Multi Response Optimization of Process Parameters using Taguchi based Grey Relational Method in FSW of AZ91B Magnesium Alloy

2021 ◽  
Vol 13 (4) ◽  
Author(s):  
M.A. Unnikrishnan ◽  
J. Edwin Raja Dhas
Keyword(s):  
Tensile Strength ◽  
Magnesium Alloy ◽  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Welding Process ◽  
Welding Parameters ◽  
Friction Stir ◽  
Relational Analysis ◽  
Optimization Of Process Parameters ◽  
Grey Relational

In this paper, the Taguchi method and grey relational analysis have been used to evaluate the weldability of AZ91B Magnesium alloy by friction stir welding process. Experiments were conducted using the L9 Taguchi design considering an orthogonal array consist of 3 factors and 3 levels. The rotational speed, transverse speed and angle of tilt of the tool are selected as welding parameters. Analysis of variance (ANOVA) is used to analyze the influence of the welding parameters on the responses namely, ultimate tensile strength (UTS) and hardness. The analysis results revealed that the transverse speed is the predominant parameter affecting tensile strength, hardness and quality of the weld. Confirmation test results showed that the Taguchi method coupled with grey relational analysis is very successful in the optimization of welding parameters for maximum strength and hardness in the FSW of AZ91B Magnesium alloy.

Development of Taguchi based Grey Relational Analysis Optimization for FSW of AZ31B Magnesium Alloy

2020 ◽  
Vol 12 (3) ◽  
Author(s):  
M.A. Unnikrishnan ◽  
J. Edwin Raja Dhas ◽  
S. Shanavas
Keyword(s):  
Tensile Strength ◽  
Magnesium Alloy ◽  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Welding Parameter ◽  
Welding Parameters ◽  
Az31b Magnesium Alloy ◽  
Relational Analysis ◽  
Confirmation Test ◽  
Grey Relational

In this paper, grey relational analysis combined with Taguchi method has been used to evaluate the weld ability of AZ31B magnesium alloy by FSW process. The L9 Taguchi design considering an orthogonal array consists of 3 factors and 3 levels was used for experimentation. The rotational speed of tool, transverse speed and angle of tilt of the tool are selected as welding parameters. The welding parameters influence on responses namely Ultimate Tensile Strength (UTS) and hardness has been analyzed using ANOVA. The analysis results showed transverse speed as the predominant welding parameter affecting tensile strength, hardness, and weld quality. Confirmation test results showed that grey relational analysis along with Taguchi method yielded better results in the optimization of welding parameters in FSW of AZ31B magnesium alloy.

Multiple Response Optimization with Grey Relational Analysis of Friction Stir Welding Parameters in Joining Dissimilar Aluminium Alloys by Taguchi Method

2014 ◽  
Vol 592-594 ◽  
pp. 555-559 ◽  
Author(s):  
S. Ravikumar ◽  
V. Seshagiri Rao ◽  
V. Pranesh
Keyword(s):  
Grey Relational Analysis ◽  
Aluminium Alloys ◽  
Welding Process ◽  
Welding Parameters ◽  
Friction Stir ◽  
Relational Analysis ◽  
Novel Approach ◽  
Grey Relational Grade ◽  
Response Optimization ◽  
Grey Relational

This paper presents a novel approach for the optimization of welding parameters on dissimilar friction stir welded joints between AA6061T-651 and AA7075T-651 aluminium alloys with multiple responses based on orthogonal array by grey relational analysis. Experiments are conducted by varying the welding parameters related to three pin profiles. In this study, welding parameters namely rotational speed, welding speed and pin profiles are optimized with the considerations of multi responses such as ultimate tensile strength and hardness. A grey relational grade is obtained from the grey analysis. Based on the grey relational grade, optimum levels of parameters have been identified and significant contribution of parameters is determined by ANOVA (Analysis of Variance). Confirmation test is conducted to validate the test result. Experimental results have shown that the responses in welding process can be improved effectively through this novel approach.

Using Taguchi Grey Relational Analysis Multi-Object of Process Parameters in Electric Resistance Welding of Wire to Recovery AISI1045 Steell Shaft

2021 ◽  
Vol 872 ◽  
pp. 39-44
Author(s):  
Minh Tan Nguyen ◽  
Van Thoai Le ◽  
Thanh Phu Nguyen ◽  
Van Nhat Nguyen
Keyword(s):  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Welding Process ◽  
Resistance Welding ◽  
Welding Parameters ◽  
Electric Resistance ◽  
Welding Joint ◽  
Relational Analysis ◽  
Electric Resistance Welding ◽  
Grey Relational

This study focuses on the multi-objective optimization of the welding joint of AISI 1045 steel shafts with AISI 1070 filler wire 1.8 mm in diameter by electric resistance welding method. During the welding process, welding parameters input are important because it determines the quality of the welding joint. Therefore, in this study, Taguchi method was used in combination with grey relational analysis to select the welding parameters suitable for this welding process. The experiments were performed according to the orthogonal array L9 designed by the Taguchi method. The input welding mode parameters used in this study include welding current (Ih), force (F), welding speed (Vh). The output characteristics for the selected weld quality target are minimum tensile strength and micro hardness. Grey analyzes were conducted to optimize for the input parameters, the analysis results show that the set of input parameters suitable for the output quality are Ih = 7.5 KA; F = 1.7 KN; Vh = 1.5 cm/s. This is followed by the process of assessing the significance of the factors to all qualities of the welded joint using the ANOVA analysis process.

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