GMA 용접공정에서 공정변수 선정을 위한 민감도 분석에 관한 연구

As the quality of a weld joint is strongly influenced by process parameters during the welding process, an intelligent algorithms that can predict the bead geometry and shape to accomplish the desired mechanical properties of the weldment should be developed. This paper focuses on the development of...

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Veröffentlicht in:한국생산제조학회지 2008, 17(5), , pp.30-35
Hauptverfasser: 김일수(Ill Soo Kim), 심지연(Ji Yeon Shim), 김인주(In Ju Kim), 김학형(Hak Hyoung Kim)
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Sprache:kor
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Zusammenfassung:As the quality of a weld joint is strongly influenced by process parameters during the welding process, an intelligent algorithms that can predict the bead geometry and shape to accomplish the desired mechanical properties of the weldment should be developed. This paper focuses on the development of mathematical models for the selection of process parameters and the prediction of bead geometry(bead width, bead height and penetration) in robotic GMA(Gas Metal Arc) welding. Factorial design can be employed as a guide for optimization of process parameters. Three factors were incorporated into the factorial model: arc current, welding voltage and welding speed. A sensitivity analysis has been conducted and compared the relative impact of three process parameters on bead geometry in order to verify the measurement errors on the values of the uncertainty in estimated parameters. The results obtained show that developed mathematical models can be applied to estimate the effectiveness of process parameters for a given bead geometry, and a change of process parameters affects the bead width and bead height more strongly than penetration relatively KCI Citation Count: 1
ISSN:2508-5093
2508-5107