压力容器2026,Vol.43Issue(3):78-86,9.DOI:10.3969/j.issn.1001-4837.2026.03.008
基于电感耦合的超声监测数据传输设计研究
Research on data transmission design for ultrasonic monitoring based on inductive coupling
摘要
Abstract
To address the difficulty in accurately obtaining electrical parameters of key components for the inductive coupling wireless ultrasonic monitoring systems,the accuracy of existing coil inductance calculation methods and piezoelectric transducer impedance modeling techniques were compared.Taking planar spiral coils as the research objects,the filament method,area integral method,and finite element simulation were used to calculate self-inductance and mutual inductance,with results compared against experimental values.A finite element model of the piezoelectric transducer and workpiece coupling system was established to obtain the impedance spectrum,which was compared with experimental values.The component parameters were incorporated into a three-coil coupling circuit model to construct an monitoring system and conduct thickness inspection verification.The results indicate that the filament method is suitable for self-inductance calculation,with a self-inductance calculation error of less than 3%.The area integral method is appropriate for mutual inductance calculation,with a mutual inductance calculation error of less than 5%within a lift-off distance range of 2 to 10 mm.The finite element simulation accurately predicts the resonant frequency of the piezoelectric transducer.The constructed monitoring system successfully achieveds thickness detection.This study provides methodological references and experimental basis for component selection and parameter design in inductive coupling wireless ultrasonic inspection systems.关键词
电感耦合/无线超声检测/阻抗谱/电感计算Key words
inductive coupling/wireless ultrasonic inspection/impedance spectrum/inductance calculation分类
机械制造引用本文复制引用
吉田,程经纬,王哲,虞耀,蔡涛,鲁凯超,马书豪..基于电感耦合的超声监测数据传输设计研究[J].压力容器,2026,43(3):78-86,9.基金项目
国家重点研发计划项目(2024YFC3013700) (2024YFC3013700)
合肥通用机械研究院有限公司青年科技基金项目(2024011173) (2024011173)
中国机械工业集团有限公司科研专项(ZDZX2024-22) (ZDZX2024-22)
国家重点攻关项目(2023ZY01001) (2023ZY01001)