多激励下复合材料深层缺陷红外无损检测技术研究

Composite materials are widely used in high-tech industries, such as aerospace and industrial manufacture. Due to the fast and non-contact technique, infrared thermography NDT has become a visual inspection method for detecting defects in composite materials. It is necessary for infrared thermography NDT to break through the bottleneck of low detection efficiency with deferent response of multi-stimulation in types of composite structures.In this project, the composite structures with deep defects are investigated. In order to solve the problem of the uncertainty of thermal physical parameters, a multi-parameter model of composite structure is designed using multi- stimulation; In this project, the composite structures with deep defects are investigated. In order to solve the problem of the uncertainty of thermal physical parameters, a multi-parameter model of composite structure is designed using multi- stimulation; Simulations and experimental studies are provided to verify the accuracy of the thermal conductivity model. The NDT platform is built to verify optimized parameters and detect defects in composite materials prepared in advance. The results of this project will provide a new theoretical basis for the research of composite with deep defects infrared NDT in the engineering.

复合材料在航空航天、工业制造等高科技领域得到广泛的应用，红外无损检测技术由于其快速、非接触的特点成为复合材料缺陷大范围可视化检测手段。复合材料种类多、对不同激励方式响应程度不同，导致检测效率低是红外无损检测技术需要突破的研究瓶颈。本项目以含有深层缺陷的复合材料构件为研究对象，拟通过多种激励方式混合对构件进行加热，设计一种结合激励特性的复合材料微波红外检测模型，解决热物性参数不确定问题；拟通过自适应模拟退火算法，解决多参数模型全局优化问题；拟采用仿真分析和实验研究对热传导模型准确性进行验证，通过制作预埋缺陷试件与构建的红外检测平台，对优化后的参数进行验证，实现复合材料深层缺陷的准确检测，为工程中复合材料深层缺陷红外无损检测研究提供新的理论依据。

本项目采用理论分析、数值仿真、实验研究等方法，研究多激励下复合材料加热原理、参数优化方法、复合材料结构与激励特性参数的热传导模型、缺陷特征提取与实验参数评估方法、缺陷分割技术以及缺陷定量化评估。在红外检测模型上，突破传统一维模型在缺陷深度上估计误差的限制，采用多维模型估计缺陷深度；在分析激励特性的基础上研究热传导参量信息，对比多激励方式的优缺点；对实验获取的红外检测图像进行分析处理，提出更准确的缺陷评估方法，为复合材料深层缺陷红外无损检测研究提供直观和高效手段。