Application of Taguchi Method in the Optimization of Friction Stir Welding Parameters of an Aeronautic Aluminium Alloy

Vidal, Catarina; Infante, V.; Peças, Paulo; Vilaça, Pedro

doi:10.11127/ijammc.2013.02.005

Cited by 19 publications

(15 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where N is the number of experiments in the orthogonal array, Y i is the experimental result for the i th experiment and Y is given by [86]:…”

Section: Independent and Original Variablesmentioning

confidence: 99%

“…Thus, information about how significant the effect of each design parameter is on the dependent variable can be obtained [86]. The ANOVA for raw data has been conducted to identify the significant parameters Table 3 Number of trapezoidal membership functions (trapmf) and their ranks (including extreme limits of trapezoidal functions) for each of the input and output variables considered in the present fuzzy sets.…”

Section: Prediction Of Lateral Confinement Coefficient ðK S þmentioning

confidence: 99%

“…Column width (mm) and to quantify their effect on the lateral confinement coefficient. In ANOVA, total sum of squares (SS T ) is calculated by [86,87]:…”

Section: Nnimentioning

confidence: 99%

See 2 more Smart Citations

Application of fuzzy logic approach in predicting the lateral confinement coefficient for RC columns wrapped with CFRP

Doran

Yetilmezsoy

Murtazaoglu

2015

Engineering Structures

View full text Add to dashboard Cite

“…where N is the number of experiments in the orthogonal array, Y i is the experimental result for the i th experiment and Y is given by [86]:…”

Section: Independent and Original Variablesmentioning

confidence: 99%

Section: Prediction Of Lateral Confinement Coefficient ðK S þmentioning

confidence: 99%

See 1 more Smart Citation

Application of fuzzy logic approach in predicting the lateral confinement coefficient for RC columns wrapped with CFRP

Doran

Yetilmezsoy

Murtazaoglu

2015

Engineering Structures

View full text Add to dashboard Cite

“…There are many ways to compute the analysis of variance: general linear models, Statistical Package for Social Sciences (SPSS) and Minitab; this program is designed to provide a simple, effective way to input statistical data, manipulate that data, identify trends and patterns, and then extrapolate answers to the problem at hand. That's a rather simplistic way of describing this vital and extremely effective tool [7].…”

Section: Taguchi Methods Andminitab Programmentioning

confidence: 99%

Evaluated of Mechanical Properties for Aluminum Alloy Using Taguchi Method

2016

International Journal of Modern Studies in Mechanical Engineeri

View full text Add to dashboard Cite

“…The objective of the parameter design is to optimize the settings of the process parameter values for improving performance characteristics and to identify the product parameter values under the optimal process parameter values. The parameter design is the key step in the Taguchi method to achieving high quality without increasing cost [5].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Process Parameters for Flux Cored Arc Welding of Boiler Quality Steel Using Response Surface Methodology and Grey-Based Taguchi Methods

Biswas¹,

Pal²,

Bandyopadhyay³

2015

IJMMM

View full text Add to dashboard Cite

Abstract-To achieve weld of good quality and high deposition rate, it is essential to know about the influence of the welding parameters on the quality characteristics and deposition rate. It is thereby important to control the parameters accordingly. Process optimization is relevant in this contest. This is true for any welding process including flux cored arc welding (FCAW). In the present study metal plates of boiler quality (BQ) steel have been welded by FCAW at varied levels of input parameters. Input (welding) parameters have been considered in the study are: shielding gas (CO 2 ) flow rate, electrode wire feed rate and arc voltage. In the present work, the use of grey-based Taguchi method for multi-response optimization of the FCAW process in butt welding of BQ steel is reported. Welding has been carried out using a semiautomatic GMAW welding setup on metal plates of BQ steel. Deposition rate has been selected as performance characteristic; hardness and percentage of elongation have been selected as quality characteristics. A regression model for these characteristics has been developed and its adequacy has been evaluated. A two order polynomial equation has been fitted to the data. Response surface methodology (RSM) has been applied to plot the three dimensional response surfaces for deposition rate, hardness and percentage of elongation with FCAW parameters. The importance of the welding parameters in respect of influence of these parameters on the quality index is determined by using analysis of variance (ANOVA).Index Terms-ANOVA, boiler quality steel, FCAW, GMAW, grey-based Taguchi method, regression model, RSM.

show abstract

Application of Taguchi Method in the Optimization of Friction Stir Welding Parameters of an Aeronautic Aluminium Alloy

Cited by 19 publications

References 4 publications

Application of fuzzy logic approach in predicting the lateral confinement coefficient for RC columns wrapped with CFRP

Application of fuzzy logic approach in predicting the lateral confinement coefficient for RC columns wrapped with CFRP

Evaluated of Mechanical Properties for Aluminum Alloy Using Taguchi Method

Optimization of Process Parameters for Flux Cored Arc Welding of Boiler Quality Steel Using Response Surface Methodology and Grey-Based Taguchi Methods

Contact Info

Product

Resources

About