microstructures in 3D, in: S. Ghosh, J.C. Castro, J.K. Lee (Eds.), Proc. Numiform 2004, Columbus, OH, (2005) 71–77.
  • [17] J. Szyndler, L. Madej, Numerical analysis of the influence of number of grains, FE mesh density and friction coefficient on representativeness aspects of the polycrystalline digital material representation – plane strain deformation case study, Computational Materials Science 96 (2015) 200–213.
  • [18] K. Muszka, L. Madej, J. Majta, The effects of deformation and microstructure inhomogeneities in the Accumulative Angular Drawing (AAD), Materials Science and Engineering A 574 (2013) 68–74.
  • [19] L. Madej, L. Sieradzki, M. Sitko, K. Perzynski, K. Radwański, R. Kuziak, Multi scale cellular automata and finite element based model for cold deformation and annealing of a ferritic– pearlitic microstructure, Computational Materials Science 77 (2013) 172–181.
  • [20] D.R. Barraclough, H.J. Whittaker, K.D. Nair, C.M. Sellars, Effect of specimen geometry on hot torsion test results for solid and tubular specimens, Journal of Testing and Evaluation 1 (1973) 220–226.
  • [21] F. Kruzel, L. Madej, K. Perzynski, K. Banas, Development of three-dimensional adaptive mesh generation for multiscale applications, International Journal of Multiscale Computational Engineering 12 (2014) 257–269.
  • [22] J. Szyndler, L. Madej, Effect of number of grains and boundary conditions on digital material representatioin deformation under plain strain, Archives of Civil and Mechanical Engineering 14 (2014) 360–369.
  • [23] A.F. Gerday, M. Ben Bettaieb, L. Duchene, N. Clement, H. Diarra, A.M. Habraken, Interests and limitations of nanoindentation for bulk multiphase material identification: application to the b phase of Ti-5553, Acta Materialia 57 (2009) 5186–5195.
  • [24] A.F. Gerady, Mechanical Behavior of Ti-5553 Alloy Modeling of Representative Cells, PhD Thesis, University of Liege, Belgium, 2009.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-81ddffc2-107f-4556-8246-fdb98c338d33
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