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Multiscale modeling of metallurgical and mechanical characteristics of tubular material undergoing tube hydroforming and subsequent annealing processes

Asgharzadeh, Amir
http://orcid.org/0000-0003-0101-5880
http://rave.ohiolink.edu/etdc/view?acc_num=osu1650284081261649

Abstract Details

2022, Doctor of Philosophy, Ohio State University, Industrial and Systems Engineering.
In the present study, a multiscale modeling approach is developed to investigate the metallurgical and mechanical characteristics of tubular material undergoing tube hydroforming and subsequent annealing processes. This study is performed in three steps. First, a modeling setup based on the Cellular Automata (CA) model is developed to predict the kinetic of static recrystallization (SRX) in hydroformed steel tubes undergoing the isothermal annealing process. To assess the accuracy of the CA model, experimental and predicted results are compared in terms of grain topology data including the grain size and aspect ratio distributions, as well as the rate of softening during annealing. Second, a hierarchically coupled CA model, crystal plasticity finite element method (CPFEM), and thermal finite element (FE) model is developed to predict the softening kinetics of the bulged steel tube during non-isothermal annealing. Through the developed model, the kinetics of softening mechanisms including static recovery (SRV) and SRX, as well as the recrystallization texture are predicted. The corresponding experimental data are utilized to calibrate and verify the implemented CPFEM model for simulation of tube hydroforming process, thermal FE model for prediction of the local temperature over annealing time, and CA algorithm for modeling of the softening kinetics and texture evolution throughout the annealing process. Third, a multiscale modeling approach based on CPFEM algorithm is proposed to predict the mechanical properties in the deformed and annealed specimens. To that end, CPFEM modeling of the deformation behavior in metals consisting of second phase particles is performed based on Representative Volume Element (RVE) models. The RVE model is generated based on the CA predictions for different anneal specimens. The calibrated CPFEM model is used for the simulation of deformation behavior at macro scale based on RVE models. To validate the developed multiscale approach, the tube hydroforming process as well as uniaxial tensile tests on various deformed and annealed samples at macro scale are simulated based on the calibrated CPFEM model, which are compared to the corresponding experimental data.
Farhang Pourboghrat (Advisor)
Michael Groeber (Committee Member)
Alan Luo (Committee Member)
146 p.
Engineering; Materials Science; Mechanical Engineering
Multiscale modeling, CPFEM, Microstructure, Cellular Automata, Precipitation, Mechanical properties, Softening kinetics, Texture

Recommended Citations

Citations

  • Asgharzadeh, A. (2022). Multiscale modeling of metallurgical and mechanical characteristics of tubular material undergoing tube hydroforming and subsequent annealing processes [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1650284081261649

    APA Style (7th edition)

  • Asgharzadeh, Amir. Multiscale modeling of metallurgical and mechanical characteristics of tubular material undergoing tube hydroforming and subsequent annealing processes. 2022. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1650284081261649.

    MLA Style (8th edition)

  • Asgharzadeh, Amir. "Multiscale modeling of metallurgical and mechanical characteristics of tubular material undergoing tube hydroforming and subsequent annealing processes." Doctoral dissertation, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1650284081261649

    Chicago Manual of Style (17th edition)

osu1650284081261649
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This open access ETD is published by The Ohio State University and OhioLINK.