製品
Homogenization analysis of composite resin with oriented fiber
Introducing the example of creep homogenization analysis on the composite material that consists of a resin which has the creep characteristics and fiber that is an elastic body and oriented at ±30°. In addition, identifying the material properties value of the anisotropic creep using optimization based on the material test data of these.
Analysis Model
- Numerical material test with constant load performed on micro-model shown in Figure 1 and obtaining creep material characteristics in three uniaxial directions and three pure shear directions respectively.
- Performing identification of anisotropic creep material property value using optimization based on this material test data.
Analysis Results
Material Test Results
Figure 2 shows the creep material characteristics of six directions obtained in the numerical material test. You can see the state which has the "anisotropy" that characteristics are different in all directions. Also, looking at Figure 2 which shows the analysis results of d) xy direction pure shear test, it does not show the creep characteristics compared to the other directions since the fibers oriented in the in-plane direction are mainly responsible for the load. In CMAS, these complex behaviors of heterogeneous materials can be observed conveniently in a virtual environment without relying on actual costly tests.
Identification results
These are the identification results of anisotropic creep material properties based on the behavior of the numerical material testing which is calculated above. Figure 3 is a graph showing the convergence history of the error function that is minimized in the optimization algorithm. In this case, we define the difference between the response of the material constitutive law and material test results as the error function. You can achieve good convergence tendency without having special skills in CMAS since it has adopted Particle Swarm Optimization (PSO) and it is not necessary to specify the fitting parameters.
Figure 4 shows the convergence history of the material property value (Hill constant).
You can see that along with the increase in the optimized iterations, values converge on a certain constant material
property value.
Figure 5 shows a comparison of material test data and identification results.
You can verify the validity of the fitting results by comparing the two.
Analysis Types
Structural Analysis、 Mutiscale Analysis、 Homogenization Analysis
関連情報
関連する解析事例
MORE関連する資料ダウンロード
MORE-
冷間鍛造解析による事前可視化
~Ansys LS-DYNAによるソリューション~
-
切削熱を伴う切削加工解析
~Ansys LS-DYNAによるヘルスケア分野ソリューション~
-
動脈硬化による血管内部の状態可視化
~Ansys LS-DYNAによるヘルスケア分野ソリューション~
-
SDGsとカーボンニュートラル実現へ向けた CFDによる水素バーナの燃焼解析
CFDによる水素バーナの燃焼解析
-
シリコンウェハ汚染予測ソリューション
-
~解析精度向上につながる~ 適切な材料特性の選定・取得ソリューション
-
【全記事】CAEのあるものづくり vol.41
ユーザー様インタビュー記事4件のほか、解析事例・製品紹介などの記事を1冊に集約した保存版
-
CMP(化学機械研磨)マクロスラリー 挙動解析ソリューション
回転パッド上のマクロスラリー挙動の解析ソリューション