The Taguchi method

Mitra, Amitava

doi:10.1002/wics.169

Cited by 42 publications

(17 citation statements)

References 16 publications

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“…Mean values and standard deviations of critical water flow rates and temperatures, for each variant of experiment, were also calculated. Using a statistical methods based on Taguchi assumptions, the influence of experiment factors (absence or presence of particles, oil viscosity) on the dependent variable (critical water flow rate) has been analyzed. Because large values of critical water flow rate are desirable (equivalent to high casting speed), the analysis was carried out using the criterion function “ the larger‐the better ”, in the form of an expression describing “ signal to noise ” coefficient:

η = - 10 \cdot \log_{10} true(\frac{1}{n} \sum_{i - 1}^{n} \frac{1}{y_{i}^{2}} true)

where: n , number of measurements, y , measured variable (critical water flow rate).…”

Section: Resultsmentioning

confidence: 99%

Physical Modeling of Mold Slag Entrainment in Continuous Steel Casting Mold with Consideration the Impact of Mold Powder Layer

Bielnicki

Jowsa

2018

steel research int.

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This paper presents the results of laboratory experiments with the usage of water model of continuous steel casting mold for slabs casting. In laboratory experiments, the liquid slag layer is replaced by silicone oil, whereas mold powder layer is replaced by polypropylene particles. The obtained results has been analyzed using a statistical method based on Taguchi assumptions. Critical casting speeds are determined depending on the viscosity of liquid mold slag. Possible mechanisms of slag entrainment are also specified. It is explained, whether taking into account in laboratory experiment the presence of mold powder layer change the entrainment conditions. Based on the obtained results and their discussion it is concluded, that the presence of mold powder should not be ignored in laboratory experiments of continuous steel casting in mold, because to a certain extent it changes the behavior and entrainment conditions of the oil layer.

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η = - 10 \cdot \log_{10} true(\frac{1}{n} \sum_{i - 1}^{n} \frac{1}{y_{i}^{2}} true)

where: n , number of measurements, y , measured variable (critical water flow rate).…”

Section: Resultsmentioning

confidence: 99%

Physical Modeling of Mold Slag Entrainment in Continuous Steel Casting Mold with Consideration the Impact of Mold Powder Layer

Bielnicki

Jowsa

2018

steel research int.

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“…[44] This is despite the fact that, in the Taguchi method, the same concept is used to determine the optimality of each parameter at different levels. [45] Therefore, a higher value of S/N is accompanied by higher efficiency of the system. [46] Figure 10 provides a binary sensitivity analysis of the key parameters in relation to the removal efficiency.…”

Section: Optimisation Of Critical Parametersmentioning

confidence: 99%

One‐step hydrothermal synthesis of a green NiCo‐LDHs‐rGO composite for the treatment of lead ion in aqueous solutions

Makarem,

Aldaghi,

Gheibi

et al. 2023

Can J Chem Eng

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Herein, we have synthesized a microspherical nickel‐cobalt‐layered double hydroxides‐reduced graphene oxide composite (NiCo‐LDHs‐rGO) through a one‐step hydrothermal method and then used it as an adsorbent for the removal of Pb2+ from aqueous solutions. Fourier transform infrared spectrophotometry (FT‐IR), field emission scanning electron microscopy (FESEM), mapping elemental analysis, electron dispersive x‐ray spectroscopy (EDX), x‐ray diffraction analysis (XRD), and the Brunauer–Emmett–Teller (BET) method were used for the characterization of the adsorbent. Factors affecting the adsorption of Pb2+ ion such as solution pH, adsorbent dosage, contact time, competing ion, and regeneration were investigated in batch mode by the NiCo‐LDHs‐rGO. Under optimized conditions based on the Taguchi method (pH = 5.0, adsorbent dosage = 20 mg, and contact time = 30 min), the highest removal percentage was found to be 99.7% for 100 mg L−1 of Pb2+. According to the results, NiCo‐LDHs‐rGO exhibited a high preference for Pb2+ over Cu2+, Zn2+, and Cd2+. This adsorbent was regenerated for several cycles (using 0.01 M HCl) with no significant deterioration in performance. Analyses of the adsorption isotherm models revealed that the adsorption of Pb2+ follows Freundlich isotherm with a maximum adsorption capacity of 200 mg g−1. Also, the kinetic data confirmed that pseudo second order kinetic equation is the best model for predicting the kinetics. Furthermore, the Simulink modelling illustrated that the adsorption kinetics of Pb2+ onto NiCo‐LDHs‐rGO is done with high accuracy in a continuous stirred‐tank reactor. Finally, dual interactions of the effective parameters can be modelled by polynomial equations in MATLAB, and according to the Taguchi model, pH is clearly the most important feature among all effective parameters.

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“…To subdue this problem, combinatorial Taguchi-GRA technique is implemented. GRA analysis can also be used calculating rough data of machining, flank wear [27,28]. The multi-response optimization of Lanthanum Hexa Aluminate powder is carried out using the GRA depicted in Figure 2.…”

Section: Grey Relational Analysis (Gra)mentioning

confidence: 99%

Optimization of Process Parameters for Preparation of Lanthanum Hexa-Aluminate Powders Using Combinatorial Approach of Taguchi-GRA and ACO Methods

Srividya¹,

Reddy²,

Prasad³

et al. 2023

ACSM

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This work focuses on selection of optimal process parameters for the preparation of Lanthanum Hexa-aluminate (LHA) nanoparticles using chemical precipitation and filtration process. Multi response optimization is performed using Taguchi-GRA combinatorial approach using the process parameters such as Temperature (A), Time (B) and Composition (C). The results showed that % composition has the largest effect on hardness, while the Calcination Temperature is the most important factor in ultimate compression strength. In GRA analysis, the combined effect of hardness and ultimate compression strength is considered and the optimum combination is identified (A1B2C2). The percentage of the contribution was most important factor affecting hardness performance (36.58%). Based on the GRA results a regression equation is generated and optimized using ACO technique followed by preparation and characterization of powders. For the powders, prepared FESEM/EDS analysis were done and observed that average grain size of the particle is 85nm.

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The Taguchi method

Cited by 42 publications

References 16 publications

Physical Modeling of Mold Slag Entrainment in Continuous Steel Casting Mold with Consideration the Impact of Mold Powder Layer

Physical Modeling of Mold Slag Entrainment in Continuous Steel Casting Mold with Consideration the Impact of Mold Powder Layer

One‐step hydrothermal synthesis of a green NiCo‐LDHs‐rGO composite for the treatment of lead ion in aqueous solutions

Optimization of Process Parameters for Preparation of Lanthanum Hexa-Aluminate Powders Using Combinatorial Approach of Taguchi-GRA and ACO Methods

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