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.

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.

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.

Robust Process Design towards through-Silicon via Quality Improvement Based on Grey-Taguchi Method

2012 ◽  
Vol 217-219 ◽  
pp. 2183-2186
Author(s):  
Chao Wei Tang ◽  
Li Chang Chuang ◽  
Hong Tsu Young ◽  
Mike Yang ◽  
Hsueh Chuan Liao
Keyword(s):  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Chemical Etching ◽  
Through Silicon Via ◽  
Relational Analysis ◽  
Wet Chemical ◽  
Wet Chemical Etching ◽  
Etching Parameters ◽  
Grey Relational ◽  
Grey Taguchi

The robust design of chemical etching parameters is dealing with the optimization of the through-silicon via (TSV) roundness error and TSV lateral etching depth in the etching of silicon for laser drilled TSVs. The considered wet chemical etching parameters comprise the HNO3 molarity, HF molarity, and etching time. Grey-Taguchi method is combining the orthogonal array design of experiments with Grey relational analysis (GRA), which enables the determination of the optimal combination of wet chemical etching parameters for multiple process responses. The concept of Grey relational analysis is to find a Grey relational grade, which can be used for the optimization conversion from a multiple objective case to a single objective case. Also, GRG is used to investigate the parameter effects to the overall quality targets.

Optimization of Cutting Parameters of Multiple Performance Characteristics in End Milling of AlSi/AIN MMC – Taguchi Method and Grey Relational Analysis

2014 ◽  
Vol 68 (4) ◽  
Author(s):  
S. H. Tomadi ◽  
J. A. Ghani ◽  
C. H. Che Haron ◽  
M. S. Kasim ◽  
A. R. Daud
Keyword(s):  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Volume Fraction ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Performance Characteristics ◽  
Depth Of Cut ◽  
Relational Analysis ◽  
Grey Relational

The main objective of this paper is to investigate and optimize the cutting parameters on multiple performance characteristics in end milling of Aluminium Silicon alloy reinforced with Aluminium Nitride (AlSi/AlN MMC) using Taguchi method and Grey relational analysis (GRA). The fabrication of AlSi/AlN MMC was made via stir casting with various volume fraction of particles reinforcement (10%, 15% and 20%). End milling machining was done under dry cutting condition by using two types of cutting tool (uncoated & PVD TiAlN coated carbide). Eighteen experiments (L18) orthogonal array with five factors (type of tool, cutting speed, feed rate, depth of cut, and volume fraction of particles reinforcement) were implemented. The analysis of optimization using GRA concludes that the better results for the combination of lower surface roughness, longer tool life, lower cutting force and higher material removal could be achieved when using uncoated carbide with cutting speed 240m/min, feed 0.4mm/tooth, depth of cut 0.3mm and 15% volume fraction of AlN particles reinforcement. The study confirmed that with a minimum number of experiments, Taguchi method is capable to design the experiments and optimized the cutting parameters for these performance characteristics using GRA for this newly develop material under investigation.

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