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Optimization of CNC-FSSW parameters for dissimilar spot welding of AA6061 aluminium alloy and mild steel using Taguchi based desirability function approach
The dissimilar welding of aluminium (Al) alloy to mild steel (MS) carries significant importance in automotive applications to reduce the weight of components and cost without compromising on the strength. The computer numerically controlled (CNC) welding machines offer the flexibility and desired accuracy to develop the welds compared to conventional manually operated welding machines. The fusion-based joining of dissimilar aluminium alloy and mild steel is challenging owing to the metallurgical incompatibility and differences in physical and mechanical properties. Hence, in the presented work, a CNC friction stir spot welding (CNC-FSSW) machine was used to make the Al/MS spot welds for automotive applications. The CNC-FSSW parameters were optimized using Taguchi based desirability function approach (DFA) to obtain greater tensile shear fracture load (TSFL) bearing property of spot joints. The Minitab software was used to design the L9 orthogonal array experimental design matrix. The Al/MS joints when fabricated using the DFA optimized FSSW parameters involving tool rotational speed—TRS of 1200 rpm, tool plunging rate—TPR of 14 mm/min, dwell time—DT of 5 s and tool diameter ration—TDR of 2 exhibited the higher TSFL and WNH of 3.78 kN and 144 HV respectively. The joints made using DFA optimized FSSW parameters showed 18.12% and 20% improvement in TSFL and WNH of Al/MS joints. The most significant FSSW parameter influencing the composite desirability was observed to be TRS (rpm) followed by TPR (mm/min), TDR and DT (s).
Optimization of CNC-FSSW parameters for dissimilar spot welding of AA6061 aluminium alloy and mild steel using Taguchi based desirability function approach
The dissimilar welding of aluminium (Al) alloy to mild steel (MS) carries significant importance in automotive applications to reduce the weight of components and cost without compromising on the strength. The computer numerically controlled (CNC) welding machines offer the flexibility and desired accuracy to develop the welds compared to conventional manually operated welding machines. The fusion-based joining of dissimilar aluminium alloy and mild steel is challenging owing to the metallurgical incompatibility and differences in physical and mechanical properties. Hence, in the presented work, a CNC friction stir spot welding (CNC-FSSW) machine was used to make the Al/MS spot welds for automotive applications. The CNC-FSSW parameters were optimized using Taguchi based desirability function approach (DFA) to obtain greater tensile shear fracture load (TSFL) bearing property of spot joints. The Minitab software was used to design the L9 orthogonal array experimental design matrix. The Al/MS joints when fabricated using the DFA optimized FSSW parameters involving tool rotational speed—TRS of 1200 rpm, tool plunging rate—TPR of 14 mm/min, dwell time—DT of 5 s and tool diameter ration—TDR of 2 exhibited the higher TSFL and WNH of 3.78 kN and 144 HV respectively. The joints made using DFA optimized FSSW parameters showed 18.12% and 20% improvement in TSFL and WNH of Al/MS joints. The most significant FSSW parameter influencing the composite desirability was observed to be TRS (rpm) followed by TPR (mm/min), TDR and DT (s).
Optimization of CNC-FSSW parameters for dissimilar spot welding of AA6061 aluminium alloy and mild steel using Taguchi based desirability function approach
Int J Interact Des Manuf
Nathan, Seerangan Ragu (Autor:in) / Rajendran, Chinnasamy (Autor:in) / Sonar, Tushar (Autor:in) / Ivanov, Mikhail (Autor:in) / Balasubramanian, Kaliyaperumal (Autor:in) / Ramanathapuram Anandan, Hari Baalaaji (Autor:in) / Sankaravadivelu, Subbiah (Autor:in) / Karu, Clement Varaprasad (Autor:in)
01.01.2025
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Dissimilar welding , AA6061-T6 alloy , Mild steel , Friction stir spot welding Engineering , Materials Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
British Library Online Contents | 2013
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