Microstructure evolution, slip patterns and flow stress

2001 ◽  
Vol 319-321 ◽  
pp. 46-54 ◽  
Author(s):  
D.A Hughes
2019 ◽  
Vol 116 (1) ◽  
pp. 120
Author(s):  
Tao Zhang ◽  
Lei Li ◽  
Shihong Lu ◽  
Zhengfang Li ◽  
Peng Chen ◽  
...  

In order to acquire flow characteristics in multi-pass hot plastic deformation and the optimized processing parameters for 7055 aluminum alloy, the double-pass hot compressive flow stress behavior was studied at the temperatures from 300 to 420 °C, the strain from 0.2 to 0.4 and the pass interval time from 10 to 100s on Gleeble-3180 thermo-simulation machine. The static recrystallization (SRX) kinetics and grain size model of 7055 aluminum alloy were acquired by regression analysis. The metallographic tests were conducted and the effects of pass interval time, temperature and strain on microstructure evolution of SRX were analyzed. The results show that 7055 aluminum alloy is temperature sensitive material and the yield flow stress decreases with ascending temperature and pass interval time. Large strain, high temperature and long pass interval time are beneficial to larger SRX fraction and grain refinement. The investigation of flow characteristic and microstructure evolution can be a guidance to acquire optimized processing parameters for multi-pass hot deformation of 7055 aluminum alloy.


2007 ◽  
Vol 14 (5) ◽  
pp. 355-358
Author(s):  
Li-min WANG ◽  
Ning LIU ◽  
Li-qing CHEN ◽  
Xiang-hua LIU ◽  
Zheng-dong LIU ◽  
...  

2019 ◽  
Vol 797 ◽  
pp. 735-743 ◽  
Author(s):  
Lianpeng Su ◽  
Hanyuan Liu ◽  
Lei Jing ◽  
Zhentao Yu ◽  
Wenxian Wang ◽  
...  

2010 ◽  
Vol 146-147 ◽  
pp. 1056-1061
Author(s):  
Shi Quan Huang ◽  
You Ping Yi ◽  
Yu Xun Zhang

The prediction of dynamic recrystallization (DRX) plays an important role in design of hot forging process. In this work, a simulation model coupled cellular automaton (CA) with FEM was proposed to quantitatively simulate the microstructure evolution and flow stress during 7050 aluminium alloy wheel die forging. The model of dislocation density was established by isothermal compression test on Gleeble-1500. The physical fields, such as temperature, strain rate and strain, were obtained by DEFORM-3D for microstructure simulation. To refine grain size and improve uniformity, the isothermal forging parameters for 7050 aluminium alloy wheel were optimized by CA simulation. The simulation results showed that DRX percentage increased from 9.9% to 50% by using isothermal forging instead of hot die forging, while the flow stress decreased from 84MPa to 40MPa. Uniform density and small grain related with high mechanical properties were achieved via isothermal die forging process. The experiments of scaled wheel die forging were carried out on a hydraulic press with nominal working pressure 3150KN to verify simulation results. The good agreement between the simulation results and the experimental results indicate that the simulation model presented in this work can be used to predict the microstructure evolution of forging and optimization of forging process.


2015 ◽  
Vol 22 (3) ◽  
pp. 815-820 ◽  
Author(s):  
Li Li ◽  
Hui-zhong Li ◽  
Xiao-peng Liang ◽  
Lan Huang ◽  
Tao Hong

2011 ◽  
Vol 337 ◽  
pp. 178-183 ◽  
Author(s):  
Jian Wang ◽  
Hong Xiao ◽  
Hong Biao Xie ◽  
Xiu Mei Xu

Microstructure evolution can cause changes in dislocation density during hot plastic formation of metals and greatly influence the shape of flow curves. Recrystallization kinetics and average grain size were simulated by the coupled flow stress model describing dislocation development and microstructure evolution. The model for microstructure evolution considered different kinds of recrystallization in the same process rooted from nucleation and grain growth. Flow stress was calculated from the average dislocation density determined by the dislocation density model, which took into account hardening and recovery during the hot deformation process. Model parameters were defined by inverse analysis of flow curves obtained from hot compression tests and were completed through solving a nonlinear least-squares problem with constraints using optimization methods. Finally, the results obtained by the proposed model were compared with experimental results.


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