Constitutive Model of Thixotropic Plastic Forming for Semi-Solid AZ61 Magnesium Alloy

Author(s):  
Hong Yan ◽  
Bing Feng Zhou
2010 ◽  
Vol 154-155 ◽  
pp. 690-693 ◽  
Author(s):  
Hong Yan ◽  
Jian Jin Wang ◽  
Fa Yun Zhang

A new constitutive model for semi-solid composites forming was derived with analyzing constitutive relationships of semi-solid metal and composites forming. Parameters in the constitutive model were determined by the multiple nonlinear regression method. A constitutive relationship of semi-solid SiCp/AZ61 composites thixotropic plastic forming was proposed. The calculated results were good agreement with the experimental ones. The proposed constitutive model has the higher forecast precision and practical significance. The construction of constitutive model provides references for the thixotropic forming theory, simulation and technology.


2006 ◽  
Vol 116-117 ◽  
pp. 639-642 ◽  
Author(s):  
Hong Yan ◽  
Bing Feng Zhou

Uniaxial compression tests on semi-solid AZ61 alloy fabricated by stain-induced activation (SIMA) process and the conventional casts were carried out using the Gleedle-1500 dynamic material testing machine. The relationships between stress and stain were analyzed. The numerical relationships among processing parameters (strain rate z ε& strain z ε temperature T liquid volume fraction L f ) and stress were studied. The proposed constitutive equation was established for semi-solid AZ61 magnesium alloy using the multiple nonlinear regression method. A scientific basic provided for both numerical simulation of processing process of semi- solid AZ61 alloy and rational choice and control of processing parameters.


2005 ◽  
Vol 2005.1 (0) ◽  
pp. 727-728
Author(s):  
Sumio Sugiyama ◽  
Jun Yanagimoto ◽  
Jer-Liang Kuo ◽  
Su-Hai Hsiang

2014 ◽  
Vol 989-994 ◽  
pp. 544-547
Author(s):  
Quan Li ◽  
Wen Jun Liu ◽  
Ren Ju Cheng ◽  
Cheng Li ◽  
Shan Jiang ◽  
...  

In this paper, the Back-Propagation neural network (BP network) and the establishment of the AZ61 magnesium alloy high temperature constitutive model and test data obtained for training the neural network, after training the neural network to become a knowledge-based constitutive model formed AZ61 magnesium alloy flow stress and dynamic recrystallization of the neural network model tested by the neural network model with traditional regression methods predict contrast, results showed that the higher the accuracy of the neural network model for dealing with a large number of test data to establish the constitutive relations of materials with high stress and promotion of value.


2005 ◽  
Vol 488-489 ◽  
pp. 389-392 ◽  
Author(s):  
Hong Yan ◽  
Juchen Xei

The plastic forming of magnesium alloy is difficult, but the semi-solid material forming is a good method solved this problem. The mechanical model of the semi-solid materials was treated as that of the continuous porous materials in the high solid volume fraction. The upper bound theory applied for semi-solid metal plastic forming process was developed. The velocity discontinuities exist not only in the tangential component but also in normal component for the kinematically admissible displacement increment filed. The latter one was responsible for a change in solid volume fraction when the material passes the discontinuity. An upper bound analytical model and theoretical method of plastic forming process for semi-solid material has been proposed. The calculating formulas of deformed power were derived. It is theoretical basement to apply further for the practice technology analysis such as the plastic forming of magnesium alloy.


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