Grain Orientation Dependence of the Residual Lattice Strain in a Cold Rolled Interstitial-Free Steel

Xie, Qingge; Gorti, Sarma B.; Sidor, Jurij; An, Yuguo; Wang, Yandong; Lian, Junhe; Lan, Haoyu; An, Ke

doi:10.1002/srin.201700408

Title: Grain Orientation Dependence of the Residual Lattice Strain in a Cold Rolled Interstitial-Free Steel

Journal Article · Wed Jan 10 00:00:00 EST 2018 · Steel Research International

DOI:https://doi.org/10.1002/srin.201700408· OSTI ID:1430621

^[1];

^[2]; Sidor, Jurij ^[3]; An, Yuguo ^[4]; Wang, Yandong ^[5]; Lian, Junhe ^[6]; Lan, Haoyu ^[7];

^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Chemical and Engineering Materials Division
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Computational Sciences and Engineering Division
Eotvos Lorand Univ., Budapest (Hungary). Savaria Inst. of Technology
Tata Steel, IJmuiden Technology Centre, IJmuiden (The Netherlands)
Univ of Science and Technology, Beijing (China). State Key Lab. for Advanced Metals and Materials (SKLAMM)
RWTH Aachen Univ. (Germany). Steel Inst.
Jiangsu Univ. of Science and Technology, Jiangsu (China). School of Electronics and Information

The experimentally measured grain-orientation-dependent residual lattice strains, evolved in an interstitia-free steel after 70% cold rolling reduction, are studied by means of crystal elastic visco-plastic finite element simulations, which provides a very satisfactory prediction of deformation texture. The calculated residual lattice strain pole figure matches well with the experimentally measured counterpart within the highest density regions of major texture components observed. Both experimental evidence and results of modeling clearly indicate that the residual lattice strain is orientation dependent, based on comprehensive information on the evolution of residual lattice strain in various crystallographic orientations during plastic deformation. It appears that in a cold rolled material, there is a general correlation between the stresses developed just prior to unloading and the residual lattice strains in particular directions. Here, it is also shown that the cumulative plastic shear does not reveal a clear correlation with the components of residual lattice strain while presented in the normal correlation plot, however, this relationship can be better understood by means of the orientation distribution function of residual lattice strain, which can be derived from the neutron or X-ray diffraction experiments.

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Research Organization:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program; National Natural Science Foundation of China (NSFC)

Grant/Contract Number:: AC05-00OR22725; 51471032; 51231002; 06111020; 51571025

OSTI ID:: 1430621

Journal Information:: Steel Research International, Vol. 89, Issue 3; ISSN 1611-3683

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 9 works

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Cited By (4)

Crystal plasticity modelling of flow behavior under various strain rates Lian, Junhe; Liu, Wenqi; Zhang, Wenwen PROCEEDINGS OF THE 22ND INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING: ESAFORM 2019, AIP Conference Proceedings https://doi.org/10.1063/1.5112753	conference	January 2019
The lattice strain ratio in characterizing the grain-to-grain interaction effect and its specific insight on the plastic deformation of polycrystalline materials Xie, Qingge; Lian, Junhe; Sun, Fengwei The Journal of Strain Analysis for Engineering Design, Vol. 53, Issue 5 https://doi.org/10.1177/0309324718770935	journal	April 2018
Numerical Study of the Effect of Inclusions on the Residual Stress Distribution in High-Strength Martensitic Steels During Cooling Gu, Chao; Lian, Junhe; Bao, Yanping Applied Sciences, Vol. 9, Issue 3 https://doi.org/10.3390/app9030455	journal	January 2019
Numerical Study of the Effect of Inclusions on the Residual Stress Distribution in High-Strength Martensitic Steels During Cooling Gu, Chao; Lian, Junhe; Bao, Yanping RWTH Aachen University https://doi.org/10.18154/rwth-2019-02714	text	January 2019

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