大型锻件中缺陷超声阵列检测与识别关键技术研究

项目名称： 大型锻件中缺陷超声阵列检测与识别关键技术研究

项目编号： No.11272017

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 数理科学和化学

项目作者： 焦敬品

作者单位： 北京工业大学

项目金额： 86万元

中文摘要： 针对大型锻件结构尺寸大，形状复杂，通常为粗大晶粒结构，生产制造过程中易产生白点、裂纹等危害性极大缺陷，以及大型锻件应用场景的极端重要性，本项目立足于发展大型锻件超声阵列无损评价方法，突破缺陷感知和识别关键技术，优化设计换能器阵列，提出阵列全场、定量缺陷成像识别新方法。主要研究内容包括：1）在考虑衰减情况下，研究大型锻件中阵列声场分布特性及与缺陷作用机理，揭示衰减对锻件中超声波幅度和相位的影响规律；2）建立换能器阵列结构、检测参数与合成声场特征指标的多维优化模型，对阵列结构与检测参数进行优化设计，研制大型锻件检测专用换能器阵列；3）在考虑衰减的情况下，研究阵列检测信号全场聚焦成像和缺陷识别技术，实现大型锻件中复杂缺陷的全场、定量辨识，为提高我国高端大型锻件的制造能力提供强有力的质量评价体系。

中文关键词： 大型锻件；超声阵列；缺陷识别；散射系数；矢量全聚焦

英文摘要： Toward the unusual characteristic of big forging, such as big size, complex shape, coarse grain arrangement, white flake and crack defect-prone, and application field extreme important, an ultrasonic array technology for non-destructive testing of large forging is developed in the project. By break the restriction in defect sensing and characteristic, an optimized ultrasonic array is produced, and a signal processing method for defect tracking lens and quantitative identification is developed. The main contents include, 1) considered the attenuation, investigate the distribution of array-produced ultrasonic field in large forging and interaction between the ultrasonic wave and defects, reveal the relationship between the attenuation and distortion of signal in amplitude and phase; 2) construct the multi-dimension optimization model among inspection and structure parameters of array and feature index of synthetic ultrasonic field, optimize the array, and produce the array suit for large forging; 3) considered the attenuation, develop the signal processing method to focusing the defects in whole field and identification the defects in quantity. The research provides a powerful quality evaluation system for large forging and helps to improve the manufacture capability of complex forging.

英文关键词： Forging；ultrasonic array；defect characterization；Scattering coefficient；vector total focusing