Optimization of Resistance Spot Welding (RSW) Parameters by using Taguchi Method
Nor Atirah Mat Yasin1, Anizahyati Alisibramulisi2, Zuraidah Salleh3, Farizah Adliza Ghazali4, Anuar Pawan5
1Nor Atirah Mat Yasin, Department, Infra Engineer, Malaysia Rail Link Sdn Bhd, Kuala Lumpur, Wilayah Persekutuan, Malaysia.
2Anizahyati Alisibramulisi*, Faculty of Civil Engineering and Institute for Infrastructure Engineering and Sustainable Management (IIESM), University Technology MARA (UiTM), Shah Alam, Selangor, Malaysia.
3Zuraidah Salleh, Faculty, Kejuruteraan Mekanikal, University Technology MARA (UiTM), Shah Alam, Selangor, Malaysia.
4Farizah Adliza Ghazali, Fabrication & Joining Section, University Kuala Lumpur Kampus Cawangan Malaysia France Institute (MFI), Bandar Baru Bangi, Selangor, Malaysia.
5Anuar Pawan, Department, Mechanical Engineering, University of Wollongong, Australia.
Manuscript received on December 16, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 2795-2800 | Volume-9 Issue-3, January 2020. | Retrieval Number: C9215019320/2020©BEIESP | DOI: 10.35940/ijitee.C9215.019320
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This study was intended to optimize the resistance Spot Welding Parameters (RSW) of sheet metals joints. The variation parameters selected were electrode force, welding current and welding time of 1.2 mm thickness low carbon steel. The settings of process parameters were conducted according to the L9 Taguchi orthogonal array in randomized way. The optimum process parameter was then obtained by using signal to noise ratio and analyzed further on the significant level by using Analysis of Variance (ANOVA). The developed response has been found well fitted and can be effectively used for tensile shear strength prediction. The optimum parameters achieved were electrode force (2.3 kN), welding time (10 cycles) and welding current (8 kA). Based on the ANOVA, it was found that the electrode force is a vital parameter in controlling the tensile shear strength as compared to welding time and welding current.
Keywords: Optimization, Resistance Spot Welding (RSW), Taguchi Method, ANOVA.
Scope of the Article: Design Optimization of Structures