Composite material digital intelligent laying method and system

Abstract

The invention provides a composite material digital intelligent laying method and system, including setting the laying path; constructing a fiber laying process parameter model based on imitation learning, and obtaining the actual laying path according to the laying path and the surface shape of the formed component Under the given process parameters; under the given laying path and process parameters, plan the trajectories of the collaborative manipulator and the multi-degree-of-freedom motion platform of the fiber automatic placement subsystem; Under the condition of the trajectory, control the fiber automatic placement subsystem and the intelligent sub-regional temperature control mold to lay; in the laying process, laser ultrasonic non-destructive testing is used to guide the laying of composite materials, including the layers in the process of automatic laying of composite materials Rapid detection and imaging of internal defects, and real-time adjustment of laying process parameters according to interlayer defects. The invention has strong practicability, high degree of digitization and intelligence, and can significantly improve the precision of laying implementation results.

Description

technical field [0001] The invention relates to the technical field of intelligent manufacturing, in particular to a technical solution for digital intelligent laying of composite materials. Background technique [0002] Composite materials have the advantages of light weight, high strength, fatigue resistance, and corrosion resistance. They are also suitable for the manufacture of large-scale and complex components, reducing the number of parts and the use of connectors, thereby reducing the quality of finished products and improving energy utilization. , are widely used in aerospace, automotive and shipbuilding and other fields. Composite material automatic placement technology can improve production efficiency and ensure product performance, and is widely used in the manufacturing process of composite material parts. [0003] During the automatic placement of composite parts, the fixed mold makes the movement of the robotic arm more complicated, and additional attention ...

AI Technical Summary

Problems solved by technology

However, the large amount of heat generated by EDM and laser processing will affect the surface quality, the practical application of ultrasonic vibration assisted processing is not yet mature, and the abrasive water jet will make composite materials absorb water, and there are also application limitations.

Traditional process parameter acquisition methods mostly use single factor method or response surface method to obtain certain empirical data, but a large number of experiments need to be designed, and the obtained process parameter relationship model has poor generalization ability, and it is difficult to draw it to components with similar characteristics to achieve the same laying effect

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