Deformation mechanism of AZ91 alloy during compression at different temperatures

Wang, Dongxiao; Lin, Baosen; Jing, Yuanwei; Zhu, Qiang-qiang; Li, Jian-ping; Misra, R.D.K.

doi:10.1515/mt-2022-0239

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…It consists of a detection electrode set, deflector plate, microprocessor, and display module. This device helps to improve the stability of cotton pressure and compactness during the detection process, resulting in more-accurate moisture rate measurements [4,5]. Xiao Zhonggao et al [6] revealed a new device designed for the online testing of cotton.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of an Online Cotton Lint Sampling Device Using Coupled CFD–DEM Analysis

Wang,

Zhang

et al. 2024

Agriculture

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Cotton processing is the process of converting harvested seed cotton into lint by cleaning, ginning, and cleaning the lint. The real-time acquisition of lint parameters during processing is critical in improving cotton processing quality and efficiency. The existing online inspection system cannot realize quantitative sampling detection, resulting in large fluctuations in the detection of moisture rate, and the impurity content of lint can only be measured according to the number of impurity grains and the percentage of impurity areas. This research developed a quantitative sampling device for cotton lint processing that can collect the right number of cotton samples and obtain the weight of the samples, laying the foundation for the accurate detection of cotton lint dampness and impurity rates. This research aimed to develop an online quantitative sampling device with a sampling plate as its core. The quantitative sampling procedure, consisting of a gas–solid two-phase flow in a cotton pipeline, was numerically simulated and experimentally analyzed using computational fluid dynamics (CFD) and the discrete element method (DEM). According to the coupling results, the maximum pressure differential between the top and bottom regions of the sampling plate when conveying was 1024.45 Pa. This pressure is adequate to allow for cotton samples to accumulate on the sampling plate. Simultaneously, the steady conveying speed of lint is 59.31% of the unloaded conveying wind speed, providing a theoretical foundation for the sampling time of the quantitative sample device in the processing chain. The results from testing the prototype indicate that the quantitative sampling device in the cotton flow can effectively perform the quantitative sampling of cotton lint under uniform conditions, with a sampling pass rate of 84%.

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Section: Introductionmentioning

confidence: 99%

Numerical Simulation of an Online Cotton Lint Sampling Device Using Coupled CFD–DEM Analysis

Wang,

Zhang

et al. 2024

Agriculture

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Exploring the inhibition effect of tri-sodium phosphate concentrations on corrosion in Mg-sn-ca-mn anode for magnesium batteries

Karudesh,

Aneesh,

Francis

et al. 2024

Materials Technology

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Microstructure analysis, constitutive relationship, and processing map of novel pre-aged Mg-Zn-Gd-Er alloy with different deformation ranges

Che

Wang

et al. 2023

Materials Testing

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Pre-aged Mg-6Zn-1Gd-1Er alloy is a novel rapid aging hardening Mg alloy, and studying its hot deformation behavior has an important role in promoting the development of lightweight alloy materials. To study this, the flow stress curves of pre-aged Mg-6Zn-1Gd-1Er alloy at 180–380 °C and 10−3−10 s−1 were obtained by isothermal compression tests. The constitutive equations of the medium-high temperature deformation (MHTD) and the low-temperature deformation (LTD) were established, and their activation energies were 155.78 kJ mol−1 and 178.00 kJ mol−1, respectively. Based on the constitutive equation analysis, the glide and climb of dislocations and the cross-slip of dislocations was the deformation mechanism during MHTD and LTD, respectively. In order to determine the appropriate hot processing parameters, the hot processing map of the pre-aged Mg-6Zn-1Gd-1Er alloy under 0.2–0.8 strain was constructed based on the dynamic material model. The hot processing maps indicate that this pre-aged alloy at low temperature (180–230 °C) and high strain rates (1–10 s−1) mainly occurs flow instability, and the optimal hot processing window appears at a 330–380 °C and 10−3 to 10−2 s−1 range. Furthermore, the deformation mechanism of the stable domain with high power dissipation efficiency in the hot processing map was continuous dynamic recrystallization, discontinuous dynamic recrystallization, and particle-stimulated nucleation mechanisms.

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Deformation mechanism of AZ91 alloy during compression at different temperatures

Cited by 5 publications

References 19 publications

Numerical Simulation of an Online Cotton Lint Sampling Device Using Coupled CFD–DEM Analysis

Numerical Simulation of an Online Cotton Lint Sampling Device Using Coupled CFD–DEM Analysis

Exploring the inhibition effect of tri-sodium phosphate concentrations on corrosion in Mg-sn-ca-mn anode for magnesium batteries

Microstructure analysis, constitutive relationship, and processing map of novel pre-aged Mg-Zn-Gd-Er alloy with different deformation ranges

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