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      광 삼각법 측정 알고리즘을 이용한 자동차 도어 간격 측정 및 보정에 관한 연구 = A study on measurement and compensation of automobile door gap using optical triangulation algorithm

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      https://www.riss.kr/link?id=A106824517

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      다국어 초록 (Multilingual Abstract)

      In general, auto parts production assembly line is assembled and produced by automatic mounting by an automated robot. In such a production site, quality problems such as misalignment of parts (doors, trunks, roofs, etc.) to be assembled with the vehicle body or collision between assembly robots and components are often caused. In order to solve such a problem, the quality of parts is manually inspected by using mechanical jig devices outside the automated production line. Automotive inspection technology is the most commonly used field of vision, which includes surface inspection such as mounting hole spacing and defect detection, body panel dents and bends. It is used for guiding, providing location information to the robot controller to adjust the robot's path to improve process productivity and manufacturing flexibility. The most difficult weighing and measuring technology is to calibrate the surface analysis and position and characteristics between parts by storing images of the part to be measured that enters the camera's field of view mounted on the side or top of the part. The problem of the machine vision device applied to the automobile production line is that the lighting conditions inside the factory are severely changed due to various weather changes such as morning-evening, rainy days and sunny days through the exterior window of the assembly production plant. In addition, since the material of the vehicle body parts is a steel sheet, the reflection of light is very severe, which causes a problem in that the quality of the captured image is greatly changed even with a small light change. In this study, the distance between the car body and the door part and the door are acquired by the measuring device combining the laser slit light source and the LED pattern light source. The result is transferred to the joint robot for assembling parts at the optimum position between parts, and the assembly is done at the optimal position by changing the angle and step.
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      In general, auto parts production assembly line is assembled and produced by automatic mounting by an automated robot. In such a production site, quality problems such as misalignment of parts (doors, trunks, roofs, etc.) to be assembled with the vehi...

      In general, auto parts production assembly line is assembled and produced by automatic mounting by an automated robot. In such a production site, quality problems such as misalignment of parts (doors, trunks, roofs, etc.) to be assembled with the vehicle body or collision between assembly robots and components are often caused. In order to solve such a problem, the quality of parts is manually inspected by using mechanical jig devices outside the automated production line. Automotive inspection technology is the most commonly used field of vision, which includes surface inspection such as mounting hole spacing and defect detection, body panel dents and bends. It is used for guiding, providing location information to the robot controller to adjust the robot's path to improve process productivity and manufacturing flexibility. The most difficult weighing and measuring technology is to calibrate the surface analysis and position and characteristics between parts by storing images of the part to be measured that enters the camera's field of view mounted on the side or top of the part. The problem of the machine vision device applied to the automobile production line is that the lighting conditions inside the factory are severely changed due to various weather changes such as morning-evening, rainy days and sunny days through the exterior window of the assembly production plant. In addition, since the material of the vehicle body parts is a steel sheet, the reflection of light is very severe, which causes a problem in that the quality of the captured image is greatly changed even with a small light change. In this study, the distance between the car body and the door part and the door are acquired by the measuring device combining the laser slit light source and the LED pattern light source. The result is transferred to the joint robot for assembling parts at the optimum position between parts, and the assembly is done at the optimal position by changing the angle and step.

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      참고문헌 (Reference)

      1 Costa, Manuel F., "Surface inspection by an optical triangulation method" 35 (35): 1996

      2 Söderberg, Rikard, "Stability and seam variation analysis for automotive body design" 13 (13): 173-187, 2002

      3 Zou, Tong, "Reliability analysis of automotive body-door subsystem" 78 (78): 315-324, 2002

      4 Hecht, Kurt., "Integrating LED illumination system for machine vision systems"

      5 Golnabi, H., "Design and application of industrial machine vision systems" 23 (23): 630-637, 2007

      6 Kosmopoulos, Dimitrios, "Automated inspection of gaps on the automobile production line through stereo vision and specular reflection" 46 (46): 49-63, 2001

      7 Kumar, Sanjeev, "An optical triangulation method for non-contact profile measurement" IEEE 2006

      1 Costa, Manuel F., "Surface inspection by an optical triangulation method" 35 (35): 1996

      2 Söderberg, Rikard, "Stability and seam variation analysis for automotive body design" 13 (13): 173-187, 2002

      3 Zou, Tong, "Reliability analysis of automotive body-door subsystem" 78 (78): 315-324, 2002

      4 Hecht, Kurt., "Integrating LED illumination system for machine vision systems"

      5 Golnabi, H., "Design and application of industrial machine vision systems" 23 (23): 630-637, 2007

      6 Kosmopoulos, Dimitrios, "Automated inspection of gaps on the automobile production line through stereo vision and specular reflection" 46 (46): 49-63, 2001

      7 Kumar, Sanjeev, "An optical triangulation method for non-contact profile measurement" IEEE 2006

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 계속평가 신청대상 (계속평가)
      2022-03-24 학술지명변경 한글명 : 한국금형공학회지 -> Design & Manufacturing
      외국어명 : Journal of the Korea Society of Die & Mould Engineering -> Design & Manufacturing
      KCI등재후보
      2021-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      2020-12-01 평가 등재후보 탈락 (계속평가)
      2018-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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