Statistical analysis of the effect of welding parameters on the tensile strength of titanium reinforced mild steel joints using taguchi's DoE

Timothy Odiaka, Stephen A. Akinlabi*, Nkosinathi Madushele, Olawale S. Fatoba, Surnir Hassan, Esther T. Akinlabi

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)

Abstract

Gas Metal Arc Welding (GMAW) is one of the most widely used metal fusion welding processes in the industry. This is largely due to its relatively high quality, ease of use, affordability and suitability for joining many metals including mild steel. By Incorporating Taguchi's Design of Experiment to GMAW processes, high-quality response optimized welds can be obtained. The effect of welding parameters on the tensile strength of titanium-reinforced mild steel welds are investigated in this study. Using Taguchi's L4 Orthogonal arrays for experimental design, GMAW was carried out on reinforced butt and lap welded mild steel. The parameters of interest were welding voltage, welding current and titanium powder reinforcement. Taguchi's signal-to-noise ratios were calculated to obtain optimum welding parameters for tensile strength. Analysis of Variance (ANOVA) was used to determine any statistically significant welding parameter. The optimum parameters obtained for the reinforced butt welds were found to be 24 V, 130A and Ti 6-2-2-2-2 alloy. For the lap joints, the optimum parameters were found to be 26 V, 215A and Ti 6-2-2-2-2 alloy. However, ANOVA results indicate that none of the selected parameters were individually significant for both the butt and lap joints. This could be attributed to the small size of the orthogonal array used for this process of optimisation.

Original languageEnglish
Pages (from-to)1202-1206
Number of pages5
JournalMaterials Today: Proceedings
Volume44
Issue number1
Early online date24 Dec 2020
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event11th International Conference on Materials Processing and Characterization - Indore, India
Duration: 15 Dec 202017 Dec 2020

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