Optimization of friction stir welding process parameters for AA6063-ETP copper using central composite design

2020 ◽  
Vol 17 (4) ◽  
pp. 491-507 ◽  
Author(s):  
Nitin Panaskar ◽  
Ravi Prakash Terkar
Keyword(s):  
Experimental Data ◽  
Tensile Strength ◽  
Friction Stir Welding ◽  
Process Parameters ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Tool Rotational Speed ◽  
Content Type ◽  
Friction Stir ◽  
Central Composite

Purpose Recently, several studies have been performed on lap welding of aluminum and copper using friction stir welding (FSW). The formation of intermetallic compounds at the weld interface hampers the weld quality. The use of an intermediate layer of a compatible material during welding reduces the formation of intermetallic compounds. The purpose of this paper is to optimize the FSW process parameters for AA6063-ETP copper weld, using a compatible zinc intermediate filler metal. Design/methodology/approach In the present study, a three-level, three-factor central composite design (CCD) has been used to determine the effect of various process parameters, namely, tool rotational speed, tool traverse speed and thickness of inter-filler zinc foil on ultimate tensile strength of the weld. A total of 60 experimental data were fitted in the CCD. The experiments were performed with tool rotational speeds of 1,000, 1,200 and 1,400 rpm each of them with tool traverse speeds of 5, 10 and 15 mm/min. A zinc inter-filler foil of 0.2 and 0.4 mm was also used. The macrograph of the weld surface under different process parameters and the tensile strength of the weld have been investigated. Findings The feasibility of joining 3 mm thick AA6063-ETP copper using zinc inter-filler is established. The regression analysis showed a good fit of the experimental data to the second-order polynomial model with a coefficient of determination (R2) value of 0.9759 and model F-value of 240.33. A good agreement between the prediction model and experimental findings validates the reliability of the developed model. The tool rotational speed, tool traverse speed and thickness of inter-filler zinc foil significantly affected the tensile strength of the weld. The optimal conditions found for the weld were, rotational speed of 1,212.83 rpm and traverse speed of 9.63 mm/min and zinc foil thickness is 0.157 mm; by using optimized values, ultimate tensile strength of 122.87 MPa was achieved, from the desirability function. Originality/value Aluminium and copper sheets could be joined feasibly using a zinc inter-filler. The maximum tensile strength of joints formed by inter-filler (122.87 MPa) was significantly better as compared to those without using inter-filler (83.78 MPa). The optimum process parameters to achieve maximum tensile strength were found by CCD.

Prediction of mechanical properties and optimization of process parameters in friction-stir-welded dissimilar aluminium alloys

2020 ◽  
Vol 17 (4) ◽  
pp. 519-526 ◽  
Author(s):  
Senthilnathan T. ◽  
Sujay Aadithya B. ◽  
Balachandar K.
Keyword(s):  
Experimental Data ◽  
Mechanical Properties ◽  
Tensile Strength ◽  
Process Parameters ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Tool Rotational Speed ◽  
Content Type ◽  
Friction Stir ◽  
Grey Relational

Purpose This study aims to predict the mechanical properties such as equivalent tensile strength and micro-hardness of friction-stir-welded dissimilar aluminium alloy plates AA 6063-O and AA 2014-T6, using artificial neural network (ANN). Design/methodology/approach The ANN model used for the experiment was developed through back propagation algorithm. The input parameter of the model consisted of tool rotational speed and weld-traverse speed whereas the output of the model consisted of mechanical properties (tensile strength and hardness) of the joint formed by friction-stir welding (FSW) process. The ANN was trained for 60% of the experimental data. In addition, the impact of the process parameters (tool rotational speed and weld-traverse speed) on the mechanical properties of the joint was determined by Taguchi Grey relational analysis. Findings Subsequently, testing and validation of the ANN were done using experimental data, which were not used for training the network. From the experiment, it was inferred that the outcomes of the ANN are in good agreement with the experimental data. The result of the analyses showed that the tool rotational speed has more impact than the weld-traverse speed. Originality/value The developed neural network can be used to predict the mechanical properties of the weld. Results indicate that the network prediction is similar to the experiment results. Overall regression value computed for training, validation and testing is greater than 0.9900 for both tensile strength and microhardness. In addition, the percentage error between experimental and predicted values was found to be minimal for the mechanical properties of the weldments. Therefore, it can be concluded that ANN is a potential tool for predicting the mechanical properties of the weld formed by FSW process. Similarly, the results of Taguchi Grey relational analysis can be used to optimize the process parameters of the weld process and it can be applied extensively to ascertain the most prominent factor. The results of which indicates that rotational speed of 1,270 rpm and traverse speed of 30 mm/min are to be the optimized process parameters. The result also shows that tool rotational speed has more impact on the mechanical properties of the weld than that of traverse speed.

Analysis of process parameters effects on underwater friction stir welding of aluminum alloy 6082-T6

2018 ◽  
Vol 233 (6) ◽  
pp. 1700-1710 ◽  
Author(s):  
Mohd Atif Wahid ◽  
Zahid A Khan ◽  
Arshad Noor Siddiquee ◽  
Rohit Shandley ◽  
Nidhi Sharma
Keyword(s):  
Tensile Strength ◽  
Aluminum Alloy ◽  
Friction Stir Welding ◽  
Process Parameters ◽  
Rotational Speed ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Tool Shoulder ◽  
Underwater Friction Stir Welding ◽  
Optimal Setting

In friction stir welding of heat treatable aluminum alloys, the thermal cycles developed during the joining process result in softening of the joints which adversely affect their mechanical properties. Underwater friction stir welding can be a process of choice to overcome this problem due to low peak temperature and short dwell time involved during the process. Consequently, this article presents a study pertaining to the underwater friction stir welding of aluminum alloy 6082-T6 with an aim to develop a mathematical model to optimize the underwater friction stir welding process parameters for obtaining maximum tensile strength. The results of the study reveal that the tool shoulder diameter (d), tool rotational speed (ω), welding speed (v), and second-order term of rotational speed, that is, ω2, significantly affect the tensile strength of the joint. The maximum tensile strength of 241 MPa which is indeed 79% of the base metal strength and 10.7% higher than that of conventional (air) friction stir welding joint was achieved at an optimal setting of the underwater friction stir welding parameters, that is, tool rotational speed of 900 r/min, the welding speed of 80 mm/min, and a tool shoulder of 17 mm. The article also presents the results of temperature variation, the macrostructural and microstructural investigations, microhardness, and fractography of the joint obtained at the optimal setting for underwater friction stir welded (UFSWed) joint.

Parametric optimization of friction stir welding process parameters of dissimilar welded joints using grey relational analysis and desirability function approach

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bhanodaya Kiran Babu Nadikudi
Keyword(s):  
Tensile Strength ◽  
Process Parameters ◽  
Tilt Angle ◽  
Grey Relational Analysis ◽  
Rotational Speed ◽  
Tool Rotational Speed ◽  
Content Type ◽  
Friction Stir ◽  
Relational Analysis ◽  
Grey Relational

Purpose The main purpose of the present work is to study the multi response optimization of dissimilar friction stir welding (FSW) process parameters using Taguchi-based grey relational analysis and desirability function approach (DFA). Design/methodology/approach The welded sheets were fabricated as per Taguchi orthogonal array design. The effects of tool rotational speed, transverse speed and tool tilt angle process parameters on ultimate tensile strength and hardness were analyzed using grey relational analysis, and DFA and optimum parameters combination was determined. Findings The tensile strength and hardness values were evaluated from the welded joints. The optimum values of process parameters were estimated through grey relational analysis and DFA methods. Similar kind of optimum levels of process parameters were obtained through two optimization approaches as tool rotational speed of 1150 rpm, transverse speed of 24 mm/min and tool tilt angle of 2° are the best process parameters combination for maximizing both the tensile strength and hardness. Through these studies, it was confirmed that grey relational analysis and DFA methods can be used to find the multi response optimum values of FSW process parameters. Research limitations/implications In the present study, the FSW is performed with L9 orthogonal array design with three process parameters such as tool rotational speed, transverse speed and tilt angle and three levels. Practical implications Aluminium alloys are widely using in automotive and aerospace industries due to holding a high strength to weight property. Originality/value Very limited work had been carried out on multi objective optimization techniques such as grey relational analysis and DFA on friction stir welded joints made with dissimilar aluminium alloys sheets.

Effect of Friction Stir Welding Process Parameters on Temperature Profile and Tensile Strength of Dissimilar Aluminum Alloys

2015 ◽  
Vol 813-814 ◽  
pp. 425-430
Author(s):  
Saurabh Kumar Gupta ◽  
K.N. Pandey ◽  
Rajneesh Kumar
Keyword(s):  
Tensile Strength ◽  
Friction Stir Welding ◽  
Temperature Profile ◽  
Process Parameters ◽  
Welding Speed ◽  
Rotational Speed ◽  
Peak Temperature ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Dissimilar Aluminum Alloys

The aim of this research is to study the effect of Friction Stir Welding (FSW) process parameters such as tool rotational speed and welding speed on temperature distribution and tensile strength of dissimilar AA5083-O and AA6063-T6 joint welded by FSW. Peak temperature at retreating side was observed lower as compared to advancing side for each experiment. Peak temperature decreases with decreasing the tool rotational speed but vice versa with welding speed. ANOVA indicated that the temperature profile was strongly dependent on the tool rotation speed than the welding speed and it also showed that welding speed is the main process parameter that has highest effect on tensile strength of welded joint.

Effect of Al2O3 nanoparticles on microstructure and mechanical properties of friction stir-welded dissimilar aluminum alloys AA7075-T6 and AA6061-T6

2021 ◽  
pp. 095440892110655
Author(s):  
Sumit Jain ◽  
R.S. Mishra
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Particle Dispersion ◽  
Al2o3 Nanoparticles ◽  
Tool Rotational Speed ◽  
Micro Hardness ◽  
Friction Stir ◽  
Dissimilar Aluminum Alloys

In this research, a defect-free dissimilar weld joint of AA7075-T6 and AA6061-T6 reinforced with Al2O3 nanoparticles was fabricated via friction stir welding (FSW). The influence of tool rotational speed (700, 900 and 1100 rpm), traverse speed (40, 50 and 60 mm/min) with varying volume fractions of Al2O3 nanoparticles (4%, 7% and 10%) on microstructural evolution and mechanical properties were investigated. The augmentation of various mechanical properties is based on the homogeneity of particle dispersion and grains refinement in the SZ of the FSWed joint. The findings revealed that the remarkable reduction in grain size in the SZ was observed owing to the incorporation of Al2O3 nanoparticles produces the pinning effect, which prevents the growth of grain boundaries by dynamic recrystallization (DRX). The increasing volume fraction of Al2O3 nanoparticles enhanced the mechanical properties such as tensile strength, % elongation and micro-hardness. Agglomeration of particles was observed in the SZ of the FSWed joints produced at lower tool rotational speed of 700 rpm and higher traverse speed of 60 mm/min due to unusual material flow. Homogenous particle dispersion and enhanced material mixing ensue at higher rotational speed of 1100 rpm and lower traverse speed of 40 mm/min exhibit higher tensile strength and micro-hardness.

Process Parameters Optimization of Friction Stir Welding in Aluminium Alloy 6063-T6 by Taguchi Method

2017 ◽  
Vol 867 ◽  
pp. 97-104 ◽  
Author(s):  
T. Ganapathy ◽  
K. Lenin ◽  
K. Pannerselvam
Keyword(s):  
Tensile Strength ◽  
Friction Stir Welding ◽  
Taguchi Method ◽  
Axial Force ◽  
Process Parameters ◽  
Welding Speed ◽  
Rotational Speed ◽  
Process Parameter ◽  
Main Process ◽  
Friction Stir

This paper deals with the effective application of friction stir welding similar to butt joining technique.AL6063 T-6 alloys prepared in 125x 100 x 7mm thickness plate and FSW tool setup were H13 of diameter 25mm rotary tool with straight cylindrical pin profile. The maximum strength was considered for selection of combined process parameter. The process parameters were optimized using Taguchi method. The Rotational speed, welding speed, and axial speed are the main process parameter which taken into our consideration. The optimum process parameters are determined with reference to tensile strength of the joint. From the experiments, it was found the effects of welding parameter are the axial force is highest substantial parameter to determining the tensile strength of the joint. The paper which revealed the optimal values of process parameter are to acquire a maximum tensile strength of friction stir welded AL6063-T6 plates is 101.6Mpa with the combination level of rotational speed, welding speed and axial force are found to be 1100 RPM, 60 mm/min and 12.5 KN. validation test was carried out and results were nearer to the optimized results confirmed by the optimum results.

Parameters optimization in FSW of polypropylene based on RSM

2015 ◽  
Vol 11 (1) ◽  
pp. 32-42 ◽  
Author(s):  
K Panneerselvam ◽  
Kasirajan Lenin
Keyword(s):  
Process Parameters ◽  
Rotational Speed ◽  
Optimization Techniques ◽  
Parameters Optimization ◽  
Tool Rotational Speed ◽  
Content Type ◽  
Friction Stir ◽  
Optimization Of Process Parameters ◽  
Output Characteristics ◽  
Tool Pin

Purpose – The purpose of this paper is to weld polypropylene (PP) material by friction stir welding (FSW) process. The input process parameters considered were: tool pin profile, feed rate and tool rotational speed and the process output characteristics were tensile strength, Shore-D hardness, Rockwell hardness, Izod strength, Charpy strength and nugget area. Design/methodology/approach – Optimization of process parameters were carried out based on response surface methodology (RSM) and significant parameters were obtained by performing analysis of variance (ANOVA). Findings – The optimized results were the threaded pin profile for feed of 60 mm/min and tool rotational speed of 1,500 rpm. A confirmation test was carried out to verify the optimized results. Originality/value – In this paper, the process parameters were optimized based on RSM. This is newly adopted optimization techniques in the FSW process of PP materials and also it gives better results.

scholarly journals Research the Effect of Process Parameters on Friction Stir Welded AA6063-ETP Copper joint using Taguchi Technique

2019 ◽  
Vol 8 (2S11) ◽  
pp. 884-888
Keyword(s):  
Thermal Conductivity ◽  
Process Parameters ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Copper Plate ◽  
Heat Sinks ◽  
Optimum Process ◽  
Tool Rotational Speed ◽  
Alloy Plate ◽  
Friction Stir

Aluminium and copper, or their combination finds application in heat sinks because of their excellent thermal conductivity. In the present study, Al–6063 and ETP copper were lap welded using friction stir welding wherein the aluminum alloy plate was placed on top of the copper plate. The optimum process parameters were found using Taguchi L9 orthogonal array. The process parameters namely tool rotational speed, tool traverse speed and thickness of zinc inter-filler material were considered. The optimal process parameters were ascertained with respect to the thermal conductivity of weld. The predicted optimum value of thermal conductivity was verified by conducting the confirmation run using the optimal parameters. Analysis of variance depicted that all the three process parameters were significant, wherein the tool rotational speed and the tool traverse speed were the most dominant factors contributing to thermal conductivity.

Effect of Tool Rotational Speed and Traverse Speed on Friction Stir Welding of 3D-Printed Polylactic Acid Material

2021 ◽  
Author(s):  
S. M. Senthil ◽  
Manickam Bhuvanesh Kumar
Keyword(s):  
Friction Stir Welding ◽  
Polylactic Acid ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Tool Rotational Speed ◽  
Butt Weld ◽  
Friction Stir ◽  
Welding Technology ◽  
Joint Efficiency ◽  
3D Printed

Joining of polymers are usually carried out using adhesives that has a deteriorating quality at elevated working conditions thus limiting its application areas. Friction stir welding (FSW) is a growing solid-state welding technology, with applications including the welding of lightweight materials. FSW was recently introduced for joining thermoplastics materials and found successful. This study attempts in employing FSW to join polylactic acid (PLA)-based 3D printed engineering components and assess the effect of FSW process parameters (tool rotational speed and traverse speed) on the weld property. The present work uses the FSW process to butt weld 5 mm thick 3D printed PLA sheets with taper cylindrical profiled tool. For the experimentation, three different combinations of feed rates and pin rotational speeds are considered. Based on joint efficiency evaluation, it is found that tool rotational speed of 1400 rpm combined with 10 mm/min transverse speed produces the weld with high joint efficiency of 40%.

Experimental Analysis on Mechanical Properties of Friction Stir Welding in Dissimilar Aluminum Alloys

2020 ◽  
pp. 64-68
Author(s):  
Anganan K ◽  
Narendran RJ ◽  
Naveen Prabhu N ◽  
Rahul Varma R ◽  
Sivasubramaniyam R
Keyword(s):  
Tensile Strength ◽  
Friction Stir Welding ◽  
Aluminum Alloys ◽  
Welding Speed ◽  
Rotational Speed ◽  
Copper Alloys ◽  
Welding Parameters ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Dissimilar Aluminum Alloys

Friction stir welding (FSW) is an innovative solid state joining technique and has been employed in industries for joining aluminum, magnesium, zinc and copper alloys. The FSW process parameters such as tool, rotational speed, welding speed, axial force, etc play major role in deciding the weld quality. A mathematical modeling was developed based on experiments to predict the tensile strength of dissimilar FSW aluminum alloys. The maximum tensile strength of 210 MPa can be obtained at the tool rotational speed of 1100 rpm, welding speed of 35mm/min and an axial load of 7 kN is the Optimum welding parameters.

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