2015
DOI: 10.24102/ijbrd.v4i3.575
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Application of Taguchi based Design of Experiments to Fusion Arc Weld Processes: A Review

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Cited by 18 publications
(14 citation statements)
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“…The orthogonal method is commonly used to optimize industrial processes (i.e., automobile or electronics) because it requires a minimal amount of experimentation (Kondapalli et al, 2013). For example, an experiment of four-factors with three levels each will require the execution of nine treatments, but a factorial design will require the execution of 81 treatments.…”
Section: Discussionmentioning
confidence: 99%
“…The orthogonal method is commonly used to optimize industrial processes (i.e., automobile or electronics) because it requires a minimal amount of experimentation (Kondapalli et al, 2013). For example, an experiment of four-factors with three levels each will require the execution of nine treatments, but a factorial design will require the execution of 81 treatments.…”
Section: Discussionmentioning
confidence: 99%
“…Narrow gap in combination with GMAW has been utilized by [17] on the study of arc characteristics and their influences on weld bead geometry in narrow gap GMAW as well as [18] on Characteristics of GMAW Narrow Gap Welding on the Armor Steel of Combat Vehicles. Also, Taguchi/DOE were used by [6,[19][20][21] to optimise process parameters with excellent results.…”
Section: Brief Literaturementioning
confidence: 99%
“…High quality products are produced at reduced costs as a result of this powerful tool as it improves productivity during research and development. [19] A statistical package -analysis of variance -ANOVA, (also provided by the Taguchi design) was used to analyse the effects of different variables.…”
Section: Brief Literaturementioning
confidence: 99%
“…The trial data were developed in a pattern of L9 Orthogonal Array (OA) So possible output can be predicted based on the input parameters of the experimentation. Results can be analysed by using analysis techniques such as ANOVA and linear regression [12]. Experimental results are shown by plotting response surface methodology (RSM) graph.…”
Section: Introductionmentioning
confidence: 99%