Modelling of process parameters in cross-wire welding of S235 steel wire using Design of Experiments (CROSBI ID 724428)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Čabrijan, Ivana ; Vlatković, Maja ; Krulčić, Elvis ; Pavletić, Duško
engleski
Modelling of process parameters in cross-wire welding of S235 steel wire using Design of Experiments
Finished products such as stands, wire containers, shopping carts, grids, baskets, gratings, fencing systems, etc. are widely used in daily life. These products are manufactured by joining wires using a special welding process. In this paper, the process of making high quality welded joints using one of the most commonly used resistant welding processes, cross wire welding, is described. Before conducting experiments, it is necessary to determine the process parameters to be observed and analysed. For this purpose, Design of Experiments is used. Design of Experiments is one of the quality tools that can be used for various investigations, e.g. modelling of the process, determination of influencing factors and process parameters, process variations, etc. The aim of introducing this tool is to gain new and better knowledge and at the same time to increase the competitiveness of the company by improving the quality and reliability of the products. The welding current, time and electrode position are input parameters. The setdown and weld breaking force is an output parameter and was measured for each sample after welding. The aim of this paper is to show the influencing parameters, their correlation and the regression model to create a reversible prediction of the observed process parameters, which was verified by analysis of variance. The statistical analysis was performed using the Minitab programme, and the results show that the welding current in relation to the welding time and the position of the electrode has the greatest influence on the welding process.
Cross-wire welding ; Welding current ; Setdown ; Weld breaking force ; Electrode position ; Design of experiments ; Regression model
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Podaci o prilogu
13-20.
2022.
objavljeno
Podaci o matičnoj publikaciji
"Mechanical Technologies and Structural Materials 2022"
Jozić, Sonja ; Lela, Branimir ; Gjeldum, Nikola
Split: Hrvatsko društvo za zaštitu materijala (HDZaMa)
1847-7917
Podaci o skupu
11th International Conference Mechanical Technologies and Structural Materials (MTSM 2022)
predavanje
22.09.2022-23.09.2022
Split, Hrvatska