Improvement of Mechanical Properties of Multiple Surface Rolled Pure Copper

Abstract:

High strength can be achieved by severe plastic deformation but at the cost of ductility. A novel strategy, which named multiple surface rolling was applied on a homogeneous annealed pure copper to break the strength and ductility trade-off. A combination of high strength and acceptable ductility was achieved in copper strips after submitted to multiple surface rolling. The detail microstructure evolution rolled samples were characterized by EBSD observation and compared with the initially annealed ones. The average grain size does not show significant deviation in both initially annealed and multiple surfaces rolled copper. Detailed observations show a heterogeneous distribution of low angle grain boundaries through thickness direction. The low angle grain boundaries and misorientations revealed the potential strengthening mechanisms in the material. Both microstructural characterization and numerical simulations indicate that multiple surface rolling contributes to strain hardening at the sample surface, while the interior layer was undergoing elastic deformation or partial plastic deformation. This heterogeneous deformation renders copper sheet with a combination of high strength and ductility.

• Periodical: Solid State Phenomena (Volume 311)
• Pages: 33-40
• DOI: https://doi.org/10.4028/www.scientific.net/SSP.311.33
• Online since: October 2020
• Authors: Rui Wang, Dong Zhi Luo, Cheng Lu*
• Keywords: Crystal Plasticity, Ductility, Surface Rolling, Yield Strength

References

[1] Pure copper with improved yield strength and high ductility was obtained by using multiple surface rolling processing.

[2] Experimental characterisation of grain boundaries and misorientations indicates an inhomogeneous deformation occurs in the MSR copper.

[3] Distributions of stress and strain demonstrate that localised deformation zone occurs at the surface region, which contribute to the improvement of overall properties. Acknowledgements The authors acknowledge the financial support from the Australian Research Council (DP170103092). The authors are grateful to National Computational Infrastructure (NCI) platform for numerical simulations. References.