Extreme Abnormal Grain Growth: Connecting Mechanisms to Microstructural Outcomes

Krill, Carl E.; Holm, Elizabeth A.; Dake, Jules M.; Cohn, Ryan; Holíková, Karolína; Andorfer, Fabian

doi:10.1146/annurev-matsci-080921-091647

Cited by 6 publications

(2 citation statements)

References 129 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, the timing of the end of the cycle is approximated by the increase in the radius, which introduces additional uncertainty. To confirm that dislocation injections are necessary to yield persistent AGG [60], a simulation that omits the driving force due to the stored energy difference is performed. To allow for a direct comparison, an identical initial microstructure is employed, as depicted in figure 9(a).…”

Section: Microstructure Evolution Within a Confined Regionmentioning

confidence: 99%

Phase-field modeling of stored-energy-driven grain growth with intra-granular variation in dislocation density

Huang,

Mensah,

Chlupsa

et al. 2024

Modelling Simul. Mater. Sci. Eng.

View full text Add to dashboard Cite

We present a phase-field model to simulate the microstructure evolution occurring in polycrystalline materials with a variation in the intra-granular dislocation density. The model accounts for two mechanisms that lead to the grain boundary migration: the driving force due to capillarity and that due to the stored energy arising from a spatially varying dislocation density. In addition to the order parameters that distinguish regions occupied by different grains, we introduce dislocation density fields that describe spatial variation of the dislocation density. We assume that the dislocation density decays as a function of the distance the grain boundary has migrated. To demonstrate and parameterize the model, we simulate microstructure evolution in two dimensions, for which the initial microstructure is based on real-time experimental data. Additionally, we applied the model to study the effect of a cyclic heat treatment on the microstructure evolution. Specifically, we simulated stored-energy-driven grain growth during three thermal cycles, as well as grain growth without stored energy that serves as a baseline for comparison. We showed that the microstructure evolution proceeded much faster when the stored energy was considered. A non-self-similar evolution was observed in this case, while a nearly self-similar evolution was found when the microstructure evolution is driven solely by capillarity. These results suggest a possible mechanism for the initiation of abnormal grain growth during cyclic heat treatment. Finally, we demonstrate an integrated experimental-computational workflow that utilizes the experimental measurements to inform the phase-field model and its parameterization, which provides a foundation for the development of future simulation tools capable of quantitative prediction of microstructure evolution during non-isothermal heat treatment.

show abstract

Section: Microstructure Evolution Within a Confined Regionmentioning

confidence: 99%

Phase-field modeling of stored-energy-driven grain growth with intra-granular variation in dislocation density

Huang,

Mensah,

Chlupsa

et al. 2024

Modelling Simul. Mater. Sci. Eng.

View full text Add to dashboard Cite

show abstract

“…On the other hand, in abnormal grain growth (often referred to as secondary recrystallization), a small number of larger grains emerge, gradually consuming a matrix of smaller grains. A bimodal grain-size distribution is observed during abnormal grain growth [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Computationally Efficient Algorithm for Modeling Grain Growth Using Hillert’s Mean-Field Approach

Chatroudi,

Cicoria,

Zurob

2024

Materials

View full text Add to dashboard Cite

To investigate the interconnected effects of manufacturing processes on microstructure evolution during hot-rolling, a through process model is required. A novel numerical implementation of the mean-field approach was introduced to efficiently describe the grain growth of larger systems and extended durations. In this approach, each grain is embedded within an average medium and interacts with the average medium, thus avoiding the complexities of individual grain interactions. The proposed upsampling approach dynamically adjusts the simulation grain ensemble, ensuring efficiency and accuracy regardless of the initial number of grains present. This adaptation prevents undersampling artifacts during grain growth. The accuracy of the model is verified against analytical solutions and experimental data, demonstrating high agreement. Moreover, the effects of different initial conditions are successfully investigated, demonstrating the model’s versatility. Due to its simplicity and efficiency, the model can be seamlessly integrated into other microstructure evolution models.

show abstract

3D characterization of abnormal grain growth in nanocrystalline nickel

Zhu,

Huang,

Cai

et al. 2023

Materials Genome Engineering Advances

View full text Add to dashboard Cite

Abnormal grain growth, a pervasive phenomenon witnessed during the annealing of nanocrystalline metals, precipitates a swift diminution of the distinctive properties inherent to such materials. Historically, conventional transmission electron microscopy has struggled to efficiently procure comprehensive five‐parameter crystallographic information from a substantial number of grain boundaries in nanocrystalline metals, thus inhibiting a deeper understanding of abnormal grain growth behavior within nanocrystalline materials. In this study, we utilize a high‐throughput characterization method—three‐dimensional orientation mapping in the TEM (3D‐OMiTEM) to characterize the crystallographic five‐parameter character of grain boundaries with an area of over 3.4 × 106 nm2 in an abnormally grown nanocrystalline nickel sample. When coupled with existing theoretical simulation results, it is discerned that the grain boundary population shows a relatively large scatter when it is correlated to the calculated grain boundary energy; the grain boundaries of abnormally grown grains exhibit lower grain boundary energy compared to those that have not undergone abnormal growth. Merging high‐throughput grain boundary information obtained from three‐dimensional orientation mapping data with grain boundary properties derived from high‐throughput theoretical calculations following the concept of materials genome engineering will undoubtedly facilitate further advancements in comprehending and discerning the interfacial behaviors of crystalline materials.

show abstract

Extreme Abnormal Grain Growth: Connecting Mechanisms to Microstructural Outcomes

Cited by 6 publications

References 129 publications

Phase-field modeling of stored-energy-driven grain growth with intra-granular variation in dislocation density

Phase-field modeling of stored-energy-driven grain growth with intra-granular variation in dislocation density

Computationally Efficient Algorithm for Modeling Grain Growth Using Hillert’s Mean-Field Approach

3D characterization of abnormal grain growth in nanocrystalline nickel

Contact Info

Product

Resources

About