Simultaneous optimization of flame spraying process parameters for high quality molybdenum coatings using Taguchi methods

Babu, Madhu; Kumar, Rajeev; Prabhakar, O.; Shankar, N. Gowri

doi:10.1016/0257-8972(95)02453-0

Cited by 40 publications

(13 citation statements)

References 18 publications

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“…Most published Taguchi applications to date are related to the optimization of a single performance characteristic. Also of much interest is the handling of the more demanding multiple performance characteristics (MPCs) [19][20]. Principal component analysis was proposed by Pearson and developed into a computational method by Hotelling [21].…”

Section: Introductionmentioning

confidence: 99%

Combining Taguchi Method, Principal Component Analysis and Fuzzy Logic to the Tolerance Design of a Dual-Purpose Six-Bar Mechanism

Chen

Tzeng

Hsu

et al. 2010

Transactions of the Canadian Society for Mechanical Engineering

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A hybrid approach of combining Taguchi method, principal component analysis and fuzzy logic for the tolerance design of a dual-purpose six-bar mechanism is proposed. The approach is to firstly use the Taguchi orthogonal array to carry out experiments for calculating the S/N ratios of the positional errors to the angular error of the dual-purpose six-bar mechanism. The principal component analysis is then applied to determine the principal components of the S/N ratios, which are transformed via fuzzy logic reasoning into a multiple performance index (MPI) for further analysis of the effect of each control factors on the quality of the mechanism. Through the analysis of response table and diagram, key dimensional tolerances can be classified, which allows the decision of either to tighten the key tolerances to improve mechanism quality or to relax the tolerance of non-key dimensions to reduce manufacturing costs to be made. COMBINAISON DE LA MÉ THODE TAGUCHI, ANALYSE DU COMPOSANT PRINCIPAL ET LOGIQUE FLOUE, POUR LE DESIGN TOLÉ RANT D'UN MÉ CANISME À SIX BARRES À DOUBLE FONCTION RÉ SUMÉ Une approche hybride combinant la méthode Taguchi, analyse du composant principal et logique floue, pour le design tolérant d'un mécanisme à six barres à double fonction, est proposée.L'approche consiste à utiliser premièrement la table orthogonale de Taguchi pour mener des expériences de calcul de ratio S/N des erreurs de position à l'erreur angulaire du mécanisme à six barres à double fonction. L'analyse du composant principal est alors appliquée pour déterminer les composants principaux des ratios, lesquels sont transformés via le raisonnement de la logique floue en un indice de performance multiple pour une analyse plus complète des effets de chaque facteur de contrô le sur la qualité de mécanisme. Par l'analyse de la table de réponse et du diagramme, les tolérances dimensionnelles clés peuvent être classifiées. Ceci permet de décider soit du resserrement des tolérances clés pour améliorer la qualité ou de détendre la tolérance dimensionnelle non-clés pour réduire les coû ts de fabrication.

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Section: Introductionmentioning

confidence: 99%

Combining Taguchi Method, Principal Component Analysis and Fuzzy Logic to the Tolerance Design of a Dual-Purpose Six-Bar Mechanism

Chen

Tzeng

Hsu

et al. 2010

Transactions of the Canadian Society for Mechanical Engineering

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“…His work provided a fast development in many fields since the 1980s. Much work in optimization studies can be found in mechanical and electrical fields, but few are published in welding engineering [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A robust design in hardfacing using a plasma transfer arc

Jean²,

Wang

et al. 2005

Int J Adv Manuf Technol

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This paper presents the use of the Taguchi-regression method in developing the optimal plasma transferred arc welding (PTAW) process for obtaining high hardfacing quality characteristics. An "optimal" process means that the best performance characteristic would be produced while the least number of process parameters are involved. In the experimental tests, the surface hardening process is conducted using Cobalt-based and Nickel-based powdery metal materials together with L 18 orthogonal arrays. The dependent variable, wear, obeys the-smallerthe-better quality characteristic, and the performance statistics, the signal-to-noise ratios (SNRs), are obtainable.The experimental results show that the most efficient process parameters based on analysis of variance are set as follows: hardfacing material, the accelerating voltage, the powder feed rate , and the pre-heat treatment temperature. They account for almost 90% of the total variance of wear. Under the optimal setting, the average error rates for using Taguchi and Taguchi-regression methods are 7.05 and 5.50%, respectively. The outcome of the experiment indicates that predicted values of the optimal setting fit well with the actual data. The reproducibility of the optimal plasma transfer arc hardfacing is obtained from the experimental data of the confirmation run. A reliable analysis based on the results from plasma transfer arc hardfacing conditions can be achieved through the Taguchi-regression method.

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“…Taguchi [13] proposed a procedure that applies orthogonal arrays from statistical design of experiments to efficiently obtain the best model with the least number of experiments. However, Vijaya et al [3], Yang [4] and Alsaran et al [5] have shown that the Taguchi methods can be applied to the analysis only for single quality characteristic, but not for the multiple quality characteristics in the welding engineering area. Solutions of the optimal processes for multiple quality characteristics have been proposed.…”

mentioning

confidence: 99%

Optimisation of cobalt-based hardfacing in carbon steel using the fuzzy analysis for the robust design

Wang

Jean

2006

Int J Adv Manuf Technol

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In this paper, we present the application of the fuzzy logic analysis to a Taguchi orthogonal experiment for developing a robust model with high efficiency in multiple performance characteristics (MPCs) of the plasma transfer arc welding (PTAW) hardfacing process. It eliminates uncertain information and is a simple, effective, and efficient approach. A fuzzy logic system is used to simultaneously investigate relationships between various MPCs and to determine the efficiency of each trial of the Taguchi experiments. From the fuzzy inference process, we are able to determine the optimal setting of factor-levels for the MPCs. In addition, we also use the analysis of variance (ANOVA) to identify the significant factors, which coincide with findings from the fuzzy logic analysis and are found to account for about 79% of the total variance. Furthermore, a confirmation experiment of the optimal process is conducted, and it verifies that both individual performance characteristics and MPCs are successfully optimized and satisfy our desired levels of MPCs.Keywords Analysis of variance (ANOVA) 9 Fuzzy logic 9 Hardfacing 9 Multiple 9 Normalization performance characteristic indices (MPCI) 9 Plasma transfer arc welding (PTAW)

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Simultaneous optimization of flame spraying process parameters for high quality molybdenum coatings using Taguchi methods

Cited by 40 publications

References 18 publications

Combining Taguchi Method, Principal Component Analysis and Fuzzy Logic to the Tolerance Design of a Dual-Purpose Six-Bar Mechanism

Combining Taguchi Method, Principal Component Analysis and Fuzzy Logic to the Tolerance Design of a Dual-Purpose Six-Bar Mechanism

A robust design in hardfacing using a plasma transfer arc

Optimisation of cobalt-based hardfacing in carbon steel using the fuzzy analysis for the robust design

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