Simulation of the Hot Extrusion Process of Sintered WCu40 Covered with a Steel Cup

2013 ◽  
Vol 762 ◽  
pp. 520-525
Author(s):  
Qiang Lin ◽  
Zu Yan Liu ◽  
Xin Yan Su
Keyword(s):  
Powder Compact ◽  
Hot Extrusion ◽  
Extrusion Process ◽  
Extrusion Ratio ◽  
Extrusion Temperature ◽  
Optimal Parameters ◽  
Stress Strain ◽  
Strain Relationship ◽  
Relationship Of

In this paper, based on the determination of the stress-strain relationship of sintered W-40wt.%Cu by upsetting tests, the hot extrusion process of the materials covered with a steel cup has been simulated by DEFORM. The effect of the thickness of steel cup, extrusion temperature and extrusion ratio on the extrusion process has been studied, so that a group of optimal parameters could be obtained which is useful to the experiment of powder compact by extrusion with cups.

Deformation Characteristics of Aluminum-Clad Stainless Steel Sheet Under Uniaxial Tension

1998 ◽  
Vol 120 (1) ◽  
pp. 179-184 ◽  
Author(s):  
T. Mori ◽  
S. Kurimoto
Keyword(s):  
Stainless Steel ◽  
Tensile Test ◽  
Rolling Process ◽  
Deformation Characteristics ◽  
Stress Strain ◽  
Steel Sheets ◽  
Clad Sheet ◽  
Strain Relationship ◽  
Relationship Of

Clad sheets are now widely used in a wide variety of industrial practices, however, determination of deformation characteristics are difficult. In this research, the unique deformation characteristics and properties of aluminum-clad stainless steel sheets produced by hot rolling process are discussed. The tensile test and characteristics of necking appearing on the clad sheet and the separate materials composing the clad sheet are examined. The results of the experiments for the stress-strain curves of the separate materials compared well with the estimated values. The stress-strain relationship of the separate materials can thus be determined from the tensile test of clad sheet.

Semi-inverse method for predicting stress–strain relationship from cone indentations

2003 ◽  
Vol 18 (9) ◽  
pp. 2068-2078 ◽  
Author(s):  
A. DiCarlo ◽  
H. T. Y. Yang ◽  
S. Chandrasekar
Keyword(s):  
A Priori ◽  
Model Material ◽  
Material Behavior ◽  
The Finite Element Method ◽  
Stress Strain ◽  
Indentation Tests ◽  
Strain Relationship ◽  
Initial Force ◽  
Relationship Of ◽  
Force Displacement

A method for determining the stress–strain relationship of a material from hardness values H obtained from cone indentation tests with various apical angles is presented. The materials studied were assumed to exhibit power-law hardening. As a result, the properties of importance are the Young's modulus E, yield strength Y, and the work-hardening exponent n. Previous work [W.C. Oliver and G.M. Pharr, J. Mater. Res. 7, 1564 (1992)] showed that E can be determined from initial force–displacement data collected while unloading the indenter from the material. Consequently, the properties that need to be determined are Y and n. Dimensional analysis was used to generalize H/E so that it was a function of Y/E and n [Y-T. Cheng and C-M. Cheng, J. Appl. Phys. 84, 1284 (1999); Philos. Mag. Lett. 77, 39 (1998)]. A parametric study of Y/E and n was conducted using the finite element method to model material behavior. Regression analysis was used to correlate the H/E findings from the simulations to Y/E and n. With the a priori knowledge of E, this correlation was used to estimate Y and n.

Study on Stress-Strain Relationship of Loess

2004 ◽  
Vol 274-276 ◽  
pp. 241-246 ◽  
Author(s):  
Bo Han ◽  
Hong Jian Liao ◽  
Wuchuan Pu ◽  
Zheng Hua Xiao
Keyword(s):  
Stress Strain ◽  
Strain Relationship ◽  
Relationship Of

scholarly journals Simulating the Stress-Strain Relationship of Geomaterials by Support Vector Machine

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Hongbo Zhao ◽  
Zenghui Huang ◽  
Zhengsheng Zou
Keyword(s):  
Support Vector Machine ◽  
Constitutive Relationship ◽  
Support Vector ◽  
Nonlinear Relationship ◽  
Ann Model ◽  
Stress Strain ◽  
Svm Model ◽  
Strain Relationship ◽  
Artificial Neural Network Ann ◽  
Relationship Of

Stress-strain relationship of geomaterials is important to numerical analysis in geotechnical engineering. It is difficult to be represented by conventional constitutive model accurately. Artificial neural network (ANN) has been proposed as a more effective approach to represent this complex and nonlinear relationship, but ANN itself still has some limitations that restrict the applicability of the method. In this paper, an alternative method, support vector machine (SVM), is proposed to simulate this type of complex constitutive relationship. The SVM model can overcome the limitations of ANN model while still processing the advantages over the traditional model. The application examples show that it is an effective and accurate modeling approach for stress-strain relationship representation for geomaterials.

Sign in / Sign up

Export Citation Format

Share Document