碳纤维复合材料构件缺陷脉冲涡流成像与图像分析的基础理论和关键技术研究

项目名称： 碳纤维复合材料构件缺陷脉冲涡流成像与图像分析的基础理论和关键技术研究

项目编号： No.51465024

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 机械、仪表工业

项目作者： 叶波

作者单位： 昆明理工大学

项目金额： 52万元

中文摘要： 准确检测和定量评估碳纤维复合材料构件缺陷和损伤，确保其完整、可靠、安全是许多重要领域急需解决的具有基础性、关键性和先导性的极具挑战的前沿问题。围绕病态反问题的先验统计模型及非线性优化、优质快速成像、图像分析与缺陷智能识别及定量化评估关键科学问题，主要研究内容是：①建立由碳纤维复合材料构件缺陷脉冲涡流成像与图像分析先验统计模型导引的新的非线性优化算法，为实现检测信息的优质快速处理提供理论基础；②开发TMR 阵列探头，研究优质快速的碳纤维复合材料构件缺陷脉冲涡流成像方法，以提供高质量的图像信息；③研究碳纤维复合材料构件缺陷脉冲涡流图像分析与缺陷智能识别及定量化评估方法，实现缺陷的精确定量评估；④构建原理样机，完成新理论和方法的原理性验证和工程适用性评估。最终形成完整的碳纤维复合材料构件缺陷脉冲涡流成像与图像分析的基础理论和关键技术，推动涡流检测理论和技术发展，促进碳纤维复合材料的研发及应用。

中文关键词： 无损检测；脉冲涡流检测；碳纤维复合材料构件；缺陷识别；图像分析

英文摘要： Accurate detection and quantitative evaluation of defects and damages in carbon-fiber reinforced composite material structures is an essential and crucial frontier issue in a range of technological applications, such as maintaining the integrity, enhancing the safety, and assuring the reliability of structures. The scientific key problems are the prior statistical model of ill-posed inverse problems, nonlinear optimization algorithms, high quality and fast imaging, image analysis, defect intelligent identification and quantitative evaluation. The main research contents are as follows: ① constructing the new nonlinear optimization algorithms guided by the prior statistical model of pulsed eddy current imaging and image analysis for detecting defects in carbon-fiber reinforced composite material structures, for providing the theoretical basis for the realization of high quality and fast processing the detection information; ② developing TMR array probe, and researching on the high quality and fast pulsed eddy current imaging for detecting defects in carbon-fiber reinforced composite material structures, for providing high quality image information; ③ researching on pulsed eddy current image analysis and defect intelligent identification and quantitative evaluation for carbon-fiber reinforced composite material structures, for completing accurately quantitative evaluation of defects; ④ constructing the prototype for validating the novel theories and methods and evaluating the engineering suitability. Finally, currently urgent need theories and technologies of pulsed eddy current imaging and image analysis for detecting defects in carbon-fiber reinforced composite material structures are established. It will promote the theories and technologies development of eddy current testing. The study and application of carbon-fiber reinforced composite materials are also accelerated.

英文关键词： Nondestructive testing;Pulsed eddy current testing;Carbon-fiber reinforced composite material structures;Defect detection;Image Analysis