Friction Stir Welding (FSW) is a new and a very effective solid-state joining technique invented in TWI in Cambridge, England in 1991 for joining aluminum alloys  . The welding process majorly encompasses a non-dispensable rotating tool with a design comprising a pin and a shoulder that travels along the longitudinal length of the weld seam and join the work pieces  . The properties of the welded metal zone usually have low distortion because of lower welding temperature and higher joint strength when compared to the welded metals from conventional welding methods. Hence, this method eliminates the need for gas shielding requirement and joint edge preparations before welding application. Over the years and after decades of research, the technique has proved to be a versatile method in the academia which is energy efficient, environment-friendly and avoids the formation of solidification, cracking and porosity.
Aluminum Alloy 6061-T6 is widely utilized in the construction of aerospace structures, such as wings and fuselages in commercial aircrafts, several parts of a remote-controlled model aircraft and helicopter rotor components. AA6061-T6 has also its wide applications in the automotive industry such as parts like chassis and engine parts. In these past few years in these industries, there is an ongoing effort to reduce the weight of aluminum alloy in assemblies of parts which use conventional methods of welding with filler materials. FSW is presently able to weld several aluminum alloys from various ranges of series bolstering the fact that it was contemplated to be non-weld able alloys due to a vast decrease in the strength of the joint in contrast with the base metal. Several researchers have tried to explore this field of industry requirement. Liu et al.  joined AA6061-T6 alloy using FSW in butt configuration where the hardness value and the grain size decreased in the weld zone when compared to the base metal. Rathinasuriyan et al.  carried out FSW in submerged condition and identified the defect-free samples using radiography technique. Sankar et al.  have studied the mechanical properties on AZ31B Mg alloy by FSP in air, under water and under liquid nitrogen.
Various riveted joints in aircraft structures have mostly been substituted by friction stir welded lap joints where one must understand that riveted joints were the major method of joining aerospace structures since its manufacturing began  . Rivet holes are notoriously known for probable junctures of crack and corrosion propagation. Resistance spot welding (RSW) is also a major choice in welding for various economic reasons such as the omission of fasteners that point considerable weight and cost savings  . However, Dubourg et al.  investigated the lap joints of aluminum alloys of AA2024-T3 and AA7075-T6 using FSW where the welded joint is stronger than the comparable riveted or resistance spot welded lap joints for the major aluminium alloys. Al-Si and Mg-Al-Zn alloys were lap joined using friction stir welding by Chen and Nakata  where the stirring pin is plunged into the lower metal to produce a bonding mechanism of mechanical mixing that enhances bonding strength and the lower welding speed avoids cracks and improves the joint strength. Later on, Cao et al.  made lap joints on AZ31B-H24 magnesium alloy and A2198-T4 aluminum alloy using an FSW process where the fracture occurred at the heat affected zone of the base metal. They have achieved the highest bonding strength close to the base metal while lap joining 1060 aluminium alloy and commercially pure copper   .
The predominant problems that aerospace and automotive industries generally face in metal welding processes are poor weld quality and strength of the weld. This is due to improper selection of parameters which have a significant influence on the strength of the weld that affects the quality and the strength of the bond formation. Ashok Kumar et al.  considered axial load as one of the process parameters while optimizing the parameters for maximum tensile strength. Lokesh et al.  optimized the process parameters for SFSW using the Taguchi technique in order to get maximum hardness. Rathinasuriyan et al.  developed a mathematical model to optimize the parameters using response surface methodology while conducting submerged FSW process.
From the viewpoint of application in the industry after much study, it would be more significant to optimize parameters of the Friction Stir Lap Welding (FSLW) for maximum mechanical properties of the joints. However, due to limited work on this area. In this study shows the optimization of process parameters such as rotational speed (rpm), axial load (kN) and welding speed (mm/min) for friction stir lap welding (FSLW) of 6061-T6 aluminium alloy.
2. Experimental and Testing Details
2.1. Experimental Setup
The base metal (BM) used for the experiment is commercially available AA6061-T6 alloy which is 300 mm in length, 300 mm in width and 3 mm in thickness. The chemical compositions and mechanical properties are listed in Table 1 and Table 2.
A cylindrical tool with 18 mm shoulder diameter, 6 mm pin diameter and 5 mm pin length, made up of H13 tool steel is used. The tool used is shown in Figure 1.
To make a lap joint, the work pieces were lapped together and clamped on the backing plate of FSW machine and the rotating tool was brought in contact with the top surface of work pieces. The tool was made to travel along the length of the junction where the two sheets met where a metallic bond was formed. The
Table 1.Chemical composition of AA6061-T6 (in weight %).
Table 2.Mechanical properties of AA6061-T6.
Figure 1. FSLW tool (a) Schematic view, (b) Photographic view.
pin was slowly plunged into the work pieces till the tool shoulder comes in contact with the work piece and there were a mechanical interaction and velocity difference between the rotating tool and work piece where heat was produced by frictional work and material deformation. Lap welds were made in the longitudinal direction of the welding samples. The welded sample is shown in Figure 2.
The rotational speed, welding speed, and axial load were considered to be variables for the optimization of FSLW process. The parameters and its levels are shown in Table 3.
2.2. Lap-Shear (Tension-Shear) Tests
Lap-shear (tension-shear) tests were carried out as per ANSI/AWS/SAE/D8.9-97  on a universal testing machine. Figure 3 shows a typical lap-shear test specimen with is dimensions produced using friction stir lap welding. After welding, the joints were cross-sectioned perpendicular to the welding direction for tensile shear strength tests. The work pieces were polished to 1 µm finish.
For tensile property evaluation, lap shear tests were carried out covering the entire weld length. All tests were conducted on Instron 5500R testing machine as shown in Figure 4, at a constant cross head displacement rate of 5 mm/min.
The maximum load and failure location were recorded for each specimen. Tensile tests were carried out at room temperature at a crosshead speed of 1 mm/min. The welded area was located in the center of the tensile specimen. Figure 5(a) and Figure 5(b) show the FSW and shear tested samples. There would be numerous experiments that need to be carried out when there is a large number of parameters.
In order to solve this, the Taguchi Method helps to specifically design an orthogonal array survey and research the complete range of parameters with a small number of investigations. An L-9 orthogonal array with three levels and three factors was computed and implemented for conducting trials, as shown in Table 4.
Figure 2. Welded sample.
Figure 3. Lap-shear test specimen.
Figure 4. Tensile shear test machine along the entire weld length.
Table 3.Process parameters range and their levels.
Figure 5. (a) FSW samples, (b) Shear tested samples.
Table 4. L-9 Orthogonal array with response.
3. Results and Discussions
3.1. Signal to Noise (S/N) Ratio
In Taguchi method, the term “signal” indicates the desired value for the output characteristics and the “noise” indicates the undesirable value that signifies the output characteristics. The objective of the signal-to-noise ratio is to develop processes that are insensitive to noise. Process parameter setting with highest S/N ratio always yields the optimum quality with minimum variance. In general, signal-to-noise ratio signifies the ratio of mean to the standard deviation  . The quality of the welded joints is investigated by considering shear strength as the main characteristic feature. The S/N ratio and means for each of the process parameters were calculated to find the influence of process parameters on the response (shear strength). In this current work, the S/N ratio was chosen according to the proposition of “the larger-the-better” characteristics that indicate its robustness according to  .
where n is the number of the repetitions and Ti is the value of the shear strength of the test on that trail. The average response of S/N ratio and experimental data for each combination of the process parameters are given in Table 5 and Table 6.
3.2. Analysis of Variance
Analysis of variance (ANOVA) is a mathematical technique developed by Sir Ronald Fisher, which breaks the total variation down into accounted sources and delivers a way to interpret the results from actual experiments  . The test was performed to identify the statistically significant process parameters  . This analysis was carried out for a level of significance of 5%, i.e. for 95% confidence level. The ANOVA results of S/N ratio and means for shear strength are given in Table 7 and Table 8 respectively.
Table 5. Average response table for mean.
Table 6.Average response table for S/N ratio.
(*Levels 1, 2 and 3 in Table 5 and 6 indicate that low, medium and high).
Table 7. ANOVA of means for shear strength.
Table 8.ANOVA of means for S/N ratio.
Statistically, there is a tool called an F-Test named to find the design parameters that have a significant effect on the quality characteristic. Usually, when F > 4, it means that the specific design parameter accounts for a significant effect on the quality attributes  . Hence, the rotational speed and the welding speed have the important impact on the quality attributes of the metal and the axial load is less significant. The contribution of the tool pin profile, rotational speed, and welding speed is shown in Figure 6. The most important factor that influenced the FSLW process was the tool rotational speed with a contribution rate of 51% while the percentage of error is 3%. The Figure 7 shows two graphs, each of which represents main effects plot for Means and S/N ratio. Based on the highest values of the S/N ratio and Mean values, the overall optimum process parameters for shear strength are A3, B2, and C3.
The theoretical shear strength value for the optimum process parameters has been calculated from the following equation  .
Tm is the mean response or means S/N ratio, T0 is the mean response or mean S/N ratio at an optimal level and n is the number of design attributes that have an impact and affect the quality of the properties. Substituting the values in Equation (2), the predicted tensile strength is 61.358 MPa. The shear strength value for the optimum level of process parameters was 63.08 MPa.
In this investigation, the Friction Stir Lap Welding of AA6061-T6 alloy was carried out successfully. The results can be summarized as follows:
• The parameters affecting friction stir lap welding while joining AA6061-T6 alloy were studied. It is observed that rotational speed and welding speed have a revealing effect on shear strength.
• The percentage of contribution of FSLW process parameters was evaluated using ANOVA and found that the rotational speed, welding speed, and axial load contribute 51%, 38%, and 8% respectively.
• The optimum parameter combinations such as the rotational speed of 1200 rpm, welding speed of 45 mm/min and the axial load of 11.5 kN provided a shear strength of 63.08 MPa.
Figure 6. Percentage contribution of process parameters.
Figure 7. Main effects plot: (a) S/N ratio, (b) Means.
5. Scope and Future Work
Further investigations on the microstructure examined using Optical Microscopy (OM) and Scanning Electron Microscopy during friction stir lap welding for AA6061-T6 aluminum alloys at different conditions and for different process parameters might be very beneficial.
 Liu, G., Murr, L.E., Niou, C.S., McClure, J.C. and Vega, F.R. (1997) Microstructural Aspects of the Friction-Stir Welding of 6061-T6 Aluminum. Scripta Materialia, 37, 355-361.
 Rathinasuriyan, C., Kumar, V.S. and Shanbhag, A.G. (2014) Radiography and Corrosion Analysis of Sub-Merged Friction Stir Welding of AA6061-T6 Alloy. Procedia Engineering, 97, 810-818.
 Sankar, R., Rathinasuriyan, C. and Senthil Kumar, V.S. (2017) Effect of Cooling Conditions on Mechanical and Microstructural Behaviours of Friction Stir Processed AZ31B Mg Alloy. Modern Mechanical Engineering, 7, 144-160.
 Dubourg, L., Merati, A. and Jahazi, M. (2010) Process Optimisation and Mechanical Properties of Friction Stir Lap Welds of 7075-T6 Stringers on 2024-T3 Skin. Materials & Design, 31, 3324-3330.
 Cao, X. and Jahazi, M. (2011) Effect of Tool Rotational Speed and Probe Length on Lap Joint Quality of a Friction Stir Welded Magnesium Alloy. Materials & Design, 32, 1-11.
 Saeid, T., Abdollah-Zadeh, A. and Sazgari, B. (2010) Weldability and Mechanical Properties of Dissimilar Aluminum-Copper Lap Joints Made by Friction Stir Welding. Journal of Alloys and Compounds, 490, 652-655.
 Abdollah-Zadeh, A., Saeid, T. and Sazgari, B. (2008) Microstructural and Mechanical Properties of Friction Stir Welded Aluminum/Copper Lap Joints. Journal of alloys and Compounds, 460, 535-538.
 Kumar, B.A. and Murugan, N. (2014) Optimization of Friction Stir Welding Process Parameters to Maximize Tensile Strength of Stir Cast AA6061-T6/AlNp Composite. Materials & Design, 57, 383-393.
 Lokesh, R., Kumar, V.S.S., Rathinasuriyan, C. and Sankar, R. (2015) Optimization of Process Parameters Tool Pin Profile, Rotational Speed and Welding Speed for Submerged Friction Stir Welding of AA6063 Alloy. International Journal of Technical and Research Applications, 12, 35-38.
 Rathinasuriyan, C. and Kumar, V.S. (2016) Modelling and Optimization of Submerged Friction Stir Welding Parameters for AA6061-T6 Alloy Using RSM. Metallic Materials, 54, 297-304.
 Babu, S., Sankar, V.S., Ram, G.J., Venkitakrishnan, P.V., Reddy, G.M. and Rao, K.P. (2013) Microstructures and Mechanical Properties of Friction Stir Spot Welded Aluminum Alloy AA2014. Journal of Materials Engineering and Performance, 22, 71-84.
 Fonda, R.W. and Bingert, J.F. (2004) Microstructural Evolution in the Heat-Affected Zone of a Friction Stir Weld. Metallurgical and Materials Transactions A, 35, 1487-1499.
 Elangovan, S., Prakasan, K. and Jaiganesh, V. (2010) Optimization of Ultrasonic Welding Parameters for Copper to Copper Joints Using Design of Experiments. The International Journal of Advanced Manufacturing Technology, 51, 163-171.
 Bozkurt, Y. (2012) The Optimization of Friction Stir Welding Process Parameters to Achieve Maximum Tensile Strength in Polyethylene Sheets. Materials & Design, 35, 440-445.
 Yang, W.P. and Tarng, Y.S. (1998) Design Optimization of Cutting Parameters for Turning Operations Based on the Taguchi Method. Journal of Materials Processing Technology, 84, 122-129.