Effect of deformation induced precipitation on grain refinement and improvement of mechanical properties AA 7055 aluminum alloy

2017 ◽  
Vol 130 ◽  
pp. 123-134 ◽  
Author(s):  
Jinrong Zuo ◽  
Longgang Hou ◽  
Jintao Shi ◽  
Hua Cui ◽  
Linzhong Zhuang ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Aluminum Alloy ◽  
Grain Refinement ◽  
7055 Aluminum Alloy

scholarly journals Strengthening of AA5754 Aluminum Alloy by DRECE Process Followed by Annealing Response Investigation

Materials ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 301 ◽  
Author(s):  
Przemysław Snopiński ◽  
Tomasz Tański ◽  
Klaudiusz Gołombek ◽  
Stanislav Rusz ◽  
Ondřej Hilser ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Aluminum Alloy ◽  
Dislocation Density ◽  
Grain Refinement ◽  
Grain Growth ◽  
Xrd Analysis ◽  
Strength Reduction ◽  
Electron Backscattered Diffraction

In this study, a dual rolls equal channel extrusion (DRECE) process has been applied for improving the mechanical properties of the 5754 alloy. Supplementary experiments involving metallography, electron backscattered diffraction (EBSD), and XRD tests were carried out to evaluate the effect of the DRECE process. XRD analysis showed that the maximum dislocation density was achieved after six DRECE passes, which were accompanied by the formation that is typical for low-strain structures. The increasing dislocation density, as well as grain refinement throughout DRECE deformation, resulted in an increase in the mechanical properties. Annealing of the as-deformed sample resulted in grain growth and strength reduction.

Analysis of the microhardness, mechanical properties and electrical conductivity of 7055 aluminum alloy

Vacuum ◽  
2020 ◽  
Vol 171 ◽  
pp. 109005 ◽  
Author(s):  
Ping Zhang ◽  
Yuanyuan Li ◽  
Yanan Liu ◽  
Ying Zhang ◽  
Jixin Liu
Keyword(s):  
Mechanical Properties ◽  
Electrical Conductivity ◽  
Aluminum Alloy ◽  
7055 Aluminum Alloy

Research on the Strength Improvement of 7A04 Aluminum Alloy

2012 ◽  
Vol 488-489 ◽  
pp. 19-21
Author(s):  
Chao Jue Yi ◽  
Peng Cheng Zhai ◽  
Li Zhou Dong ◽  
Qi Hao Fu
Keyword(s):  
Mechanical Properties ◽  
Grain Size ◽  
Tensile Strength ◽  
Aluminum Alloy ◽  
Grain Refinement ◽  
Cryogenic Treatment ◽  
The Impact ◽  
Strength Improvement

By using cryogenic treatment on 7A04 aluminum alloy tested with micrographic analysis and mechanical properties test, we studied the impact on mechanical properties of 7A04 aluminum alloy The results showed that the strength of 7A04 aluminum alloy could be highly increased and the grain size would be reduced in the process through being treated in 480°C/80min + aging in 120°C/4h + cryogenic treatment + aging at 120°C/16h.7A04 aluminum alloy are more fully recrystallized to grain refinement and the tensile strength of it can be increased to 720Mpa after the treatment.

Mechanical Properties and Microstructures of 5052 Al Alloy Processed by Asymmetric Cryorolling

2016 ◽  
Vol 850 ◽  
pp. 823-828 ◽  
Author(s):  
Jin Tao Shi ◽  
Long Gang Hou ◽  
Cun Qiang Ma ◽  
Jin Rong Zuo ◽  
Hua Cui ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Aluminum Alloy ◽  
Grain Refinement ◽  
Cryogenic Temperature ◽  
Room Temperature ◽  
Velocity Ratio ◽  
Experimental Results ◽  
Al Alloy ◽  
Cryogenic Temperatures

Aluminum alloy sheets were asymmetrically rolled at room and cryogenic temperatures by imposing different velocity ratios of 1~1.5 between the upper and bottom rolls. After rolling, the stress-strain curves, microhardness as well as the microstructures of the rolled samples were characterized and analyzed. The experimental results showed that the asymmetric cryorolling could improve the grain refinement and offered (~12%) higher room temperature tensile strength than that processed by symmetrical rolling with velocity ration of 1.0 (~280 MPa). However, at cryogenic temperature, the strength of asymmetrically cryorolling sheet (with velocity ratio of 1.5) was 5.1%, which is less than that processed by symmetrical rolling.

scholarly journals An Optimized Multilayer Perceptrons Model Using Grey Wolf Optimizer to Predict Mechanical and Microstructural Properties of Friction Stir Processed Aluminum Alloy Reinforced by Nanoparticles

Coatings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1476
Author(s):  
Ahmed B. Khoshaim ◽  
Essam B. Moustafa ◽  
Omar Talal Bafakeeh ◽  
Ammar H. Elsheikh
Keyword(s):  
Mechanical Properties ◽  
Aluminum Alloy ◽  
Grain Refinement ◽  
Alumina Nanoparticles ◽  
Multilayer Perceptrons ◽  
Grey Wolf Optimizer ◽  
Microstructural Properties ◽  
Grey Wolf ◽  
Friction Stir ◽  
Mechanical And Microstructural Properties

In the current investigation, AA2024 aluminum alloy is reinforced by alumina nanoparticles using a friction stir process (FSP) with multiple passes. The mechanical properties and microstructure observation are conducted experimentally using tensile, microhardness, and microscopy analysis methods. The impacts of the process parameters on the output responses, such as mechanical properties and microstructure grain refinement, were investigated. The effect of multiple FSP passes on the grain refinement, and various mechanical properties are evaluated, then the results are conducted to train a hybrid artificial intelligence predictive model. The model consists of a multilayer perceptrons optimized by a grey wolf optimizer to predict mechanical and microstructural properties of friction stir processed aluminum alloy reinforced by alumina nanoparticles. The inputs of the model were rotational speed, linear processing speed, and number of passes; while the outputs were grain size, aspect ratio, microhardness, and ultimate tensile strength. The prediction accuracy of the developed hybrid model was compared with that of standalone multilayer perceptrons model using different error measures. The developed hybrid model shows a higher accuracy compared with the standalone model.

Sign in / Sign up

Export Citation Format

Share Document