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KERD
논문KCI 등재

용접 불량 검사를 위한 음향공진 검사 장치 개발

Development of Acoustic Resonance Evaluation System to Detect the Welding Defects

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주제분류공학일반

초록

We have developed an acoustic resonance inspection system to inspect the welding defects in the mechanical parts fabricatedusing friction stir welding method. The inspection system was consisted of a DAQ board, a microphone sensor, an impact hammer, and controlled by a PC software. The system was developed to collect and analyze the sound signal generated by hitting the sample with an impact hammer to determine whether it is defective. In this study, 100% welded good samples were compared with 95%, 90%, and 85% welded samples, respectively. The variation of the completeness in welding did not affect the visual appearance in the samples. As a result of analyzing the natural frequencies of the good samples, the five natural frequency peaks were identified. In the case of the defective samples, the frequency change was observed. The welding failuredetection time was fast enough to be only 0.7 seconds. Employing our welding defect inspection system to the actual industrialfield will maximize the efficiency of quality inspection and thus improve the productivity.

Abstract

We have developed an acoustic resonance inspection system to inspect the welding defects in the mechanical parts fabricatedusing friction stir welding method. The inspection system was consisted of a DAQ board, a microphone sensor, an impact hammer, and controlled by a PC software. The system was developed to collect and analyze the sound signal generated by hitting the sample with an impact hammer to determine whether it is defective. In this study, 100% welded good samples were compared with 95%, 90%, and 85% welded samples, respectively. The variation of the completeness in welding did not affect the visual appearance in the samples. As a result of analyzing the natural frequencies of the good samples, the five natural frequency peaks were identified. In the case of the defective samples, the frequency change was observed. The welding failuredetection time was fast enough to be only 0.7 seconds. Employing our welding defect inspection system to the actual industrialfield will maximize the efficiency of quality inspection and thus improve the productivity.

참고문헌 (8)

  1. 김영식, "마찰교반 점용접(FSSW)을 이용한 비철금속 접합기술의 연구 동향과 전망", 대한용접접합학회지, 30(3), pp.202~212 (2012), 대한용접접합학회[DOI]
  2. E. -G. Kim, "A Study on Technology for Automatic Inspection of Welding Faulty of Vessel’s Parts", J. Korean Soc. Ind. Converg, 17(4), pp.255~264 (2014)
  3. S. W. Son, "Study of Defect Detection for Ultrasonic Welding using Pattern Recognition", Proc. Korean Soc. Manuf. Technol. Eng., pp.112~112 (2017)
  4. H. Woo, "Development of fault signal detection system for ultrasonic welding process", Proc. Inst. Electron. Inf. Eng., pp.621~624 (2017)
  5. 김태형, "자동차 차체 제조 공정에서 용접 공정 오류 검출을 위한 지능형 모니터링 시스템 개발", 대한용접접합학회지, 28(4), pp.81~86 (2010), 대한용접접합학회
  6. 윤승호, "축방향 미소결함 검출을 위한 자기누설 비파괴 검사 방법에 관한 연구", 한국자기학회지, 21(1), pp.23~31 (2011), 한국자기학회
  7. S. Jeong, "Inspection technology of crack of crankshaft using Eddy Current Testing", Proc. Korean Soc. Automot. Eng., pp.2889~2892 (2010)
  8. 오창근, "부분구조 모드합성법에 의한 주파수응답함수 산출법", 한국마린엔지니어링학회지, 39(4), pp.393~398 (2015), 한국마린엔지니어링학회[DOI]

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