소성가공

1. Hardening

1.1. strain hardening depicted in phenomonlogical plasticity

1.2. strain hardening described in crystal plasticity framework.

\[\dot{\boldsymbol\varepsilon}^{pl}=\dot\gamma_0\sum_s\boldsymbol m^s\bigg(\frac{|\boldsymbol m^s : \boldsymbol \sigma|}{\tau_c}\bigg)^n \text{sgn}(\boldsymbol m^s : \boldsymbol \sigma)\] \[\tau_c\equiv\tau_c\bigg(\sum_s\int_0^{t}\dot\gamma^s dt\bigg)\]

2. Anisotropy

2.1. Hill’s yield criterion

\[\sigma^{Hill} = \sqrt{F(\sigma_{22}-\sigma_{33})^2+G(\sigma_{33}-\sigma_{11})^2+H(\sigma_{11}-\sigma_{22})^2+2L\sigma_{23}^2+2M\sigma_{13}^2+2N\sigma_{12}^2}\] \[\sigma^{Hill}-\sigma^Y=0 \text{ : yield criterion}\] \[\sigma^{Hill}-\sigma^Y<0 \text{ : pure elastic behavior}\]

2.2. Barlat’s yield criterion

\[f(\tilde{\boldsymbol s})=\sigma^Y\]

where $\tilde{\boldsymbol s}$ is a transformed stress tensor, via a linear mapping of the cauchy stress tensor:

\[\tilde{\boldsymbol s}=\boldsymbol L : \boldsymbol\sigma\]

One can then use the same form of Hosford yield function such that:

\[f(\boldsymbol\sigma)=(|s_1 - s_2|^a+|s_2 - s_3|^a+|s_1 - s_3|^a)^{1/a}\]

so that

\[(|s_1 - s_2|^a+|s_2 - s_3|^a+|s_1 - s_3|^a)^{1/a} = \sigma^Y : \text{yield criterion}\] \[(|s_1 - s_2|^a+|s_2 - s_3|^a+|s_1 - s_3|^a)^{1/a} < \sigma^Y : \text{elastic behavior}\]

3. Slip system & crystal orientation

전위 슬립계가 simple shear 변형을 받아드리면서 lattice 회전이 발생할 수 있다. 이는 집합조직 발달로 이어진다.

4. 평균장 다결정 소성 모델

\[\dot{\boldsymbol\varepsilon}^{pl}=\dot\gamma_0\sum_s\boldsymbol m^s\bigg(\frac{|\boldsymbol m^s : \boldsymbol \sigma|}{\tau_c}\bigg)^n \text{sgn}(\boldsymbol m^s : \boldsymbol \sigma)\] \[\dot{\boldsymbol\varepsilon}^{pl}=\dot\gamma_0\sum_s\boldsymbol m^s\bigg(\frac{|\boldsymbol m^s : \boldsymbol \sigma|}{\tau_c}\bigg)^{n-1} \bigg(\frac{|\boldsymbol m^s : \boldsymbol \sigma|}{\tau_c}\bigg)\text{sgn}(\boldsymbol m^s : \boldsymbol \sigma) \newline =\dot\gamma_0\sum_s\boldsymbol m^s\bigg(\frac{|\boldsymbol m^s : \boldsymbol \sigma|}{\tau_c}\bigg)^{n-1} \bigg(\frac{\boldsymbol m^s : \boldsymbol \sigma}{\tau_c}\bigg) \newline =\dot\gamma_0\sum_s\frac{\boldsymbol m^s\otimes m^s}{\tau_c}\bigg(\frac{|\boldsymbol m^s : \boldsymbol \sigma|}{\tau_c}\bigg)^{n-1} \bigg(\frac{\boldsymbol m^s : \boldsymbol \sigma}{\tau_c}\bigg)\]