Solid-state processing techniques, such as friction extrusion (FE), friction stir welding (FSW), and friction surfacing (FS), are advanced methods used for processing Al alloys. These techniques leverage frictional heat and intense mechanical deformation to induce microstructural changes without reaching the melting point. This study focuses on Al-Cu-Li alloys, which are widely used in the aerospace industry due to their outstanding strength-to-weight ratio and superior mechanical properties. The extreme stress and strain conditions inherent to these processes make it challenging to directly observe microstructural transformations, highlighting the need for numerical modeling to simulate microstructural evolution and optimize processing parameters. Different dynamic recrystallization (DRX) mechanisms occur during FE, FS, and FSW, which depend on various parameters like the initial microstructure, stacking fault energy of the alloy and the specific processing conditions. To explore these phenomena, this study introduces a fully coupled computational framework that integrates the multiphase-field (MPF) method with a crystal plasticity (CP) model. The MPF method simulates nucleation and grain boundary migration, while the CP model captures anisotropic mechanical behavior, including strain hardening, lattice rotation, and texture evolution. A Fast Fourier Transform (FFT)-based finite-strain elasticity solver is used to enhance computational efficiency. This integrated open-phase framework establishes a direct connection between microstructural evolution and macroscopic mechanical responses. The results provide a detailed understanding of how processing conditions, microstructural changes, and material performance interplay in polycrystalline Al alloys during solid-state processing.