A continuum model accounting for the effect of the initial and evolving microstructure on the evolution of dynamic recrystallization

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Abstract

Laser assisted forming is a process which is increasingly being adopted by the industry. Application of heat by a laser to austenitic stainless steel (ASS) sheet provides local control over formability and strength of the material. The hot forming behavior of ASS is characterized by significant dynamic recovery and dynamic recrystallization. These two processes lead to a softening stress-strain response and have a significant impact on the microstructure of the material. Most of the research performed on hot forming of ASS focuses on dynamic recrystallization and then specifically on the behavior of the annealed state, consisting of relatively large equiaxed austenite grains. However, in industry it is common to use cold rolled ASS sheet which is a mixture of austenite and martensite. Application of a laser heat treatment to the cold rolled grades of ASS induces a so-called ‘reverse’ transformation of martensite to austenite which, depending on the exact time-temperature combinations, leads to an austenite grain size in the range of nano-to micrometer. It is known from experiments that the effect of initial grain size on dynamic recrystallization is significant, especially on the initial stages of recrystallization. Therefore any continuum model capable of describing hot forming of cold rolled ASS should include the effect of the initial grain size. In this work a physically based continuum model for dynamic recrystallization is presented which accounts for the effect of the initial and evolving grain size on the evolution of dynamic recrystallization. It is shown that the initial grain size can be accounted for by incorporating its effect on the availability of preferred nucleation sites, i.e. grain edges. The new model is compared to experimental results and it is shown that the model correctly predicts accelerated recrystallization with decrease in grain size and that there is a weak dependence of the dynamically recrystallized grain size on the initial grain size. Furthermore predicted recrystallized grain sizes are in good agreement with the experimentally measured values.

Original languageEnglish
Title of host publicationXIV International Conference on Computational Plasticity, Fundamentals and Applications, COMPLAS 2017
EditorsE. Onate, D.R.J. Owen, D. Peric, M. Chiumenti
PublisherInternational Center for Numerical Methods in Engineering
Pages308-318
Number of pages11
Volume2017-January
ISBN (Electronic)9788494690969
Publication statusPublished - 2017
EventXIV International Conference on Computational Plasticity - Fundamentals and Applications 2017: Fundamentals and Applications - Barcelona, Spain
Duration: 5 Sep 20177 Sep 2017
Conference number: 14
http://congress.cimne.com/complas2017/frontal/Series.asp

Conference

ConferenceXIV International Conference on Computational Plasticity - Fundamentals and Applications 2017
Abbreviated titleCOMPLAS 2017
CountrySpain
CityBarcelona
Period5/09/177/09/17
Internet address

Fingerprint

Dynamic Recrystallization
Dynamic recrystallization
Continuum Model
Grain Size
Austenitic stainless steel
Austenitic Stainless Steel
Microstructure
Austenite
Steel sheet
Martensite
Lasers
Recrystallization
Laser
Formability
Industry
Weak Dependence
Nucleation
Heat Treatment
Heat treatment
Softening

Keywords

  • Constitutive modeling
  • Dynamic recrystallization
  • Grain size
  • Microstructure

Cite this

Kooiker, H., Perdahcioglu, E. S., & Van Den Boogaard, T. (2017). A continuum model accounting for the effect of the initial and evolving microstructure on the evolution of dynamic recrystallization. In E. Onate, D. R. J. Owen, D. Peric, & M. Chiumenti (Eds.), XIV International Conference on Computational Plasticity, Fundamentals and Applications, COMPLAS 2017 (Vol. 2017-January, pp. 308-318). International Center for Numerical Methods in Engineering.
Kooiker, Harmen ; Perdahcioglu, Emin S. ; Van Den Boogaard, Ton. / A continuum model accounting for the effect of the initial and evolving microstructure on the evolution of dynamic recrystallization. XIV International Conference on Computational Plasticity, Fundamentals and Applications, COMPLAS 2017. editor / E. Onate ; D.R.J. Owen ; D. Peric ; M. Chiumenti. Vol. 2017-January International Center for Numerical Methods in Engineering, 2017. pp. 308-318
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abstract = "Laser assisted forming is a process which is increasingly being adopted by the industry. Application of heat by a laser to austenitic stainless steel (ASS) sheet provides local control over formability and strength of the material. The hot forming behavior of ASS is characterized by significant dynamic recovery and dynamic recrystallization. These two processes lead to a softening stress-strain response and have a significant impact on the microstructure of the material. Most of the research performed on hot forming of ASS focuses on dynamic recrystallization and then specifically on the behavior of the annealed state, consisting of relatively large equiaxed austenite grains. However, in industry it is common to use cold rolled ASS sheet which is a mixture of austenite and martensite. Application of a laser heat treatment to the cold rolled grades of ASS induces a so-called ‘reverse’ transformation of martensite to austenite which, depending on the exact time-temperature combinations, leads to an austenite grain size in the range of nano-to micrometer. It is known from experiments that the effect of initial grain size on dynamic recrystallization is significant, especially on the initial stages of recrystallization. Therefore any continuum model capable of describing hot forming of cold rolled ASS should include the effect of the initial grain size. In this work a physically based continuum model for dynamic recrystallization is presented which accounts for the effect of the initial and evolving grain size on the evolution of dynamic recrystallization. It is shown that the initial grain size can be accounted for by incorporating its effect on the availability of preferred nucleation sites, i.e. grain edges. The new model is compared to experimental results and it is shown that the model correctly predicts accelerated recrystallization with decrease in grain size and that there is a weak dependence of the dynamically recrystallized grain size on the initial grain size. Furthermore predicted recrystallized grain sizes are in good agreement with the experimentally measured values.",
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language = "English",
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editor = "E. Onate and D.R.J. Owen and D. Peric and M. Chiumenti",
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Kooiker, H, Perdahcioglu, ES & Van Den Boogaard, T 2017, A continuum model accounting for the effect of the initial and evolving microstructure on the evolution of dynamic recrystallization. in E Onate, DRJ Owen, D Peric & M Chiumenti (eds), XIV International Conference on Computational Plasticity, Fundamentals and Applications, COMPLAS 2017. vol. 2017-January, International Center for Numerical Methods in Engineering, pp. 308-318, XIV International Conference on Computational Plasticity - Fundamentals and Applications 2017, Barcelona, Spain, 5/09/17.

A continuum model accounting for the effect of the initial and evolving microstructure on the evolution of dynamic recrystallization. / Kooiker, Harmen ; Perdahcioglu, Emin S.; Van Den Boogaard, Ton.

XIV International Conference on Computational Plasticity, Fundamentals and Applications, COMPLAS 2017. ed. / E. Onate; D.R.J. Owen; D. Peric; M. Chiumenti. Vol. 2017-January International Center for Numerical Methods in Engineering, 2017. p. 308-318.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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N2 - Laser assisted forming is a process which is increasingly being adopted by the industry. Application of heat by a laser to austenitic stainless steel (ASS) sheet provides local control over formability and strength of the material. The hot forming behavior of ASS is characterized by significant dynamic recovery and dynamic recrystallization. These two processes lead to a softening stress-strain response and have a significant impact on the microstructure of the material. Most of the research performed on hot forming of ASS focuses on dynamic recrystallization and then specifically on the behavior of the annealed state, consisting of relatively large equiaxed austenite grains. However, in industry it is common to use cold rolled ASS sheet which is a mixture of austenite and martensite. Application of a laser heat treatment to the cold rolled grades of ASS induces a so-called ‘reverse’ transformation of martensite to austenite which, depending on the exact time-temperature combinations, leads to an austenite grain size in the range of nano-to micrometer. It is known from experiments that the effect of initial grain size on dynamic recrystallization is significant, especially on the initial stages of recrystallization. Therefore any continuum model capable of describing hot forming of cold rolled ASS should include the effect of the initial grain size. In this work a physically based continuum model for dynamic recrystallization is presented which accounts for the effect of the initial and evolving grain size on the evolution of dynamic recrystallization. It is shown that the initial grain size can be accounted for by incorporating its effect on the availability of preferred nucleation sites, i.e. grain edges. The new model is compared to experimental results and it is shown that the model correctly predicts accelerated recrystallization with decrease in grain size and that there is a weak dependence of the dynamically recrystallized grain size on the initial grain size. Furthermore predicted recrystallized grain sizes are in good agreement with the experimentally measured values.

AB - Laser assisted forming is a process which is increasingly being adopted by the industry. Application of heat by a laser to austenitic stainless steel (ASS) sheet provides local control over formability and strength of the material. The hot forming behavior of ASS is characterized by significant dynamic recovery and dynamic recrystallization. These two processes lead to a softening stress-strain response and have a significant impact on the microstructure of the material. Most of the research performed on hot forming of ASS focuses on dynamic recrystallization and then specifically on the behavior of the annealed state, consisting of relatively large equiaxed austenite grains. However, in industry it is common to use cold rolled ASS sheet which is a mixture of austenite and martensite. Application of a laser heat treatment to the cold rolled grades of ASS induces a so-called ‘reverse’ transformation of martensite to austenite which, depending on the exact time-temperature combinations, leads to an austenite grain size in the range of nano-to micrometer. It is known from experiments that the effect of initial grain size on dynamic recrystallization is significant, especially on the initial stages of recrystallization. Therefore any continuum model capable of describing hot forming of cold rolled ASS should include the effect of the initial grain size. In this work a physically based continuum model for dynamic recrystallization is presented which accounts for the effect of the initial and evolving grain size on the evolution of dynamic recrystallization. It is shown that the initial grain size can be accounted for by incorporating its effect on the availability of preferred nucleation sites, i.e. grain edges. The new model is compared to experimental results and it is shown that the model correctly predicts accelerated recrystallization with decrease in grain size and that there is a weak dependence of the dynamically recrystallized grain size on the initial grain size. Furthermore predicted recrystallized grain sizes are in good agreement with the experimentally measured values.

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Kooiker H, Perdahcioglu ES, Van Den Boogaard T. A continuum model accounting for the effect of the initial and evolving microstructure on the evolution of dynamic recrystallization. In Onate E, Owen DRJ, Peric D, Chiumenti M, editors, XIV International Conference on Computational Plasticity, Fundamentals and Applications, COMPLAS 2017. Vol. 2017-January. International Center for Numerical Methods in Engineering. 2017. p. 308-318