Journal of Welding and Joining

  • 제34권2호
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  • Pages.59-66
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  • 2016
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  • 2466-2232(pISSN)
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  • 2466-2100(eISSN)
대한용접접합학회 (The Korean Welding and Joining Society)
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용접선 추적을 위한 최적화 알고리즘 개발에 관한 연구

A Study on Development of the Optimization Algorithms to Find the Seam Tracking

  • 진병주 (목포대학교 공과대학 기계공학과) ;
  • 이종표 (목포대학교 공과대학 기계공학과) ;
  • 박민호 (목포대학교 공과대학 기계공학과) ;
  • 김도형 (목포대학교 공과대학 기계공학과) ;
  • 우치엔치엔 (목포대학교 공과대학 기계공학과) ;
  • 김일수 (목포대학교 공과대학 기계공학과) ;
  • 손준식 (중소조선연구원)
  • Jin, Byeong-Ju (Dept. of Machanical Engineering, Mokpo National University) ;
  • Lee, Jong-Pyo (Dept. of Machanical Engineering, Mokpo National University) ;
  • Park, Min-Ho (Dept. of Machanical Engineering, Mokpo National University) ;
  • Kim, Do-Hyeong (Dept. of Machanical Engineering, Mokpo National University) ;
  • Wu, Qian-Qian (Dept. of Machanical Engineering, Mokpo National University) ;
  • Kim, Il-Soo (Dept. of Machanical Engineering, Mokpo National University) ;
  • Son, Joon-Sik (Research Institute of Medium & Small Shipbuilding)
  • 투고 : 2015.09.22
  • 심사 : 2016.02.02
  • 발행 : 2016.04.30
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초록

The Gas Metal Arc(GMA) welding, called Metal Inert Gas(MIG) welding, has been an important component in manufacturing industries. A key technology for robotic welding processes is seam tracking system, which is critical to improve the welding quality and welding capacities. The objectives of this study were to develop the intelligent and cost-effective algorithms for image processing in GMA welding which based on the laser vision sensor. Welding images were captured from the CCD camera and then processed by the proposed algorithm to track the weld joint location. The proposed algorithms that commonly used at the present stage were verified and compared to obtain the optimal one for each step in image processing. Finally, validity of the proposed algorithms was examined by using weld seam images obtained with different welding environments for image processing. The results proved that the proposed algorithm was quite excellent in getting rid of the variable noises to extract the feature points and centerline for seam tracking in GMA welding and could be employed for general industrial application.

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참고문헌

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