Automated and non-contact inspection using airborne ultrasonic transducer arrays

使用机载超声波换能器阵列进行自动非接触式检查

• 批准号: RGPIN-2018-05407
• 负责人: Quaegebeur, Nicolas
• 金额: $ 2.33万
• 依托单位: Université de Sherbrooke
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=713665
• 关键词: Automated; non; contact; inspection; using

The main objective of this research program is to develop new strategies for non-contact characterization and inspection of complex structures using air-coupled ultrasound transducers. Generation and measurement of ultrasound waves in air using single element transducers is well mastered for range detection and Non-Destructive Testing (NDT). However, due to the complex alignment process, applications are still limited to non-contact inspection of simple configurations such as plates or shells. To overcome this limitation, multi-elements transducer strategies will be investigated in this research. In the past decade, multi-element Micro-ElectroMechanical Systems (MEMS) have been proposed for distributed or focalized generation and measurement of ultrasound waves. However, the reduction of transducer footprint was prioritized for portability, such that power requirements, frequency range, and transducer arrangements are currently not adapted for NDT or medical imaging of realistic structures. For this reason, in order to achieve acceptance of the air-coupled inspection method in this field, a major breakthrough has to be made on the following requirements: detection performance, conformation to complex geometries, and process automatization. To address these issues, an integrated approach for non-contact surface mapping and inner structure inspection has to be developed. This is why the proposed research program is organized along three distinct research thrusts: design sparse array of air-coupled transducers, propose automated methods for surrounding object detection, and develop advanced imaging algorithms for inner structure characterization. The novelty resides in the use of sparse transducer arrays in combination with advanced array processing methods in order to retrieve indications on the surrounding objects and their inner structure. Targeted applications include complex environment characterization for automated vehicles (drones, autonomous cars), passive acoustic detection for predictive maintenance of structures (bearing or contact monitoring, leak detection, fatigue testing), but more specifically automated and non-contact inspection of civil or aerospace structures (composite assemblies, concrete slabs). The proposed research program will address for the first time the challenges associated with the use of air-coupled inspection methods for complex structures: surface irregularities, inhomogeneous medium, local curvature. The demonstration of such method will open new avenues for automated inspection in both industrial (aerospace, civil engineering) or even biomedical (non-contact imaging for automated interventions) domains, that might decrease diagnostics time in both NDT and medical procedures, while limiting the human intervention that may impair the prognostics.

该研究计划的主要目标是开发新的战略，非接触表征和检测的复杂结构，使用空气耦合超声换能器。使用单元件换能器在空气中产生和测量超声波，可以很好地进行范围检测和无损检测（NDT）。然而，由于复杂的对准过程，应用仍然限于简单配置（如板或壳）的非接触式检测。为了克服这一局限性，多元素传感器的策略将在这项研究中进行调查。 在过去的十年中，多元件微机电系统（MEMS）已被提出用于超声波的分布或聚焦产生和测量。然而，传感器占用面积的减少优先考虑便携性，使得功率要求、频率范围和传感器布置目前不适于真实结构的NDT或医学成像。 因此，为了实现该领域对空气耦合检测方法的认可，必须在以下要求上取得重大突破：检测性能，复杂几何形状的顺应性和过程自动化。 为了解决这些问题，非接触表面映射和内部结构检测的综合方法必须开发。这就是为什么拟议的研究计划是沿着沿着三个不同的研究方向组织的：设计稀疏阵列的空气耦合传感器，提出自动化的周围物体检测方法，并开发先进的成像算法的内部结构表征。新奇在于使用稀疏换能器阵列结合先进的阵列处理方法，以检索周围物体及其内部结构的指示。 目标应用包括自动化车辆（无人机、自动汽车）的复杂环境表征、用于结构预测性维护的被动声学检测（轴承或接触监测、泄漏检测、疲劳测试），但更具体地说，是民用或航空航天结构（复合材料组件、混凝土板）的自动化和非接触式检测。 拟议的研究计划将首次解决与复杂结构使用空气耦合检测方法相关的挑战：表面不规则性，不均匀介质，局部曲率。这种方法的演示将为工业（航空航天，土木工程）甚至生物医学（用于自动干预的非接触式成像）领域的自动化检测开辟新的途径，这可能会减少NDT和医疗程序的诊断时间，同时限制可能损害自动化的人为干预。