CIVA 시뮬레이션에 의한 철도 차륜 결함 탐상을 위한 위상배열 초음파 변환자 최적 조건 분석

초록

Maintenance of railroad and high-speed train components is essential to ensure safe transport by railways. Specifically, for high-speed trains, railway wheel defects are among the most critical maintenance issues, as they can cause train derailments, leading to loss of lives. The purpose of this study is to optimize the use of PAUT for detecting defects in rail wheels. To achieve this, 1.25 and 2.25 MHz phased-array (PA) ultrasonic transducers were tested under different scanning parameters to determine the optimal conditions for accurately scanning the rail-wheel rims. Additionally, various flat-bottomed and side-drilled holes (FBHs and SDHs, respectively) were considered as artificial defects, and simulations were performed using CIVA software to validate the performance of the developed PA ultrasonic transducers. All the artificial defects, including a 0.2-mm SDH defect between the rail rim and web, could be effectively detected using the developed PA ultrasonic transducer.

키워드