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
- 학술저널
- 저자정보
- 발행연도
- 2016.2
- 수록면
- 54 - 58 (5page)
이용수
초록· 키워드
오류제보하기
In this research paper, suggest method of generate same bead as an actual measurement data in virtual welding conditions, exploit morphology information of the bead that acquired through robot welding. It has many multiple risk factors to Beginners welding training, by we make possible to train welding in virtual reality, we can reduce welding training risk and welding material to exploit bead visualization algorithm that we suggest so it will be expected to achieve educational, environmental and economical effect.
The proposed method is acquire data to each case performing robot welding by set the voltage, current, working angle, process angle, speed and arc length of welding condition value. As Welding condition value is most important thing in decide bead form, we would selected one of baseline each item and then acquired metal followed another factors change. Welding type is FCAW, SMAW and TIG. When welding trainee perform the training, it’s difficult to save all of changed information into database likewise working angle, process angle, speed and arc length. So not saving data into database are applying the method to infer the form of bead using a neural network algorithm. The way of bead’s visualization is applying the spline algorithm. To accurately represent Morphological information of the bead, requires much of morphological information, so it can occur problem to save into database that is why we using the spline algorithm.
By applying the spline algorithm, it can make simplified data and generate accurate bead shape. Through the research paper, the shape of bead generated by the virtual reality was able to improve the accuracy when compared using the form of bead generated by the robot welding to using the morphological information of the bead generated through the robot welding.
By express the accurate shape of bead and so can reduce the difference of the actual welding training and virtual welding, it was confirmed that it can be performed safety and high effective virtual welding education.
The proposed method is acquire data to each case performing robot welding by set the voltage, current, working angle, process angle, speed and arc length of welding condition value. As Welding condition value is most important thing in decide bead form, we would selected one of baseline each item and then acquired metal followed another factors change. Welding type is FCAW, SMAW and TIG. When welding trainee perform the training, it’s difficult to save all of changed information into database likewise working angle, process angle, speed and arc length. So not saving data into database are applying the method to infer the form of bead using a neural network algorithm. The way of bead’s visualization is applying the spline algorithm. To accurately represent Morphological information of the bead, requires much of morphological information, so it can occur problem to save into database that is why we using the spline algorithm.
By applying the spline algorithm, it can make simplified data and generate accurate bead shape. Through the research paper, the shape of bead generated by the virtual reality was able to improve the accuracy when compared using the form of bead generated by the robot welding to using the morphological information of the bead generated through the robot welding.
By express the accurate shape of bead and so can reduce the difference of the actual welding training and virtual welding, it was confirmed that it can be performed safety and high effective virtual welding education.
목차
Abstract
1. 서론
2. 시편 촬영 및 계측
3. 뉴럴 네트워크 알고리즘뉴럴
4. 스플라인 알고리즘
5. 비드 가시화
6. 실험 및 구현 결과 분석
7. 결론
References
참고문헌 (3)
참고문헌 신청
G. Lee, U.Y. Yang, U.H. Son, Y.W. Kim, D.S. Jo, K.H. Kim, J.S. Choi, Virtual Reality Content-Based Training for Spray Painting Tasks in the Shipbuilding Industry, ETRI Jourmal, 32-5 (2010), 695-703 (in Korean)
D.S. Jo, Y.W. Kim, U.Y. Yang, G. Lee, J.S. Choi, K.H. Kim, Virtual Reality Based Welding Training Simulator, Journal of KWJS, 53 (2010), 49-49 (in Korean)
D.S. Jo, Y.W.Kim, U.Y. Yang, G.A. Lee, J.S.Choi, Visualization of Virtual Weld Beads, In Proceedings of the 2009 ACM Symposium on Virtual Reality Software and Technology, (2009), 269-270
D.S. Jo, Y.W. Kim, U.Y. Yang, G. Lee, J.S. Choi, K.H. Kim, Virtual Reality Based Welding Training Simulator, Journal of KWJS, 53 (2010), 49-49 (in Korean)
D.S. Jo, Y.W.Kim, U.Y. Yang, G.A. Lee, J.S.Choi, Visualization of Virtual Weld Beads, In Proceedings of the 2009 ACM Symposium on Virtual Reality Software and Technology, (2009), 269-270
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UCI(KEPA) : I410-ECN-0101-2016-581-002676352