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Non-isothermal Modeling of Static Recrystallization in Hydroformed Steel Tube Using a Coupled Cellular Automata and Finite Element Model

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Forming the Future

Part of the book series: The Minerals, Metals & Materials Series ((MMMS))

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Abstract

A thermo-microstructural modeling setup was developed to model the progress of static recrystallization (SRX) during annealing of hydroformed steel tube under non-isothermal annealing condition. In this model, a coupled Cellular Automata and Finite Element thermal model was implemented to predict the kinetics of SRX, which accounts for the impact of multiaxial deformation and annealing temperature regime. First, an analytical solution was developed to calculate the flow behavior of the steel tube during hydroforming experiment based on the data extracted from digital image correlation (DIC) measurements. Second, the actual microstructure and texture of the as-deformed material was obtained with EBSD test. Third, the calculated deformation characteristics as well as the obtained crystallographic and microstructural data were imported to the developed Finite Element-Cellular Automata model to predict the progress of SRX and temperature changes during annealing. The results show a reasonable agreement between the experimental data and predictions, confirming the accuracy of the developed modeling setup in the prediction of the kinetics of SRX within hydroformed steel tubes.

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References

  1. Shen G, Hu B, Zheng C, Gu J, Li D (2018) Coupled simulation of ferrite recrystallization in a dual-phase steel considering deformation heterogeneity at mesoscale. Comput Mater Sci 149:191–201

    Google Scholar 

  2. Wu C, Jia B, Han S (2019) Coupling a cellular automaton model with a finite element model for simulating deformation and recrystallization of a low-carbon micro-alloyed steel during hot compression. J Mater Eng Perform 28:938–955

    Article  CAS  Google Scholar 

  3. Kalu PN, Waryoba DR (2007) A JMAK-microhardness model for quantifying the kinetics of restoration mechanisms in inhomogeneous microstructure. Mater Sci Eng A 464:68–75

    Article  Google Scholar 

  4. Zhang J, Zheng CW, Li DZ (2018) A multi-phase field model for static recrystallization of hot deformed austenite in a C–Mn steel. Acta Metall Sin 31:208–215

    Article  CAS  Google Scholar 

  5. Vafaeenezhad H, Seyedein SH, Aboutalebi MR, Eivani AR (2019) Hybrid Monte Carlo—finite element simulation of microstructural evolution during annealing of severely deformed Sn-5Sb alloy. Comput Mater Sci 163:196–208

    Article  CAS  Google Scholar 

  6. Shabaniverki S, Serajzadeh S (2016) Simulation of softening kinetics and microstructural events in aluminum alloy subjected to single and multi-pass rolling operations. Appl Math Model 40:7571–7582

    Article  Google Scholar 

  7. Asgharzadeh A, Aval HJ, Serajzadeh S (2016) A study on flow behavior of AA5086 over a wide range of temperatures. J Mater Eng Perform 25:1076–1084

    Article  CAS  Google Scholar 

  8. Sieradzki L, Madej L (2013) A perceptive comparison of the cellular automata and Monte Carlo techniques in application to static recrystallization modeling in polycrystalline materials. Comput Mater Sci 67:156–173

    Article  Google Scholar 

  9. Hesselbarth HW, Göbel IR (1991) Simulation of recrystallization by cellular automata. Acta Metall Mater 39:2135–2143

    Article  CAS  Google Scholar 

  10. Lin YC, Liu YX, Chen MS, Huang MH, Ma X, Long ZL (2016) Study of static recrystallization behavior in hot deformed Ni-based superalloy using cellular automaton model. Mater Des 99:107–114

    Article  CAS  Google Scholar 

  11. Huang C, Jia X, Zhang Z (2018) Modeling and simulation of the static recrystallization of 5754 aluminium alloy by cellular automaton. Metals 8:585–591

    Article  Google Scholar 

  12. Salehi MS, Serajzadeh S (2013) Simulation of static softening behavior of an aluminum alloy after cold strip rolling. Comput Mater Sci 69:53–61

    Article  CAS  Google Scholar 

  13. Salehi MS, Serajzadeh S (2012) Simulation of static recrystallization in non-isothermal annealing using a coupled cellular automata and finite element model. Comput Mater Sci 53:145–152

    Article  Google Scholar 

  14. Mortazavi SNS, Serajzadeh S (2019) Simulation of non-isothermal recrystallization kinetics in cold-rolled steel. Multiscale Multidiscip Model Exp Des 2:23–33

    Article  Google Scholar 

  15. Schäfer C, Mohles V, Gottstein G (2011) Modeling of non-isothermal annealing: interaction of recrystallization, recovery, and precipitation. Acta Mater 59:6574–6587

    Article  Google Scholar 

  16. Asgharzadeh A, Nazari Tiji SA, Esmaeilpour R, Park T, Pourboghrat F (2020) Determination of hardness-strength and -flow behavior relationships in bulged aluminum alloys and verification by FE analysis on Rockwell hardness test. Int J Adv Manuf Technol 106:315–331

    Google Scholar 

  17. Nazari Tiji SA, Park T, Asgharzadeh A, Kim H, Athale M, Kim JH, Pourboghrat F (2020) Characterization of yield stress surface and strain-rate potential for tubular materials using multiaxial tube expansion test method. Int J Plast 133:

    Article  CAS  Google Scholar 

  18. Asgharzadeh A, Nazari Tiji SA, Park T, Kim JH, Pourboghrat F (2020) Cellular automata modeling of the kinetics of static recrystallization during the post-hydroforming annealing of steel tube. J Mater Sci 55:7938–7957

    Article  CAS  Google Scholar 

  19. Verdier M, Brechet Y, Guyot P (1998) Recovery of AlMg alloys: flow stress and strain-hardening properties. Acta Mater 47:127–134

    Article  Google Scholar 

  20. Humphreys FJ, Hatherly M (2012) Recrystallization and related annealing phenomena. Elsevier

    Google Scholar 

  21. Nm SVS, Torizuka S, Nagai K (2005) Ferrite grain size formed by large strain-high Z deformation in a 0.15 C steel. Mater Trans 46:2454–2460

    Article  Google Scholar 

  22. Janssens KG, Raabe D, Kozeschnik E, Miodownik MA, Nestler B (2010) Computational materials engineering: an introduction to microstructure evolutions. Academic Press

    Google Scholar 

  23. Kim DK, Woo W, Park WW, Im YT, Rollett A (2017) Mesoscopic coupled modeling of texture formation during recrystallization considering stored energy decomposition. Comput Mater Sci 129:55–65

    Article  CAS  Google Scholar 

  24. Matsumoto M, Nishimura T (1998) Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator. ACM Trans Model Comput Simul 8:3–30

    Article  Google Scholar 

  25. Asgharzadeh A, Serajzadeh S (2016) Development of a stream function-upper bound analysis applicable to the process of plate rolling. Multidiscip Model Mater Struct 12:254–274

    Article  CAS  Google Scholar 

  26. Stasa FL (1985) Applied finite element method. CBS Publishing Ltd., Japan

    Google Scholar 

  27. Afsharhasani R, Karakouzian M, Farhangi V (2020) Effect of competent caliche layers on measuring the capacity of axially loaded drilled shafts using the Osterberg test. Appl Sci 10:6169

    Article  CAS  Google Scholar 

  28. Farhangi V, Karakouzian M (2020) Effect of fiber reinforced polymer tubes filled with recycled materials and concrete on structural capacity of pile foundations. Appl Sci 10:1554

    Article  CAS  Google Scholar 

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Acknowledgments

The authors wish to thank the U.S. Department of Energy for the support of this project through the DOE award DE-FG02-13ER41974 and DOE DE-EE000597, with United States Automotive Materials Partnership LLC (USAMP).

Author information

Authors and Affiliations

  1. Department of Integrated Systems Engineering, The Ohio State University, 210 Baker Systems, 1971 Neil Avenue, Columbus, OH, 43210, USA

    Amir Asgharzadeh, Sobhan Alah Nazari Tiji, Taejoon Park & Farhang Pourboghrat

  2. Department of Mechanical and Aerospace Engineering, The Ohio State University, 201 W 19th Ave, Columbus, OH, 43210, USA

    Farhang Pourboghrat

Authors
  1. Amir Asgharzadeh
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  2. Sobhan Alah Nazari Tiji
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  3. Taejoon Park
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  4. Farhang Pourboghrat
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Corresponding author

Correspondence to Farhang Pourboghrat .

Editor information

Editors and Affiliations

  1. The Ohio State University, Columbus, OH, USA

    Glenn Daehn

  2. Northwestern Univ, Evanston, IL, USA

    Jian Cao

  3. University of New Hampshire, Durham, NH, USA

    Brad Kinsey

  4. Technical University of Dortmund, Dortmund, Germany

    Erman Tekkaya

  5. The Ohio State University, Columbus, OH, USA

    Anupam Vivek

  6. Gifu University, Gifu, Japan

    Yoshinori Yoshida

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Asgharzadeh, A., Nazari Tiji, S.A., Park, T., Pourboghrat, F. (2021). Non-isothermal Modeling of Static Recrystallization in Hydroformed Steel Tube Using a Coupled Cellular Automata and Finite Element Model. In: Daehn, G., Cao, J., Kinsey, B., Tekkaya, E., Vivek, A., Yoshida, Y. (eds) Forming the Future. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-030-75381-8_157

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