A digital twin modeling method for array antenna assembly performance real-time analysis

To achieve timeliness and accuracy when conducting a performance analysis of a complex product assembly process, we consider the performance analysis of an array antenna assembly process, and investigate the measurability of the assembly process' performance. In this study, a digital twin modeling method is proposed for the assembly performance analysis of an array antenna. This method integrates finite elements, mesh model simplification, and surrogate models. To achieve real-time prediction and rapid visualization of the assembly performance of the assembly process, a mesh simplification algorithm for a finite element mesh model based on edge collapse is proposed and a Gaussian process regression surrogate model for product assembly performance is constructed to complete the construction of a digital twin model for assembly performance analysis. Finally, the proposed method is verified by an example of the assembly performance analysis of a typical array antenna. Results show that the digital twin model proposed achieves a high response speed and fidelity in the analysis of assembly performance and provides a valuable reference to application of digital twin technology in product assembly processes.