Abstract

The texture for AA2024 alloy is a predominant factor in the control of Fatigue Crack Propagation (FCP) behavior, and this texture feature can be well simulated using Crystal Plasticity (CP) methodology. Besides, Cyclic Cohesive Zone Model (CCZM) possesses the higher reliability than Cohesive Zone Model (CZM) in simulating FCP behavior because of its consideration of damage evolution law. In this work, CP is first integrated with CCZM to predict FCP behavior of AA2024 alloy under texture control. To decrease time-consuming, an acceleration strategy is also tactfully implemented into this coupled CP-CCZM under XFEM framework, as an attempt to faster and accurately predict the texture influence on FCP behavior. FCP and Electron Back Scattered Diffraction (EBSD) experiments are also carried out to provide a reference for checking the reliability and accuracy of this model. It is found that this coupled methodology shows a strong capability and robustness in simulating FCP behavior under texture control. This coupled methodology is then utilized to simulate three typical FCP features induced by sole strong Goss, Cube and Brass textures, and the corresponding FCP behaviors are comparatively analyzed in details.

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