Investigation of product quality monitoring in the compression molding process of carbon fibre reinforced composite laminates

In the realm of compression molding of Carbon Fibre Reinforced Composite (CFRC) laminates, pivotal technological challenges related to product quality monitoring are addressed in this study, a multi-source information fusion method based on monitoring feedback is proposed. The study begins with the design of a control system, alongside the establishment of its software and hardware architecture, all of which are rooted in the production line's composition, its processes, and the overarching manufacturing workflow. This paves the way for the refinement and optimization of reliability assessment methods, specifically tailored for monitoring factors and characteristics with functionalization at their core. Then, a higher-order shear deformation theory (HSDT) is proposed based on Iso-Geometric Analysis (IGA), and the static bending, free vibration, and buckling behaviours of CFRC laminates are scrutinized. The narrative culminates under the influence of fluctuating temperature conditions, where the proposed methodology's performance and precision are rigorously validated through an extensive suite of numerical examples. A comparative analysis with theoretical results gleaned from existing literatures yields a harmonious consistency, underscoring the robustness of the approach. The research results of this paper provide theoretical support for the quality analysis of carbon fiber reinforced composite molding process.

Compression molding; Carbon Fibre Reinforced Composite (CFRC) laminates; Multi-source information fusion; Higher-Order Shear Deformation Theory (HSDT); Product quality monitoring