Taguchi optimization of process parameters in friction stir processing of pure Mg

Ahmadkhaniha, Donya; Sohi, M. Heydarzadeh; Zarei-Hanzaki, A.; Bayazid, Seyed Mahmoud; Saba, M.

doi:10.1016/j.jma.2015.04.002

Cited by 54 publications

(27 citation statements)

References 25 publications

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“…C1, C2, and C3 stand for the filled mass ratios of Al 2 O 3 at different levels 1, 2, and 3 (corresponding to 0, 5, and 10 wt %) respectively. The greater S/N ratios correspond to the smaller variance of the friction coefficient and wear rate around the desired value . As seen in Figure (a), the biggest S/N ratios for the friction coefficients of PTFE, Cu, and Al 2 O 3 are obtained at levels A3, B3, and C1.…”

Section: Resultsmentioning

confidence: 86%

“…The Taguchi design method uses a special design of orthogonal arrays to study the entire parameter space, which makes the Taguchi design even more effective in materials or experiments design . And the Taguchi design method has been found to be a simple and robust technique for optimizing the process parameters in friction stir processing of pure Mg . Philip Selvaraj et al .…”

Section: Introductionmentioning

confidence: 99%

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Optimization of PTFE/Cu/Al₂O₃ filled PMMA based composites on tribological properties using Taguchi design method

Zhang

Chen

et al. 2018

J of Applied Polymer Sci

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The filling combination of polytetrafluoroethylene (PTFE)/Cu/Al2O3 filled poly(methyl methacrylate) (PMMA) based composites aiming at low friction and wear is optimized based on L9(34) by Taguchi method. The worn morphologies of PMMA based composites are analyzed by scanning electron microscopy (SEM). The PTFE transfer film and the wear debris on the steel ball surface are analyzed by SEM and X‐ray spectroscopy. It is observed that the friction and wear of PMMA can be obviously decreased by filling with PTFE, Cu, and Al2O3. PTFE has the most significant but Cu has the negligibly smallest contribution on both the friction coefficient and the wear rate. The lower friction coefficient (<0.2) appears by the combination of the mass ratio of PTFE larger than about 4.5% and the mass ratio of Al2O3 lower than ∼7.5%. The lower wear rate (<5 × 10−5 mm3/Nm) appears by the combination of the mass ratio of PTFE larger than about 5% and the mass ratio of Al2O3 lower than ∼8%, but it does not include that PTFE is greater than about 8.5% and Al2O3 is less than about 1.5%. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018, 135, 46705.

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Section: Resultsmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Optimization of PTFE/Cu/Al₂O₃ filled PMMA based composites on tribological properties using Taguchi design method

Zhang

Chen

et al. 2018

J of Applied Polymer Sci

View full text Add to dashboard Cite

show abstract

“…To select an appropriate orthogonal array for the experiments, the total degrees of freedom (DOF) need to be computed. The DOF for the orthogonal array should be greater than or at least equal to those for the design parameters [29].…”

Section: Taguchi Experimental Design and Optimizationmentioning

confidence: 99%

“…The experimental plan undertaken was evaluated at a confidence level of 95%. The significance of control factors in ANOVA is determined by comparing P-values of each control factor [29]. The P-value is a statistical index used in the analysis of variance.…”

Section: Taguchi Experimental Design and Optimizationmentioning

confidence: 99%

“…The maximum tool life values can be calculated from the total mean values of the experimental trial results for the tool life. An important requirement when calculating the optimum points is to identify the optimum levels for the machining parameters [29]. These were defined by assessing different levels of the input parameters, based on the results from combinations produced by the orthogonal array [34].…”

Section: Taguchi Analysis For Tool Lifementioning

confidence: 99%

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Prediction and Optimization of Drilling Parameters in Drilling of AISI 304 and AISI 2205 Steels with PVD Monolayer and Multilayer Coated Drills

Youssef

El-Hofy

Ahmed

2018

JMMP

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Due to their high ductility, high durability, and excellent corrosion resistance, stainless steels are attractive materials for a variety of applications. However, high work hardening, low thermal conductivity, and high built-up edge (BUE) formation make these materials difficult to machine. Rapid tool wear and high cutting forces are the common problems encountered while machining these materials. In the present work, the application of Taguchi optimization methodology has been used to optimize the cutting parameters of the drilling process for machining two stainless steels: austenitic AISI 304 and duplex AISI 2205 under dry conditions. The machining parameters which were chosen to be evaluated in this study are the tool material, cutting speed, and feed rate, while, the response factors to be measured are the tool life (T), cutting force (F c ), and specific cutting energy (k s ). Additionally, empirical models were created for predicting the T, F c and k s using linear regression analysis. The results of this study show that AISI 2205 stainless steel has a shorter tool life, a higher cutting force, and a higher specific cutting energy than AISI 304 stainless steel. In addition, the Taguchi method determined that A 3 B 1 C 1 and A 3 B 3 C 1 (A 3 = TiN-coated twist drill, B 1 = 13 m/min, B 3 = 34 m/min, C 1 = 0.12 mm/rev) are the optimized combination of levels for the best tool life and the lowest cutting force, respectively. Meanwhile, the optimized combination of levels for all three control factors from the analysis, which provides the lowest specific cutting energy, was found to be A 3 B 1 C 3 (A 3 = TiN-coated twist drill, B 1 = 13 m/min, C 3 = 0.32 mm/rev) for both stainless steels.

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Role ofFSPin Surface Engineering

Suman,

Sabiruddin

2024

Friction Stir Welding and Processing

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Taguchi optimization of process parameters in friction stir processing of pure Mg

Cited by 54 publications

References 25 publications

Optimization of PTFE/Cu/Al₂O₃ filled PMMA based composites on tribological properties using Taguchi design method

Optimization of PTFE/Cu/Al₂O₃ filled PMMA based composites on tribological properties using Taguchi design method

Prediction and Optimization of Drilling Parameters in Drilling of AISI 304 and AISI 2205 Steels with PVD Monolayer and Multilayer Coated Drills

Role ofFSPin Surface Engineering

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Taguchi optimization of process parameters in friction stir processing of pure Mg

Cited by 54 publications

References 25 publications

Optimization of PTFE/Cu/Al2O3 filled PMMA based composites on tribological properties using Taguchi design method

Optimization of PTFE/Cu/Al2O3 filled PMMA based composites on tribological properties using Taguchi design method

Prediction and Optimization of Drilling Parameters in Drilling of AISI 304 and AISI 2205 Steels with PVD Monolayer and Multilayer Coated Drills

Role ofFSPin Surface Engineering

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Product

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About

Optimization of PTFE/Cu/Al₂O₃ filled PMMA based composites on tribological properties using Taguchi design method

Optimization of PTFE/Cu/Al₂O₃ filled PMMA based composites on tribological properties using Taguchi design method