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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.
Wydawca
Rocznik
Tom
Strony
45--48
Opis fizyczny
Bibliogr. 9 poz.
Twórcy
autor
autor
autor
autor
- Department of Mechanical Engineering, Mokpo National University 61, Dorim-ri, Chungkye-myun, Muan-gun, Jeollanam-do, 534-729, Korea, ilsookim@mokpo.ac.kr
Bibliografia
- [1] R.S. Chandel, S.R. Bala, Effect of welding parameters and groove Angle on the soundness of root beads deposited by the SAW Process, Proceedings of the 1st International Conference “Trends in Welding Research” TWR’86, Gatlinburg, 1986, 379-385.
- [2] G.E. Cook, Through-the-are sensing for arc welding, Proceedings of the 10th Conference “Production Research and Technology”, Detroit, March, 1983, 141-151.
- [3] R.J. Remwick, R.W. Richardson, Experimental investigation of GTA weld pool oscillation, Welding Journal 62/2 (1983) 29-5.
- [4] J.A. Johnson, N.M. Carlson, J.B. Smartt, Detection of metal transfer mode in GMAW, Recent Trends in Welding Science and Technology, Proceedings of the 2nd International Conference “Trends in Welding Research” TWR'89, Gatlinburg, 1989, 337-181.
- [5] P.M. Gonseth, P. Blanc, Optiguide - A new optical joint tracking device, Welding Journal 62/9 (1983) 27-29.
- [6] R.J. Salter, R.T. Deam, A practical front face penetration control system for TIG welding, Proceedings of the Conference “Developments in Automated and Robotic Welding”, Cambridge, 1987, 38/1-12.
- [7] W.H. Chen, P. Banjerjee, B.A. Chin, Study of penetration variations in automated gas tungsten arc welding, Recent Trends in Welding Science and Technology, Proceedings of the 2nd International Conference “Trends in Welding Research” TWR'89, Gatlinburg, 1989, 517-522.
- [8] S. Nagarajan, W.H. Chen, B.A. Chin, Infrared sensing for adaptive arc welding, Welding Journal 68/11 (1989) 462-466.
- [9] D.E. Hardt, J.M Katz, Ultrasonic measurement of weld penetration, Welding Journal 63/9 (1984) 273-81.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL7-0033-0007