실시간 표면거칠기 예측을 위한 RBF 기반 예측모델에 관한 연구
A Study on RBF-Based Prediction Model for Real-Time Surface Roughness Prediction
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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.
Abstract
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.
참고문헌 (16)
- 김정태, "플라즈마 절단면 특성이 서브머지드 아크용접 용락 현상에 미치는 영향에 관한 연구", 한국마린엔지니어링학회지, 37(6), pp.589~595 (2013), 한국마린엔지니어링학회[DOI]
- 이충우, "플라즈마 절단공정에서 ELM을 이용한 품질 예측 모델에 관한 연구", 대한기계학회논문집 A, 45(11), pp.961~967 (2021), 대한기계학회
- 김환태, "고품질 플라즈마 절단 및 레이저 절단기술", 대한용접접합학회지, 35(2), pp.30~34 (2017), 대한용접접합학회[DOI]
- 김성일, "선박용 Al 합금의 레이저 절단시 표면 특성에 관한 연구", 한국생산제조학회지, 18(5), pp.529~535 (2009), 한국생산제조학회
- 이충우, "Elman 신경망을 이용한 절단면 표면거칠기 예측에 관한 연구", 대한기계학회논문집 A, 45(7), pp.567~572 (2021), 대한기계학회
- K. W. Um, "A Study on the Plasma Arc Cutting Phenomena of Plate Materials", Journal of Welding and Joining, 9(4), pp.69~74 (1991)
- J. M. Ku, "A Study of an Automatic Tip-to-Workpiece Distance Control System for Plasma Arc Cutting", Journal of the Korean Society for Precision Engineering, 17(7), pp.132~140 (2000)
- N. Denica, "ANFIS Estimation of Optimal Parameters for Dross Formation in Plasma Arc Cutting Process", Journal of Advances in Engineering Software, 173(1) (2022)
- M. H. Kim, "A Study on the Cutting Surfaces in Plasma Cutting of Ship Thick Plate", Proc. of The Korean Society of Manufacturing Technology Engineers Conference, pp.573~574 (2011)
- H. G. Kim, "Characteristics of Plasma Cut Surfaces", Proc. of Korean Society for Precision Engineering Conference, pp.1052~1056 (1999)
- 김은태, "RBF 신경회로망을 이용한 교류 동기 모터의 강인 속도 제어", 전자공학회논문지 - SC, 40(7), pp.19~26 (2003), 대한전자공학회
- 김현우, "오차를 기반으로한 RBF 신경회로망 적응 백스테핑 제어기 설계", 한국정밀공학회지, 34(2), pp.125~131 (2017), 한국정밀공학회
- V. Stepanyan, "Robust Adaptive Observer Design for Uncertain Systems with Bounded Disturbances", IEEE Transactions on Neural Networks, 18(5), pp.1392~1403 (2007)
- Y. Li, "Robust and Adaptive Backstepping Control for Nonlinear Systems Using RBF Neural Networks", IEEE Transactions on Neural Networks, 15(3), pp.693~701 (2004)
- W. Chen, "Adaptive Backstepping Dynamic Surface Control for Systems with Periodic Disturbances Using Neural Networks", IET Control Theory and Applications, 3(10), pp.1383~1394 (2009)
- 이충우, "플라즈마 조건에 따른 절단면의 표면거칠기 특성 분석", 한국기계기술학회지, 25(2), pp.142~147 (2023), 한국기계기술학회[DOI]