Digital intelligent laying method and system for composite material

Abstract

The invention provides a digital intelligent laying method and system for a composite material. The method comprises the steps that a laying path is set; a fiber laying process parameter model based on imitation learning is constructed, and process parameters under an actual laying path are obtained according to the laying path and the surface shape of a forming component; tracks of cooperative mechanical arms and a multi-degree-of-freedom motion platform of an automatic fiber laying subsystem are planned under the given laying path and process parameter conditions; under the condition of theobtained tracks of the cooperative mechanical arms and the multi-degree-of-freedom motion platform, the automatic fiber laying subsystem and an intelligent regional temperature control mold are controlled for laying; and in the laying process, laser ultrasonic nondestructive testing is adopted to guide laying of the composite material, including rapid detection and imaging of intra-layer defects in the automatic laying process of the composite material and real-time adjustment of the laying process parameters according to inter-layer defects. The laying method and system are high in practicability and high in digitization and intelligence degree, and the precision of the laying implementation result can be remarkably improved.

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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