锅炉技术2025,Vol.56Issue(2):46-50,5.
压力管道内表面点腐蚀全聚焦相控阵成像研究与评价
Research and Evaluation of Total Focusing Phased Array Imaging for Pitting Corrosion on the Inner Surface of Pressure Pipelines
摘要
Abstract
In response to the difficulties in detecting pitting defects on the inner surface of pressure pipelines and the poor imaging accuracy,a total focusing phased array technology is used to carry out research and further discuss the impact of probe parameters on its imaging ability and probe optimization methods.The influence of the number of excitation wafers,array element width and excitation frequency of the phased array probe on the imaging is studied by CIVA simulation software.Based on the application,it is further proposed to use the fuzzy comprehensive evaluation method to quantitatively evaluate the defect imaging map from four aspects:the degree of defect morphology reduction,cost performance,measurement depth and diameter accuracy,and to assist in obtaining the best parameters of the probe.The results show that under certain conditions,the number of probe wafers and the excitation frequency are proportional to the imaging effect,the size of the array element widths is inversely proportional to the imaging effect,and the use of total focusing phased array detection method can better restore the inner surface pitting defects.The use of fuzzy comprehensive evaluation method can achieve quantitative evaluation of imaging images.The conclusions drawn from simulation and the method of combining simulation and evaluation will help improve the efficiency of probe selection as well as improving the accuracy and applicability of the selected probe,and further assist in the detection work to ensure the safe operation of pipelines.关键词
全聚焦超声相控阵/点腐蚀/CIVA仿真/缺陷响应/模糊综合评价Key words
total focusing phased array/pitting corrosion/CIVA simulation/defect response/fuzzy comprehensive evaluation分类
金属材料引用本文复制引用
徐佳敏,钱盛杰,黄焕东,陈文飞,张皓琦,孔凡玉..压力管道内表面点腐蚀全聚焦相控阵成像研究与评价[J].锅炉技术,2025,56(2):46-50,5.基金项目
浙江省市场监督管理局科研计划项目(QN2023437) (QN2023437)
宁波市重大科技任务攻关项目(2022Z165) (2022Z165)