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초록
Wide use of robotic machines for welding has necessitated the development of optimization techniques to achieve complete automation. The objective of the present study is to develop multiple regression model for quantitatively estimating the severity of the short circuit in pulse gas metal arc welding (GMAW-P) of aluminum, based on experimental results. The model results were found to be in good agreement with the experimental data and yielded satisfactory results.
키워드
Pulse gas metal arc welding; Pulsing parameters; Short circuit severity; Waveform factors; Aluminum; Gas welding; Regression analysis; Timing circuits; Model results; Multiple regression model; Optimization techniques; Pulse gas metal arc welding; Pulsing parameters; Severity model; Waveform factor; Gas metal arc welding
- 제목
- Short circuit severity model for pulse gas metal arc welding of aluminum
- 저자
- Praveen, P.; Yarlagadda, Prasad K. D. V.; Kang, Mun Jin; Rhee, Se Hun
- 발행일
- 2008-06
- 유형
- Conference Paper
- 권
- 580-582
- 페이지
- 451 ~ 454