지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.10
- 수록면
- 1,618 - 1,622 (5page)
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초록· 키워드
오류제보하기
The productivity and reliability are regarded as most essential features of the automatic welding system. From practical point of view, the carriage and band system has been verified as one of most effective welding systems for pipeline laying. The productivity depends on several parameters such as a performance of the welding system, the level of operator’s skill and the reliable sensor systems.
This application-oriented paper introduces new automatic welding equipment for pipeline construction. It is based on cutting-edge design and practical welding physics to minimize downtime due to the system faults. This paper also describes the control system which was designed and implemented for the automatic welding equipment. The system has the self diagnostic function which facilitates maintenance and repairs, and has the wireless network function via which the welding task data can be transmitted and monitored. The signal processing algorithm was also developed for the narrow welding groove in order to implement higher accuracy of seam tracking and fully automatic operation.
This application-oriented paper introduces new automatic welding equipment for pipeline construction. It is based on cutting-edge design and practical welding physics to minimize downtime due to the system faults. This paper also describes the control system which was designed and implemented for the automatic welding equipment. The system has the self diagnostic function which facilitates maintenance and repairs, and has the wireless network function via which the welding task data can be transmitted and monitored. The signal processing algorithm was also developed for the narrow welding groove in order to implement higher accuracy of seam tracking and fully automatic operation.
목차
Abstract
1. INTRODUCTION
2. SYSTEM CONFIGURATION
3. SIGNAL PROCESSING AND SENSOR DEVELOPMENT
4. CONCLUSIONS
REFERENCES
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