Hot deformation behavior and microstructural evolution of as-quenched 7055 Al alloy fabricated by powder hot extrusion

Ren, Jian; Wang, Richu; Feng, Yan; Peng, Chaoqun

doi:10.1016/j.matchar.2019.109833

Cited by 48 publications

(11 citation statements)

References 22 publications

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“…Suppose that deformation behavior of alloy under the present condition is thermal-activated process, the Arrheniustype equation can describe the flow behavior of AlZnMg Cu alloy by the following equations: 19…”

Section: Establishment and Analysis Of Constitutive Equationmentioning

confidence: 99%

Hot Deformation Behavior of 7085 Aluminum Alloy Based on Deformation Heating and Friction

2020

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The hot deformation behavior and constitutive analysis of AA7085 aluminum alloy based on the uncorrected and corrected flow stress for deformation heating and friction were investigated by hot compressive tests. The results show that deformation heating has more significant influence on the flow stress than that of friction. Two constitutive equations with and without deformation heating and friction could properly describe the hot deformation behavior of the material. However, the revised constitutive model to describe the hot deformation of AA7085 aluminum alloy taking account of deformation heating and friction is proposed at high strain rate, which gives the values of correlation coefficient and average absolute relative error are 0.989 and 4.86%, respectively.

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Section: Establishment and Analysis Of Constitutive Equationmentioning

confidence: 99%

Hot Deformation Behavior of 7085 Aluminum Alloy Based on Deformation Heating and Friction

2020

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“…As shown in Figure 6 a and Figure 8 a, massive DRX grains caused by PSN are formed at high Z parameter, which can release the stress concentration around particles to prevent the occurrence of instability. On the other hand, the PM composites have fine initial grain size, which can give rise to a high fraction of grain boundaries and thus increase DRX kinetics to accelerate the onset of DRX during hot deformation [ 14 , 16 , 49 ]. In addition, the small grain size can reduce the migration distance of dislocations and subgrain boundaries, preventing the occurrence of local plastic flow [ 47 ].…”

Section: Discussionmentioning

confidence: 99%

“…For instance, Yang et al [ 15 ] demonstrated that materials with fine grain structures exhibited lower flow stress and narrower instability deformation zones than those with coarse structures. Ren et al [ 16 ] reported that fine-grained metal materials had favorable coordinated deformation capability and massive dynamic recrystallization (DRX) during the thermal deformation. Thus, due to the complex influence of particles and initial microstructure on hot deformation behavior, various deformation behaviors, including work hardening, dynamic softening or plastic instability, concurrently occur in PRAMCs [ 17 , 18 ].…”

Section: Introductionmentioning

confidence: 99%

Hot Deformation Behavior and Workability of In-Situ TiB2/7050Al Composites Fabricated by Powder Metallurgy

Zhu

Liu

et al. 2020

Materials

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Isothermal compression tests of in situ TiB2/7050Al composites fabricated by powder metallurgy were performed at 300–460 °C with the strain rate varying from 0.001 s−1 to 1 s−1. The Arrhenius constitutive equation and hot processing map of composites were established, presenting excellent hot workability with low activation energies and broad processing windows. Dramatic discontinuous/continuous dynamic recrystallization (DDRX/CDRX) and grain boundary sliding (GBS) take place in composites during deformation, depending on the Zener-Hollomon parameter (Z) values. It was found that initially uniform TiB2 particles and fine grain structures are beneficial to the DDRX, which is the major softening mechanism in composites at high Z values. With the Z value decreasing, dynamic recovery and CDRX around particles are enhanced, preventing the occurrence of DDRX. In addition, fine grain structures in composites are stable at elevated temperature thanks to the pinning of dense nanoparticles, which triggers the occurrence of GBS and ensures good workability at low Z values.

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“…The principal goal of the procedure is to discover the weights for reducing the RMSE which is acquired by calculating the change between network prediction and actual responses 52.

true normalRMSE = {(1 false/ n \sum_{normali = 1}^{normaln} {(y_{normali} - y_{normaldi})}^{2})}^{1 false/ 2}

…”

Section: Methodsmentioning

confidence: 99%

Porosity Estimation of Mesoporous TiO₂‐ZnO Nanocrystalline by Artificial Neural Network Modeling

et al. 2021

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Artificial neural network was introduced for modeling and verifying the relative significance of operational variables to attain the best possible average pore diameter (Dp) of the mesoporous TiO2‐ZnO nanocrystalline synthesized by microwave‐assisted hydrothermal method. To optimize the system, the autonomous variables calcination temperature and concentrations of D‐glucose, polyethylene glycol, and Zn‐Ti were employed as input factors, Dp was designated as output. Dp was achieved from the implementation of the experimental model of the variables by the Barrett‐Joyner‐Halenda method. The network was trained by IBP, BBP, LM, QP, and GA algorithms as a model. The BBP‐4‐7‐1 model provided the optimum numerical properties among four other algorithms. Furthermore, the calcination temperature acted as the most efficient variable whilst D‐glucose concentration showed the least effect. By validating the microwave‐assisted hydrothermal conditions, in situ polymerization of poly(sodium 4‐styrene sulfonate) was introduced to activate mesopore walls by –SO3H functional groups used for ester production by transesterification of used cooking oil, resulting in a methyl ester content of 97.4 % and excellent reusability for ten sequential reactions without any further regeneration.

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Hot deformation behavior and microstructural evolution of as-quenched 7055 Al alloy fabricated by powder hot extrusion

Cited by 48 publications

References 22 publications

Hot Deformation Behavior of 7085 Aluminum Alloy Based on Deformation Heating and Friction

Hot Deformation Behavior of 7085 Aluminum Alloy Based on Deformation Heating and Friction

Hot Deformation Behavior and Workability of In-Situ TiB2/7050Al Composites Fabricated by Powder Metallurgy

Porosity Estimation of Mesoporous TiO₂‐ZnO Nanocrystalline by Artificial Neural Network Modeling

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Hot deformation behavior and microstructural evolution of as-quenched 7055 Al alloy fabricated by powder hot extrusion

Cited by 48 publications

References 22 publications

Hot Deformation Behavior of 7085 Aluminum Alloy Based on Deformation Heating and Friction

Hot Deformation Behavior of 7085 Aluminum Alloy Based on Deformation Heating and Friction

Hot Deformation Behavior and Workability of In-Situ TiB2/7050Al Composites Fabricated by Powder Metallurgy

Porosity Estimation of Mesoporous TiO2‐ZnO Nanocrystalline by Artificial Neural Network Modeling

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Porosity Estimation of Mesoporous TiO₂‐ZnO Nanocrystalline by Artificial Neural Network Modeling