Grey-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding

Datta, Saurav; Bandyopadhyay, Asish; Pal, P. K.

doi:10.1007/s00170-007-1283-6

Cited by 210 publications

(108 citation statements)

References 6 publications

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“…Table 3 shows the selected design matrix based on Taguchi L9 orthogonal array consisting of 9 sets of coded conditions and the experimental results for the responses of F, Ra and MRR. All these data have been utilized for analysis and evaluation of optimal parameter combination required to achieve desired quality within the experimental domain [10,11]. …”

Section: Process Parameters and Test Resultsmentioning

confidence: 99%

A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic

Eşme¹

2017

European Mechanical Science

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This study focused on the Grey-Based Fuzzy Logic Algorithm for the prediction and optimization of multiple performance characteristics of oblique turning process. Experiments have been constructed according to Taguchi's L16 orthogonal array design matrix. Cutting speed, rate of feed and depth of cut were selected as input parameters, whereas material removal rate, cutting force and surface roughness were selected as output responses. Using grey relation analysis (GRA), grey relational coefficient (GRC) and grey relation grade (GRG) were obtained. Then, Grey based fuzzy algorithm was applied to obtain grey fuzzy reasoning grade (GFRG). Analysis of variance (ANOVA) carried out to find the significance and contribution of parameters on multiple performance characteristics. Finally, confirmation test was applied at the optimum level of GFRG to validate the results. The results also show the application feasibility of the grey based fuzzy algorithm for continuous improvement in product quality in complex manufacturing processes.

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Section: Process Parameters and Test Resultsmentioning

confidence: 99%

A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic

Eşme¹

2017

European Mechanical Science

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“…The parameter design of the Taguchi method utilizes orthogonal array (OA), signal-to-noise ( / ) ratios, main effects, and analysis of variance (ANOVA). OA provides a set of well-balanced (minimum experimental runs) experiments and Taguchi's / , which are logarithmic functions of desired output, serve as objective functions for optimization [32]. The main effects and ANOVA are carried out after performing the statistical analysis of / ratio.…”

Section: Standalone Taguchi Methodsmentioning

confidence: 99%

Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review

Fei

Mehat²,

Kamaruddin

2013

ISRN Industrial Engineering

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Determining the optimal processing parameter is routinely performed in the plastic injection moulding industry as it has a direct and dramatic influence on product quality and costs. In this volatile and fiercely competitive market, traditional trial-and-error is no longer sufficient to meet the challenges of globalization. This paper aims to review the research of the practical use of Taguchi method in the optimization of processing parameters for injection moulding. Taguchi method has been employed with great success in experimental designs for problems with multiple parameters due to its practicality and robustness. However, it is realized that there is no single technique that appears to be superior in solving different kinds of problem. Improvements are to be expected by integrating the practical use of the Taguchi method into other optimization approaches to enhance the efficiency of the optimization process. The review will shed light on the standalone Taguchi method and integration of Taguchi method with various approaches including numerical simulation, grey relational analysis (GRA), principal component analysis (PCA), artificial neural network (ANN), and genetic algorithm (GA). All the features, advantages, and connection of the Taguchi-based optimization approaches are discussed.

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“…Now, the multi response problem has been transformed into a single equivalent response. Therefore, the higher Grey relational grade means that the corresponding parameter combination is closer to the optimum [119,120]. Thus, Taguchi's method was used to obtain the higher Grey relational grade with regard to robustness in signal-to-noise (S/N) ratio based on the larger-the-better criterion Equation III.2, as shown in Table IV.8.…”

Section: ïV-3-optimization Of Plasma Process Parametersmentioning

confidence: 99%

Development of nano-structured icephobic surfaces based on plasma polymerization /

Mobarakeh¹

2014

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Accumulated ice on exposed surfaces leads to operational difficulties and extensive maintenance for power transmission lines, antennas, aircraft, ships, and ground transportation vehicles.In the present study, the low pressure plasma polymerized Hexamethyldisiloxane (PP-HMDSO) film is deposited on aluminum surfaces to create a superhydrophobic coating with icephobic properties. Prior to the deposition of this low surface energy coating, aluminum surfaces were anodized or immersed in boiling water to make micro/nano structured surfaces.Plasma parameters were optimized in order to find the best optimum conditions for having high static contact angle and low contact angle hysteresis. Hence, the Grey-based Taguchi method was used as one of the Design of Experiment (DOE) techniques. The stability of coatings was studied under accelerated aging conditions such as UV degradation, immersion in distilled water and different pH solutions, and several icing/deicing cycles. It was observed that the PP-HMDSO coatings are quite stable against UV exposure and immersion in distilled water. However, the icephobicity of the PP-HMDSO coating deposited on the anodized aluminum decreased after fifteen icing/de-icing cycles.The stability of the developed coating was improved against several icing/de-icing cycles by increasing the deposition time of plasma polymerized coating from 15 to 25 minutes. The results showed that increasing the deposition time of plasma polymerization leads to decrease of the ice adhesion strength of coatings on anodized aluminum while it has no significant effect on the PP-HMDSO coating deposited on a water-treated aluminum surface. Finally, the superhydrophobic PP-HMDSO coating also provides anti-corrosion protection for the aluminum substrate.

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Grey-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding

Cited by 210 publications

References 6 publications

A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic

A hybrid approach for the prediction and optimization of cutting forces using grey-based fuzzy logic

Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review

Development of nano-structured icephobic surfaces based on plasma polymerization /

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