실시간 표면거칠기 예측을 위한 RBF 기반 예측모델에 관한 연구
(주)코리아스칼라
- 최초 등록일
- 2023.08.28
- 최종 저작일
- 2023.06
- 7페이지/ 어도비 PDF
- 가격 4,000원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 한국기계기술학회
ㆍ수록지정보 : 한국기계기술학회지 / 25권 / 3호
ㆍ저자명 : 이충우, 정준영, 김인주, 김지선
영어 초록
The cutting process, which is a key processing technology in various industrial fields is achieving continuous growth, and the demand for high-quality cutting surfaces is continuously demanded. Plasma cutting continues to be studied for its excellent workability and productivity, but problems with cutting surface quality such as dross formation occur, so research to secure excellent cutting surface quality through appropriate control of process variables is essential. In this study, we propose a method for predicting surface roughness using real-time current and cutting speed data obtained while performing plasma cutting on A106 B steel pipe. Surface roughness was predicted based on the RBF algorithm applicable to prediction and control models. It was shown that the surface roughness of the plasma cutting surface can be predicted with the arc current waveform and process speed data. This study can be used as a basic study to control the surface roughness of the cut surface in real time.
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