Wyniki wyszukiwania - BazTech

Ograniczanie wyników

1 Archives of Materials Science and Engineering

1 2008

Znaleziono wyników: 1

Liczba wyników na stronie

Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Control of welding process for BV-AH 32 steel

Kim H. H., Kim I. S., Kim I. J., Kang B. Y.

Archives of Materials Science and Engineering

2008

Vol. 33, nr 1

45-48

Purpose: The GMA welding process involves large number of interdependent variables, which may affect product quality, productivity and cost effectiveness. With the combination of sensors and mathematical models, increased effectiveness in control of the automatic welding process was achieved. In this study, it focuses on development of mathematical models for the selection of process parameters using BV-AH32 steel for shipbuilding industry. Design/methodology/approach: The base material used for this study was the BV-AH32 steel with 12 mm in thickness for multi-pass butt welding. A curvilinear regression analysis was performed with the predictors that were found to be statistically significant against bead geometry based on the results from the above factorial design. The adequacy of the models and the significance of coefficients were tested by applying the analysis of variance technique and T-test respectively. Findings: From the above resultant equation for estimation of bead geometry, the sensitivity equations are obtained by differentiation with respect to process parameters of interest such as arc current, welding voltage and welding speed that are explored. Practical implications: Sensitivity analysis has been investigated to represent the effectiveness of the processing parameters on these empirical equations and showed that the change of process parameters affects the bead width and bead height more strongly than penetration relatively. Originality/value: These models are extended to shielding gas composition, weld joint position, polarity and many other parameters which are not included in this research in order to establish a closed loop feedback control system to minimize possible errors from uncontrolled variations.