Analysis Of Fea Abaqus, Adaptive Mesh ( Ale ) Method

2423 Words Apr 15th, 2016 10 Pages

Student Number: 1337150

In FEA ABAQUS, adaptive mesh (ALE) method is one of the most important elements to maintain a high-quality mesh throughout an analysis in a case that large deformation causes element distortion. The purpose of this master of engineering report is to use adaptive meshing in simulation of an axisymmetric forging problem where highly deformation was seen. Meanwhile, investigating results of elastic-plastic deformation simulation in FEA ABAQUS. Through finishing the simulation under different mesh sizes and mesh types in ABAQUS, rectangle type meshing is better for this forging problem and the best final element size is 3 mm (normal).

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It is aimed to make one area with including the adaptive mesh (ALE) control effect. Figure 4: Dividing the blank for mesh

With the sketch completed already, the assembly between the die and blank can be done quickly in assembly region through creating instances from parts region and translate them together to satisfy the Figure 1. It will be analysed as shown in Figure 5. Note that it is greatly significate to set a reference point for the die in the part model, which directly effects defining the boundary condition and success of the simulation in the end of the job model. Figure 5: the assembly between the die and blank

1.3 Applying the Material Properties
The material properties for ASTM A285 Grade B Carbon Steel came from steel material properties databases on the MakeItFrom website. Table shown blow provides the mechanical properties also found in steel material properties databases.

Tensile Strength(Ultimate) 420Mpa
Tensile Strength(Yield) 200Mpa
Density 7.84 kg/m^3
Poisson’s Rate 0.3
Young’s Modulus 210000Mpa
Table 1: Mechanical Properties of ASTM A285 Grade B Carbon Steel

To perform the elastic-plastic analysis, one material had to be created. This material has five physical properties that need to be applied to the test specimen which are Density, Young’s Modulus, Poisson’s Rate, Yield stress and

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