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Tool Trajectory Optimization of Spray Painting Robot for Many-Times Spray Painting

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  • 발행기관
    보안공학연구지원센터(IJCA) 바로가기
  • 간행물
    International Journal of Control and Automation SCOPUS 바로가기
  • 통권
    Vol.7 No.8 (2014.08)바로가기
  • 페이지
    pp.193-208
  • 저자
    Yong Zeng, Jun Gong, Ning Xu, Nailing Wu
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A230112

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원문정보

초록

영어
Spray gun trajectory optimization of spray painting robot is highly desirable for today’s automotive manufacturing. Sometimes, the way of many-times spray painting is used to meet the technological requirements. In this paper, a new spray gun trajectory optimization method of many-times spray painting for the plane has been developed after complex surface partitioned. Based on the spray gun trajectory optimization of one-time spray painting, the method utilizes the coating thickness superposition cycle and status number to establish the coating thickness superposition model for many-times spray painting and to optimize the spray gun trajectory of many-times spray painting. The number and cycle of coating thickness superposition status are developed to modeling the coating thickness distribution model for many-times spray painting. The coating thickness deviation from the required coating thickness is optimized by modifying the offset distance between the subsequent spray gun trajectory and the first spray gun trajectory. The results of simulations have shown that the spray gun trajectory optimization of many-times spray painting achieves satisfactory performance, the coating thickness uniformity satisfy high standard requirement.

목차

Abstract
 1. Introduction
 2. Spray Gun Trajectory Optimization for one Time Spray Painting
  2.1. The Paint Gun Model
  2.2. Surface Partition and Spray Gun Trajectory Generation
  2.3. Parameters Optimization of Spray Gun Trajectory
 3. Spray Gun Trajectory Optimization for Many-Times Spray Painting
  3.1. The Coating Thickness Superposition Cycle
  3.2. The Number of Coating Thickness Superposition Status
  3.3. The Coating Thickness Superposition of Many Times Spray Painting
  3.4. Spray Gun Trajectory Optimization of Two Times Spray Painting for Constant Parameters
  3.5. Spray Gun Trajectory Optimization of Two Times Spray Painting for Variable Parameters
  3.6. Spray Gun Trajectory Optimization of Many Times Spray Painting
 4. Simulation and Analysis
  4.1. Simulation for One Time and Two Times Spray Painting
  4.2. Simulation for Variable Two Times Spray Painting
  4.3. Simulations of Constant Three Times Spray Painting
 5. Conclusions
 Acknowledgements
 References

키워드

spray painting robot many-times spray painting trajectory optimization thickness uniformity simulation

저자

  • Yong Zeng [ School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng, 224051, China ]
  • Jun Gong [ School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou, 730050, China ]
  • Ning Xu [ Key Laboratory for Advanced Technology in Environmental Protection of Jiangsu Province, Yancheng Institute of Technology, Yancheng, 224051, China ]
  • Nailing Wu [ School of Mechanical Engineering, Yancheng Institute of Technology, Yancheng, 224051, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Control and Automation
  • 간기
    월간
  • pISSN
    2005-4297
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.8

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