Experimental modelling and genetic algorithm-based optimisation of friction stir welding process parameters for joining of dissimilar AA5083-O and AA6063-T6 aluminium alloys

2018 ◽  
Vol 56 (3) ◽  
pp. 253
Author(s):  
Saurabh Kumar Gupta ◽  
Rajneesh Kumar ◽  
K.N. Pandey
Keyword(s):  
Genetic Algorithm ◽  
Friction Stir Welding ◽  
Process Parameters ◽  
Aluminium Alloys ◽  
Welding Process ◽  
Experimental Modelling ◽  
Friction Stir ◽  
Friction Stir Welding Process

scholarly journals Genetic Algorithm-Based Optimization of Friction Stir Welding Process Parameters on Aa7108

2021 ◽  
Vol 10 (8) ◽  
pp. 47-53
Author(s):  
Maulikkumar B. Patel ◽  
Komal G. Dave
Keyword(s):  
Genetic Algorithm ◽  
Tensile Strength ◽  
Friction Stir Welding ◽  
Process Parameters ◽  
Fitness Function ◽  
Welding Process ◽  
Friction Stir ◽  
Friction Stir Welding Process ◽  
Confirmation Test ◽  
Microstructure Examination

This research paper deals with the characterization of friction stir welding aluminium 7108 with twin stir technology. The coupons of the above metal were friction stir welded using a cylindrical pin with counter-rotating twin stir technology using at constant speed 900, 1200, 1500,1800 with four different feed rates of 30,50,70,90 mm/min. Microstructure examination showed the variation of each zone and their influence on the mechanical properties. Also, tensile strength and hardness measurements were done as a part of the mechanical characterization and correlation between mechanical and metallurgical properties and deduced at the speed of 1500 rpm. Friction stir welding process parameters such as tool rotational speed (rpm), tool feed (mm/min) were considered to find their influence on the tensile strength (MPa) and hardness (HRB). A genetic algorithm (GA) was employed by taking the fitness function as a combined objective function to optimize the friction welding process parameters to predict the maximum value of the tensile strength and hardness. The confirmation test also revealed good closeness to the genetic algorithm predicted results and the optimized value of process parameters for different weights of the tensile and hardness have been predicted in the model.

Prediction and optimization of the mechanical properties of dissimilar friction stir welding of aluminum alloys using design of experiments

2016 ◽  
Vol 232 (8) ◽  
pp. 1384-1394 ◽  
Author(s):  
R Palanivel ◽  
RF Laubscher ◽  
S Vigneshwaran ◽  
I Dinaharan
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Friction Stir Welding ◽  
Aluminum Alloys ◽  
Ultimate Tensile Strength ◽  
Design Of Experiments ◽  
Process Parameters ◽  
Welding Process ◽  
Friction Stir ◽  
Friction Stir Welding Process

Friction stir welding is a solid-state welding technique for joining metals such as aluminum alloys quickly and reliably. This article presents a design of experiments approach (central composite face–centered factorial design) for predicting and optimizing the process parameters of dissimilar friction stir welded AA6351–AA5083. Three weld parameters that influence weld quality were considered, namely, tool shoulder profile (flat grooved, partial impeller and full impeller), rotational speed and welding speed. Experimental results detailing the variation of the ultimate tensile strength as a function of the friction stir welding process parameters are presented and analyzed. An empirical model that relates the friction stir welding process parameters and the ultimate tensile strength was obtained by utilizing a design of experiments technique. The models developed were validated by an analysis of variance. In general, the full impeller shoulder profile displayed the best mechanical properties when compared to the other profiles. Electron backscatter diffraction maps were used to correlate the metallurgical properties of the dissimilar joints with the joint mechanical properties as obtained experimentally and subsequently modeled. The optimal friction stir welding process parameters, to maximize ultimate tensile strength, are identified and reported.

Optimization of Friction Stir Welding Process Parameters to Join Al 5052 and Al 6061 Alloy Plates Using Grey-Taguchi Technique

2017 ◽  
Author(s):  
R. Sandeep ◽  
D. Sudhakara ◽  
G. Prasanthi
Keyword(s):  
Friction Stir Welding ◽  
Process Parameters ◽  
Welding Process ◽  
Dissimilar Materials ◽  
Fusion Welding ◽  
Optimum Process ◽  
Friction Stir ◽  
Friction Stir Welding Process ◽  
Grey Analysis ◽  
Grey Taguchi

Friction stir welding (FSW) is a solid state welding process used for welding similar and dissimilar materials. The process is widely used because it does not have common problems such as solidification and liquefaction cracking associated with the fusion welding techniques. The objective of the present research is to find the best combination of friction stir welding process parameters to join aluminium 5052 and 6061 alloy materials. The combination of process parameters is helpful to improve ultimate tensile strength, yield strength, percentage of elongation and hardness of welded joint. To achieve the research objective taguchi based grey analysis was used. The optimum process parameters were found be at rotational speed is 1400 rpm, transverse speed of 100 mm/min and axial force is at 11 KN.

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