Exploring the fatigue strength improvement of Cu-Al alloys

Liu, R.; Tian, Yanzhong; Zhang, Z.J.; Zhang, P.; An, Xianghai; Zhang, Z.F.

doi:10.1016/j.actamat.2017.11.019

Cited by 72 publications

(15 citation statements)

References 42 publications

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“…The distributions against temper designations show the opposite behaviors as those for the proof stress and tensile strength. Generally, there is a common trend in metals where the elongation decreases as the tensile strength increases [55,56]. Our analysis derives the same trend from the data of aluminum alloys.…”

Section: Series Aluminum Alloyssupporting

confidence: 57%

Materials informatics approach to understand aluminum alloys

Watanabe

Mamiya

Washio

et al. 2020

Science and Technology of Advanced Materials

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The relations between the mechanical properties, heat treatment, and compositions of elements in aluminum alloys are extracted by a materials informatics technique. In our strategy, a machine learning model is first trained by a prepared database to predict the properties of materials. The dependence of the predicted properties on explanatory variables, that is, the type of heat treatment and element composition, is searched using a Markov chain Monte Carlo method. From the dependencies, a factor to obtain the desired properties is investigated. Using targets of 5000, 6000, and 7000 series aluminum alloys, we extracted relations that are difficult to find via simple correlation analysis. Our method is also used to design an experimental plan to optimize the materials properties while promoting the understanding of target materials.

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Section: Series Aluminum Alloyssupporting

confidence: 57%

Materials informatics approach to understand aluminum alloys

Watanabe

Mamiya

Washio

et al. 2020

Science and Technology of Advanced Materials

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show abstract

“…It is found that the UA state shows a better matching of strength and plasticity than that at the OA state. According to the previous studies [34][35][36], the materials with high strength-plasticity matching will yield a higher fatigue strength. Therefore, it is expectant that the UA state should show better fatigue properties than the OA state.…”

Section: Microstructures and Precipitatesmentioning

confidence: 99%

Effects of the aging state and tensile strength on the fatigue properties of 6A01 aluminum alloy

Gong

Zhang

Duan

et al. 2021

Preprint

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To study the effects of the aging state and tensile strength on the fatigue properties of 6A01 Al alloy, the high-cycle fatigue (HCF) experiments were carried out for different aging states. The results show that the 6A01 Al alloy with the highest tensile strength at peak-aging state can exhibit the highest fatigue strength in comparison with the overaged state and the underaged state. The main reason is that the increased strength of the 6A01 Al alloy at peak-aging state can improve the plastic deformation resistance and inhibit the fatigue crack initiation. Besides, the intermittent distribution of grain boundary precipitates at the peak-aging state is beneficial for reducing the fatigue damage. From these results, it is verified that the tensile strength plays a key role in the fatigue strength relative to the aging state for the low-strength Al alloys.

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“…For example, fully recrystallized nanostructures, heterogeneous nanostructures and gradient nanostructures have been developed in various metallic systems, which exhibit excellent tensile properties and fatigue properties. The nanostructured metallic materials with recrystallized structure can even manifest better fatigue strength than the coarse-grained and plastically deformed nanocrystalline counterparts (Liu et al, 2018), indicating that it is crucial to carefully design the suitable microstructure for superior mechanical performances. The materials having recrystallized nanostructures can also exhibit unconventional mechanical behavior in contrast to the coarse-grained counterparts.…”

Section: Editorial On the Research Topic Trends And Advances In Nano-mentioning

confidence: 99%