The optimum grain size for strength-ductility combination in metals

https://doi.org/10.1016/j.ijplas.2023.103574Get rights and content

Highlights

  • An optimum grain size (doptimum) on the order of a few micrometers exist ubiquitously for strength-ductility synergy, at which the strain energy density limit reaches a maximum while maintaining high yield strength.

  • Theoretical models on the grain size-dependence of uniform elongation and ultimate strength are developed, which accurately predict the doptimum.

  • The doptimum2lGbar, where lGbarkHPR3/22MGb is the characteristic width of grain boundary affected region.

  • The doptimum is the critical grain size having the strongest intragranular plastic strain gradient effect.

  • The doptimum is the limiting dimension that allows toughening by grain refinement.

Abstract

A strength-ductility trade-off usually occurs when grains are refined to increase strength. A question arises on if there exists a grain size for the best strength-ductility combination, i.e., with the highest possible strain energy density limit and strength simultaneously. This issue is crucial for guiding the design of strong and tough structural materials. Here we reveal an optimum grain size (doptimum) on the order of a few micrometers, at which the strain energy density limit, estimated as the product of strength and uniform elongation, reaches a maximum while maintaining reasonably high yield strength. The doptimum is found to exist in a series of single-phase FCC, BCC and HCP materials, indicating it as a universal phenomenon. Theoretical models on the grain size-dependence of uniform elongation and ultimate strength are developed by considering dislocation accumulation in grain boundary affected region (Gbar) and grain interior based on the classical Kocks-Mecking-Estrin model. Combined with the Hall-Petch relationship, the models accurately predict the doptimum. Importantly, the models disclose this doptimum to be close to twice of the characteristic width of Gbar (lGbar), suggesting that it is exactly at or near the critical grain size with the strongest intragranular strain gradient effects.

Introduction

Metallic materials are desired to be strong and ductile at the same time. Unfortunately, these two properties are usually mutually exclusive, especially when manipulating grain size (d) to improve one of them (Meyers et al., 2006). Good ductility originates from high work hardening capability, which helps to resist strain localization and consequently prevent catastrophic failure (Ritchie, 2011; Zhu and Wu, 2018). This is one of the key reasons why coarse-grained (CG) materials remain the primary choice for most structural applications. However, the low strength of CG material requires more materials to carry the load, which makes it less energy efficient in applications (Li and Lu, 2017). Grain refinement can effectively strengthen materials, but it usually sacrifices ductility. As extreme cases, ultrafine-grained (UFG) and nanostructured (NS) materials can be many times stronger than their CG counterparts, but their ductility is typically lower than 5% (Lu, 2014; Ovid'ko et al., 2018). This presents a major problem for the high-strength NS bulk to serve in safety-critical applications. Such grain size-related strength-ductility trade-off raises a few critical issues. Does an optimum grain size (doptimum) exist for strength-ductility combination? If so, how to determine and predict the doptimum theoretically? Furthermore, what is the mechanism behind it?

These issues are not only fundamental to understanding the grain size effects on mechanical behavior, but also important for guiding the microstructural design of high-performance materials, including the conventional engineering materials and advanced composites. For example, in the heterostructured materials, superior strength-ductility combination is expected if the grain size of the heterogeneous constituent zones can be tuned to the corresponding doptimum (Sathiyamoorthi and Kim, 2020; Zhu et al., 2021). Despite the relentless efforts in optimizing strength-ductility combination by largely manipulating the microstructures (Li and Lu, 2017; Wu et al., 2022, 2015; Zhong et al., 2022), the chemistry (Li et al., 2016; L. Y. Liu et al., 2022), or both at the same time (Fan et al., 2022; S. S. Liu et al., 2022), the present issues remain unsettled in theoretical understanding.

Achieving the best strength-ductility combination generally means that at the highest possible strength level, the strain energy density limit reaches or approaches the maximum. The difficulty in predicting the doptimum lies in the complexity of grain size effects on the strength and ductility that govern the strain energy density limit. Although the yield strength can be simply evaluated using the Hall-Petch equation (Hansen, 2004; Meyers and Chawla, 2009), the dependence of ductility and ultimate strength on grain size are not well understood (Li and Cui, 2007). Since ductility and ultimate strength are deformation history-dependent properties governed by work hardening and plastic instability (Yasnikov et al., 2022; Zhu and Wu, 2018), their dependence on grain size is primarily due to the interaction between dislocations and grain boundary. At the plastic stage, grain boundaries act as extra barriers to block dislocation motion and sites for dynamic recovery, resulting in distinct dislocation accumulations in the vicinity of grain boundary and in the grain interior (Delincé et al., 2007; Haouala et al., 2018; Hirth, 1972; Meyersm and Ashworth, 1982). Along with these behaviors, significant intragranular strain inhomogeneity is developed, which complicates the distribution of both short- and long-range internal stresses within grains (Ashby, 1970; Jiang et al., 2022). Grain refinement embraces more extensive grain boundary-dislocation interactions. As extreme cases, when the grain size is reduced to ultrafine or nanometer scale, the free slip path and storage room of dislocations are largely limited by the high-density grain boundaries, and the dynamic recovery is gradually dominated by grain boundaries (Meyers et al., 2006; Yu et al., 2005). The coupling of these factors complicates the interpretation of grain size effects on work hardening, making it a great challenge to derive explicit models on the grain size dependence of ductility and ultimate strength, and thus obscuring the reasoning path towards doptimum.

Nevertheless, some recent experimental results may provide a potential hint on the possible doptimum. Specifically, fine grains (FG) of a few micrometers were coincidentally involved in a variety of advanced structures with superior strength-ductility combination, including in homogeneous materials (Guo et al., 2022; Li et al., 2008; M.W. Liu et al., 2022; M.S. Wang et al., 2022), heterostructured materials (Huang et al., 2018; Wang et al., 2002; Wu et al., 2015), and conventional composites (Wu et al., 2017). For instance, in partially recrystallized Ti and Cu, both of which unite the UFG strength and the CG ductility, the FG zones with a grain size of about 2–4 μm were believed to play the key role in retaining work hardening (Wang et al., 2002; Wu et al., 2015). In the recently designed strong-yet-ductile manganese steel and complex-concentrated Ni-Fe alloys, FGs were the main constituent (Fan et al., 2022; Zhong et al., 2022). There appears to be some kinds of efficient strengthening and hardening mechanisms in this size range. Unfortunately, most of these structures were designed by trial and error, lacking clear physical guidelines on the grain size. In short, the confirmation of the existence and the exact value of doptimum as well as the possible deformation physics behind it remain elusive.

In this work, experimental results on the tensile properties of a series of single-phase materials with various crystal structures are collected over a wide grain size range, from extensive literature available to the authors. Systematic analyses on grain size effects verify that there indeed exists universally a doptimum at which the optimal strength-ductility combination is achieved. Theoretical models on grain size effects are established to predict the doptimum. Deformation physics potentially responsible for the superior properties at doptimum will be discussed. Note that the doptimum is currently discussed in terms of the quasi-static tension properties at ambient temperature, with dislocation-dominated plasticity, in order to deliver more general fundamentals.

Section snippets

Experimental data collection

In the literature and practice, ductility has been defined as the uniform elongation or the elongation to failure (Ovid'ko et al., 2018). Uniform elongation is generally less affected by the gage dimension of specimen. In contrast, the high dependence of necking strain on gage length often makes the elongation to failure artificially high or even meaningless if the uniform segment is relatively low and/or non-standard small specimen is used (Zhu and Wu, 2018), such as in the tests commonly

The optimum grain size (doptimum) for strength-ductility combination

We first take pure Cu as an example to probe the effect of grain size on mechanical properties. As shown in Fig. 1, the NS Cu displays high yield strength (>350 MPa) but poor ductility. Recrystallization leads to a rapid recovery of ductility in the FG regime (Fig. 1A), whereas the yield strength decreases gradually but still remains at a reasonably high level (300–100 MPa, Fig. 1B). The uniform elongation increases to almost 30% when grain size approaches 5 μm, at which the yield strength is

Theoretical model for predicting the doptimum

The existence of doptimum has significant implications for the design and choice of structural materials for superior mechanical properties at minimum material cost. For example, a 316 L stainless steel structure can reduce its weight by a third, while carrying the same load without sacrificing the strain energy density limit, if its grain size is refined from ∼40 μm to the critical size doptimum (∼1.2 μm) (Fig. S2). To rationalize the existence of doptimum and predict it theoretically, a

Microstructural physics for the best strength-ductility combination at doptimum

The optimal strength-ductility combination at the doptimum can be attributed to the unique microstructure. First, the FG has considerably high grain boundary density, which results in high σy values several times that of CG (Figs. 1B & 2C-D). Second, the recrystallized FG has ample room for dislocation storage, and at the same time the high-density grain boundary can effectively block dislocations to ensure a high storage rate. These effects lead to high dislocation hardening to retain

Conclusion

In summary, the grain size dependence of tensile properties are systematically analyzed in a series of single-phase materials to investigate the optimum grain size (doptimum) for strength-ductility combination, which can be indexed by the strain energy density limit such as by the products of strength and uniform elongation, δu*(σy+σuts)/2 and δu*σy. Specifically, particular attention was devoted to verifying the existence, seeking the exact value, establishing the theoretical prediction models

CRediT authorship contribution statement

Yanfei Wang: Conceptualization, Methodology, Data curation, Writing – original draft, Writing – review & editing. Chongxiang Huang: Conceptualization, Formal analysis, Data curation. Xiaolong Ma: Conceptualization, Formal analysis, Data curation, Validation, Writing – original draft. Jianfeng Zhao: Methodology, Investigation. Fengjiao Guo: Methodology, Data curation. Xiaotian Fang: Formal analysis, Data curation, Writing – original draft. Yuntian Zhu: Conceptualization, Writing – review &

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This work was supported by the NSFC Programs (Nos. 12102006, 11890681, 12032001, 11521202, 51931003), the National Key R&D Program of China (2021YFA1200202), the Hong Kong Research Grants Council (GRF 11214121), and the Postdoctoral Science Foundation of China (Nos. 2020M680223, BX2021011).

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