Research Paper

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In Fig 2, stress-strain model output is compared to experimental output for cycles 1, 2, and 10. A point of saturation is attained at the end of 10 cycles in both cases. Maximum tensile principal stress is an important study parameter which is the proposed cause of fracture in Si particles. Debonding is studied on the basis of hydrostatic stresses on particle matrix interface. The screening of the two significant parameters is listed under table 2.
 
In Fig 2, stress-strain model output is compared to experimental output for cycles 1, 2, and 10. A point of saturation is attained at the end of 10 cycles in both cases. Maximum tensile principal stress is an important study parameter which is the proposed cause of fracture in Si particles. Debonding is studied on the basis of hydrostatic stresses on particle matrix interface. The screening of the two significant parameters is listed under table 2.
 
Schematic from mesh # 10 is shown as an example in Fig. 4 along with finite element fine mesh region near the silicon particles in mesh # 10. In these cases, main intention is to quantify the pattern of fracture and debonding in adjacent particles and their effect on neighboring particles.
 
Schematic from mesh # 10 is shown as an example in Fig. 4 along with finite element fine mesh region near the silicon particles in mesh # 10. In these cases, main intention is to quantify the pattern of fracture and debonding in adjacent particles and their effect on neighboring particles.
Data from table 2 shows that shape and alignment plays a significant role in fracture and debonding of the Si particles that are highly intact. Spacing between the particles becomes a significant factor in later phases when several bonds are broken in the matrix. Spacing and configuration accelerates the rate of fracture and debonding in the cluster towards saturation. Some particles are fractured in the beginning in order to study stress distribution on the neighboring particles. Fig 4, 5 and 6 represent successive phases from bonded state towards cracked and debonded state. Contours in Fig 7-12 represent several combination and phases in terms of maximum principal stresses and maximum hydrostatic stresses. 
 
  
  
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Data from table 2 shows that shape and alignment plays a significant role in fracture and debonding of the Si particles that are highly intact. Spacing between the particles becomes a significant factor in later phases when several bonds are broken in the matrix. Spacing and configuration accelerates the rate of fracture and debonding in the cluster towards saturation. Some particles are fractured in the beginning in order to study stress distribution on the neighboring particles. Fig 4, 5 and 6 represent successive phases from bonded state towards cracked and debonded state. Contours in Fig 7-12 represent several combination and phases in terms of maximum principal stresses and maximum hydrostatic stresses. 
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Revision as of 15:46, 5 May 2015

Abstract

The objective of this research is to study the influence of morphology on fracture and debonding of silicon particles embedded in an Al-1%Si matrix. The fracture and deboning is caused by applied tensile and compressive cyclic loading conditions. Finite element method is used to study these effects to accurately represent particle geometry, particle interactions, and the stress-strain behavior of the aluminum matrix. A cluster of 4 to 8 silicon particle inclusion is chosen for the study over infinite array of inclusion or single isolated inclusion. Silicon particles are modeled with linear elastic constitutive relationship and matrix material using internal state variable cyclic plasticity model. A two level design of experiments method is used to test 16 sets of combination made with 7 variables; relative particle size, shape, spacing, configuration, alignment, grouping and matrix microporosity. Results of the study demonstrates the dominance of shape and alignment during initial phases fracturing and debonding and spacing during later phases. Local intensification of stresses in induced by particle debonding in Al-1%Si matrix. This intensification of stresses is higher than that of particle fracture. Enhancement is spacing due to consecutive fracturing in the cluster becomes a dominant factor due to large local intensification of stresses as mentioned above.


Methodology

Two level design of experiments (DOE) method is used to study the effects of seven parameters at their chosen range of conditions is shown in Fig.1. A total of 16 significant combinations of the 7 morphological parameters at their extreme conditions are chosen for the study, shown in the following Table 1. The extremes for these parameters are based on micro-graphical observations from an A365 aluminum alloy study which constitutes silicon particles. Finite element cases were created for all 16 combinations with following assumptions;

  1. Traces of other element are not considered in the model though that are generally present in the alloy to promote hardening and other casting properties.
  2. The silicon particles are assumed to behave in an isotropic linear elastic. The Al matrix material is described using an internal state variable plasticity model with coupled micro void growth.
  3. Temperature and strain rate dependence on the plasticity of the model were not considered. Experimental data regression is thoroughly used to generate constants for the model

In Fig 2, stress-strain model output is compared to experimental output for cycles 1, 2, and 10. A point of saturation is attained at the end of 10 cycles in both cases. Maximum tensile principal stress is an important study parameter which is the proposed cause of fracture in Si particles. Debonding is studied on the basis of hydrostatic stresses on particle matrix interface. The screening of the two significant parameters is listed under table 2. Schematic from mesh # 10 is shown as an example in Fig. 4 along with finite element fine mesh region near the silicon particles in mesh # 10. In these cases, main intention is to quantify the pattern of fracture and debonding in adjacent particles and their effect on neighboring particles.


Image 1.png

Image 2.png

Image 3.png

Fig. 1. Schematic demonstrating the different parameters considered in the present finite element study. The parameter ranges were determined by examining actual micrographs of a modified cast A356 aluminum alloy Fig 2 : Experimental and model stress-strain response for the Al-1%Si matrix material in the finite element simulations. Fig 3: (a) Schematic of mesh 10 with the silicon particles enlarged to highlight their distribution. The actual radii are given in mesh units on the lower left corner of the mesh. (b) The finite element fine mesh region near the silicon particles in mesh 10.




Table 1: List of all 16 mesh combinations of the 7 morphological parameters shown in Fig 1 Table 2: Maximum principal stress within a fully bonded silicon particle & Maximum hydrostatic stress at the Si-Al interface of a bonded Si particle

Table 1.png

Table 2.png



Data from table 2 shows that shape and alignment plays a significant role in fracture and debonding of the Si particles that are highly intact. Spacing between the particles becomes a significant factor in later phases when several bonds are broken in the matrix. Spacing and configuration accelerates the rate of fracture and debonding in the cluster towards saturation. Some particles are fractured in the beginning in order to study stress distribution on the neighboring particles. Fig 4, 5 and 6 represent successive phases from bonded state towards cracked and debonded state. Contours in Fig 7-12 represent several combination and phases in terms of maximum principal stresses and maximum hydrostatic stresses.


Image 4.png

Image 5.png

Image 6.png

Fig 4: The quantitative main parameter effects on (a) cracking and (b) debonding. All of the adjacent particles are bonded. Fig. 5. The quantitative main parameter effects on (a) cracking and (b) debonding. Some of the adjacent particles are bonded while others are cracked. Fig. 6. The quantitative main parameter effects on (a) cracking and (b) debonding. Some of the adjacent particles are bonded while others are deboned.
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