Microstructure evolution, damping capacities and mechanical properties of novel Mg-xAl-0.5Ce (wt%) damping alloys

Wang, Jingfeng; Li, Shun; Wu, Zhongshan; Wang, Haibo; Gao, Shiqing; Pan, Fusheng

doi:10.1016/j.jallcom.2017.09.193

Cited by 26 publications

(7 citation statements)

References 58 publications

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“…The measured data are shown in Figure 9 when the strain was 4 × 10 −5 and frequency was 1 Hz. The P1 peak appeared at approximately 420 K, which is the same phenomenon observed by many researchers, and the experimental evidence showed that the P1 peak was caused by grain boundary sliding [ 3 , 13 , 20 ]. As the strain rate increased, the P1 peak became increasingly intense, but when the strain rate was 5 s −1 , the P1 peak was not visible.…”

Section: Resultssupporting

confidence: 70%

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Effect of the Strain Rate on the Damping and Mechanical Properties of a ZK60 Magnesium Alloy

Feng

Sun

et al. 2020

Materials

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High strain rate rolling (HRSS) of a ZK60 magnesium alloy at 300 °C with a strain rate from 5 s−1 to 25 s−1 was used to research the effect of the rate on the mechanical properties and damping capacity of the ZK60 alloy. The results show that as the strain rate increases, the tensile strength decreases from 355 MPa at 25 s−1 to 310 MPa at 5 s−1. Two damping peaks (P1 and P2) are detected in the high strain rate rolled ZK60 alloys at different strain rates. The P1 peak appears at low temperatures and is caused by grain boundaries sliding. The P2 peak appears at high temperatures and is caused by recrystallization. As the strain rate increases from 5 to 20 s−1, the dynamic recrystallization (DRX) volume percent rises and the dislocation density decreases, both of which cause the P1 peak to become more and more obvious, and activation energy rises. At the same time, the dislocation density decreases and leads to a decrease in the storage energy, which reduces the recrystallization driving force and shifts the P2 peak to high temperatures. When the strain rate reaches 20 and 25 s−1, DRX occurs fully in the sheet, so the activation energy of the P1 peak and the temperature where the P2 peak appears are basically equal.

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Section: Resultssupporting

confidence: 70%

“…At high temperatures, the main damping mechanism is due to grain interface sliding [ 3 , 20 , 26 ]. Interface sliding can only be activated at low frequencies.…”

Section: Resultsmentioning

confidence: 99%

Effect of the Strain Rate on the Damping and Mechanical Properties of a ZK60 Magnesium Alloy

Feng

Sun

et al. 2020

Materials

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“…Thus the movement of dislocations between strong pinning points contributed the damping capacity at high strain. The damping mechanism for Mg alloys was considered as energy dissipation of dislocation movement, and the distance of dislocation movement had a great influence on damping capacity [19]. The similar grain size means the distance between strong pinning points was similar.…”

Section: Resultsmentioning

confidence: 99%

Microstructure and Damping Capacity of ZK60 Alloy Sheets Fabricated by Twin Roll Casting and Hot Rolling Process

Chen

2019

International Journal of Corrosion

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ZK60 magnesium alloy sheets with 0.65 mm thickness were successfully fabricated by twin roll casting (TRC) and subsequent hot rolling process. Fine equiaxed grains were obtained after T6 treatment by the short-term TRC and hot rolling process, and the grain size for different reduction ratio per pass was similar. The studied sheets exhibited high strength and elongation, and the tensile strength, yield strengths, and elongation for the 10% and 30% reduction per pass were above 400 MPa, 300 MPa, and 17.0 %, respectively. The damping capacity values at low strain decreased with increasing the reduction ration per pass and the values at high strain were similar for the different reduction ration per pass. The lower reduction ratio per pass and the heat treatment between rolling passes can improve the mobility of dislocations, which indicated that this process was beneficial for improving damping capacity. Compared with higher reduction ratio per pass, the high tensile properties and damping capacity were obtained by 10% reduction per pass hot rolling process.

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“…These possible variations in chemistry lead to a vast material space for magnesium alloys. More importantly, the mobility of crystalline defects, such as dislocations and twin boundaries, depends on environmental variables, such as frequency ( 𝑓 ), strain amplitude (𝜀), and temperature (𝑇), resulting in different damping capacities [33][34][35][36][37] . These variables form the service space for the damping capacity.…”

Section: Introductionmentioning

confidence: 99%

Estimating the performance of a material in its service space via Bayesian active learning: a case study of the damping capacity of Mg alloys

Shi¹,

Zhou²,

Fang³

et al. 2022

J Mater Inf

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In addition to being determined by its chemical composition and processing conditions, the performance of a material is also affected by the variables of its service space, including temperature, pressure, and frequency. A rapid means to estimate the performance of a material in its service space is urgently required to accelerate the screening of materials with targeted performance. In the present study, a materials informatics approach is proposed to rapidly predict performance within a service space based on existing data. We utilize an active learning loop, which employs an ensemble machine learning method to predict the performance, followed by a Bayesian experimental design to minimize the number of experiments for refinement and validation. This approach is demonstrated by predicting the damping properties of a ZE62 magnesium alloy in a service space defined by frequency, strain amplitude, and temperature based on the available data for other magnesium alloys. Several utility functions that recommend a particular experiment to refine the estimates of the service space are used and compared. In particular, the standard deviation is found to reduce the prediction error most efficiently. After augmenting the database with nine new experimental measurements, the uncertainties associated with the predicted damping capacities are largely reduced. Our method allows us to forecast the properties in the service space of a given material by rapid refinement of the predictions via experiment measurements.

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Microstructure evolution, damping capacities and mechanical properties of novel Mg-xAl-0.5Ce (wt%) damping alloys

Cited by 26 publications

References 58 publications

Effect of the Strain Rate on the Damping and Mechanical Properties of a ZK60 Magnesium Alloy

Effect of the Strain Rate on the Damping and Mechanical Properties of a ZK60 Magnesium Alloy

Microstructure and Damping Capacity of ZK60 Alloy Sheets Fabricated by Twin Roll Casting and Hot Rolling Process

Estimating the performance of a material in its service space via Bayesian active learning: a case study of the damping capacity of Mg alloys

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