2014
DOI: 10.1016/j.mspro.2014.07.129
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A Grey-based Taguchi Method to Optimize Hot Forging Process

Abstract: In this study, Three dimensional finite element analysis has been carried out using FEM based DEFORM TM 3D software on hot forging of spring saddle. The influence of design parameter viz. flash thickness and process parameters viz. billet temperature, die temperature and friction coefficient along with their interactions are investigated for the responses forging load and billet temperature loss during hot forging operation using Taguchi's L27 orthogonal array. Analysis of variance (ANOVA) is employed to deter… Show more

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Cited by 33 publications
(15 citation statements)
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“…The traditional Taguchi method is suitable to optimize single response variable at a time, but it is not suitable to optimize multiple-responses simultaneously. To achieve the optimization of multiple responses, both responses (MRR and RMS) are converted into a single response-grey relational grade-based on grey relational analysis [33][34][35][36][37][38][39][40][41][42][43]. The grey relational generation (a data preprocessing step based on Eqs.…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…The traditional Taguchi method is suitable to optimize single response variable at a time, but it is not suitable to optimize multiple-responses simultaneously. To achieve the optimization of multiple responses, both responses (MRR and RMS) are converted into a single response-grey relational grade-based on grey relational analysis [33][34][35][36][37][38][39][40][41][42][43]. The grey relational generation (a data preprocessing step based on Eqs.…”
Section: Resultsmentioning
confidence: 99%
“…Till date there have been no studies on the optimization of process parameters of CMP of c-plane GaN. This paper focuses on the optimization of the CMP process-parameters of c-plane GaN in KMnO 4 /Al 2 O 3 slurry, using Taguchi method (TM) [30][31][32] and Grey Relational Analysis (GRA) [33]-also referred as grey-based Taguchi method [34][35][36][37][38] or Taguchi-based grey relational analysis [39][40][41]-in order to achieve an optimum combination of MRR and RMS.…”
Section: Contents Lists Available At Sciencedirectmentioning
confidence: 99%
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“…They have demonstrated that the cost and time spent in predicting die failure through experimental work and die tryouts can be minimized with the use of finite element method (FEM) simulations. Equbal et al [13] have shown that DEFORM ™ 3D FEM-based simulation software was an effective tool in investigating the effect of design and process parameters on forging load and loss of billet temperature. Using potential of Taguchi design of experiments, analysis of variance and the Grey-Taguchi method in multi-objective optimization of process parameters, they have optimized the parameters to better performance of the forging process.…”
Section: Introductionmentioning
confidence: 99%