The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Extraordinary strain hardening by gradient structure
Open accessAbstract
Significance: Nature creates the gradient structure (GS) for a purpose: to make biological systems strong and tough to survive severe natural forces. For the grain-size GS, the deformation physics is still unclear. One wonders if the grain-size GS in the nanomicroscale would also benefit materials engineered by mankind. In this paper, a universal strain hardening mechanism is revealed in the GS. We discovered a unique extra strain hardening that is intrinsic to the GS. Its mechanism is the presence of strain gradient together with the stress state change. A superior combination of strength and ductility that is not accessible to conventional homogeneous materials is obtained. As a novel mechanism, extra strain hardening renders high ductility in the GS materials.
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Cites
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Materials become insensitive to flaws at nanoscale: Lessons from nature
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Revealing Extraordinary Intrinsic Tensile Plasticity in Gradient Nano-Grained Copper
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Cited by
Zhu, Y., & Wu, X. (2023) · Progress in Materials Science · doi:10.1016/j.pmatsci.2022.101019 · Cited by 1,537
Self-citationPeng, Y., Li, C., Song, M., Xu, Z., Yang, C., Lu, Q., Liu, L., Chen, X., Liu, Y., & Yi, J. (2025) · International Journal of Plasticity · doi:10.1016/j.ijplas.2024.104216 · Cited by 68
Jaafreh, R., Sharan, A., Sajjad, M., Singh, N., & Hamad, K. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202210374 · Cited by 22
Metadata
- Authors
- Wu, X., Jiang, P., Chen, L., Yuan, F., & Zhu, Y. T.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-05-05
- Volume
- 111
- Issue
- 20
- Pages
- 7197-7201
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2040828793
- Cited by
- 1,315
- References
- 11
- FWCI
- 21.00
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wu, X., Jiang, P., Chen, L., Yuan, F., & Zhu, Y. T. (2014). Extraordinary strain hardening by gradient structure. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1324069111
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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