To address the complexity of simulation procedures for composite curing deformation analysis using Abaqus， a Python-based auxiliary plugin was developed to standardize pre-processing operations and enhance the intuitiveness and efficiency of simulation setup. This plugin was subsequently employed to conduct curing simulation analysis on an L-shaped composite structure， with comparative validation against experimental data. Results demonstrate that the integrated plugin features a concise interface and operational effectiveness， establishing a valid finite element model. The simulation outcomes exhibit good agreement with experimental measurements， showing an average error of 4.83%. Furthermore， the model was utilized to investigate the influence of cooling rates on curing deformation. It was revealed that increasing cooling rates （0.3， 0.6， and 1℃/min） progressively improved the forming accuracy of composite structures. This study provides a valuable reference for rapid prediction of curing deformation distribution patterns in diverse composite structural components.