Understanding the effect of hot extrusion on the evolution of microstructure and associated mechanical properties in sintered Al-Cu-Mg alloys

Bharath, Katti; Mandal, Arka; Karmakar, Anish; Khanra, Asit Kumar; Davidson, M. J.

doi:10.1016/j.matchar.2020.110715

Cited by 17 publications

(2 citation statements)

References 62 publications

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“…Figure 7 shows that increasing the temperature leads to the formation of fine grains. Elongated grains can be seen in Figure 7 a, passing with DRX at grain boundaries in Figure 7 b and, finally, complete DRX and the growth of fine grains, as in Figure 7 c. The effect of temperature on different alloys has been noticed with the same findings, such as nickel [ 154 , 155 ], Al-Cu-Mg [ 156 ], titanium [ 157 ] Ni-Co [ 158 ], and aluminum [ 159 ] alloys.…”

Section: Flow Stress Behaviormentioning

confidence: 54%

On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson–Cook and Modified Johnson–Cook-Based Models: A Review

et al. 2023

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This paper reviews the flow behavior and mathematical modeling of various metals and alloys at a wide range of temperatures and strain rates. Furthermore, it discusses the effects of strain rate and temperature on flow behavior. Johnson–Cook is a strong phenomenological model that has been used extensively for predictions of the flow behaviors of metals and alloys. It has been implemented in finite element software packages to optimize strain, strain rate, and temperature as well as to simulate real behaviors in severe conditions. Thus, this work will discuss and critically review the well-proven Johnson–Cook and modified Johnson–Cook-based models. The latest model modifications, along with their strengths and limitations, are introduced and compared. The coupling effect between flow parameters is also presented and discussed. The various methods and techniques used for the determination of model constants are highlighted and discussed. Finally, future research directions for the mathematical modeling of flow behavior are provided.

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Section: Flow Stress Behaviormentioning

confidence: 54%

On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson–Cook and Modified Johnson–Cook-Based Models: A Review

et al. 2023

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“…As a lightweight structural materials used in aerospace fields, the aluminium alloy has low intensity, high strength and excellent damage tolerant properties [1,2]. Hot deformation is an indispensable step of thermal processing, and the main processing techniques are forging and rolling for 7085 aluminium alloys.…”

Section: Introductionmentioning

confidence: 99%

Effect of deformation pass on softening mechanism and microstructure of 7085 alloy

Zhao

Zhang

et al. 2023

Materials Science and Technology

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Thermal deformation plays a key role in improving the comprehensive performance of 7085 aluminium alloy. We simulated the thermal deformation with a Gleeble-3800 thermal simulator under various deformation passes. The results showed that the softening mechanism in every deformation pass is principally recovery, and recrystallisation is relatively low. The sample compression by the single pass deformation at 673 K has the maximum recrystallisation fraction of 27.4%. The recrystallisation fraction of the sample compressed by three passes at 673 K and holding time of 120s reaches 23.2% due to the activation of meta-dynamic recrystallisation. Meanwhile, static recovery is more sufficient and more regular sub-grains (73.8%) are observed. Additionally, multi-pass deformation process is adopted to decrease the texture intensity and grain anisotropy.

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New Method for Microstructure Segmentation and Automatic Grain Size Determination Using Computer Vision Technology during the Hot Deformation of an Al-Zn-Mg Powder Metallurgy Alloy

Harikrishna,

Davidson,

Reddy

2023

J. of Materi Eng and Perform

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Understanding the effect of hot extrusion on the evolution of microstructure and associated mechanical properties in sintered Al-Cu-Mg alloys

Cited by 17 publications

References 62 publications

On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson–Cook and Modified Johnson–Cook-Based Models: A Review

On the Prediction of the Flow Behavior of Metals and Alloys at a Wide Range of Temperatures and Strain Rates Using Johnson–Cook and Modified Johnson–Cook-Based Models: A Review

Effect of deformation pass on softening mechanism and microstructure of 7085 alloy

New Method for Microstructure Segmentation and Automatic Grain Size Determination Using Computer Vision Technology during the Hot Deformation of an Al-Zn-Mg Powder Metallurgy Alloy

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