Fuzzy Taguchi Method Research Articles

An improved Taguchi multi-criteria decision-making method based on the hesitant fuzzy correlation coefficient and its application in quality evaluation

This article is aimed at exploring an improved Taguchi SNR technique to settle the problem of multi-criteria decision-making (MCDM) in a hesitant fuzzy situation. Firstly, a novel correlation coefficient is defined under message from hesitant fuzzy sets and a weighted correlation coefficient proposed to deal with uncertainty. On that basis, several hesitant fuzzy correlation SNR measures are proposed in terms of the use of the weighted correlation coefficient. These measures cannot only avoid information distortion and omission, but are more sensitive when small datasets are used to reduce computational burden and reflect the correlation conflict in the process of information processing. Then, a hesitant fuzzy Taguchi method is proposed based on a novel weighted correlation coefficient which follows the principle of compromise such that the difference between the selected alternatives and the average solution is minimised to determine the optimal alternatives under the framework of the Taguchi method. The established method considers association conflict and provides a flexible and effective method for solving MCDM problems in a hesitant fuzzy environment. The implementation and the rationality process of the proposed method are demonstrated by an example pertinent to quality evaluation of tourism city development and compared outputs therefrom with four similar methods.

Optimization of awj process using fuzzy taguchi method for improving surface characteristics of silicon wafer

This study investigates the slicing capabilities and surface characteristics of Silicon wafer by optimizing the operation parameters of the Abrasive water jet machining process. Slicing carried out on single crystal pure silicon ingot in AWJM by using an abrasive particle of size 80 mesh. To optimize the AWJ operation parameters L9 Taguchi orthogonal array is used and compare the superficial feature like surface roughness, topography, and slicing rate using different input parameters like SOD, water jet pressure, and flow rate of abrasives. To know the significant slicing parameter, which impact in the surface finish of silicon wafer by ANOVA analysis and the empirical model of the slicing process is find by using a regression model, Further Fuzzy logic analysis used to predict the abrasive water jet machining process parameters with Mamdani fuzzy rules and Triangular membership function. SEM analysis is portrayed by the surface morphology of different mesh size machined on pure Si wafer.

Optimizing the beam-like structure of a vehicle body using the grey–fuzzy–Taguchi method

The static–dynamic performance of body-in-prime (BIP) which contains glass was improved by optimizing its beam-like structure parameters. An implicit parametric model of BIP was built using SFE CONCEPTTM, which is verified by a physical test. An L 32 (48) orthogonal array was applied to perform the design of experiments analysis. A hybrid method of the Taguchi technique, grey relational analysis and fuzzy logic was employed to determine the optimal combination of design parameters to improve the static-dynamic performance of BIP without considerably increasing weight. The grey–fuzzy–Taguchi and grey–Taguchi methods were compared to illustrate the advantage of the former method in improving the uncertainty of response parameters. Optimization results indicated that bending stiffness, torsion stiffness, first order bending natural frequency and first torsion natural frequency were improved by 16.70%, 10.13%, 5.57% and 5.95%, respectively, with 1.48% increase in BIP weight by using the proposed method.

Optimization of microridge punch design for deep drawing process by using the fuzzy Taguchi method

In recent years, metal components produced through die forming have decreased in size leading to challenges in drawing forming. In this study, an optimal microridge punch was designed using the robust multi-objective design in the fuzzy Taguchi method to enhance the formability of deep drawing process. Using a round, stainless steel cup measuring 2.5 mm in inner diameter and 0.1 mm in thickness, four punch microridge dimension parameters that influenced the thinning rate (TR) and stripping force (SF) during drawing forming were explored. The design performances of two objective functions, namely, the TR and SF, were assessed using the Taguchi method. The effect of the design parameters on the objective functions were verified using a factor effect analysis and an analysis of variance (ANOVA), whereas the measuring index of optimal multiple performance characteristics (MPC) was obtained using fuzzy logic inference. The analysis results showed that the dimension parameters that influenced TR and SF contribution, listed in descending order, were ridge gap (45.25%), ridge nose radius (40.86%), ridge-to-nose distance (11.18%), and ridge height (2.71%). The optimal values were subsequently used to design and produce drawing dies and an experiment was performed to verify their effectiveness. The experiment result showed that the optimal ridge punch drawing distance reached 1.542 mm, which was an increase of 55.60% compared with the drawing distance of non-ridge punch (0.993 mm).

SMED methodology based on fuzzy Taguchi method

PurposeThere can be activities that cannot reduce times by conventional single minute exchange of die (SMED) tools. In this case more advanced tools are needed. The purpose of this paper is to integrate the fuzzy Taguchi method into the SMED method in order to improve the setup time. The reason for using fuzzy logic is the subjective evaluation of factor’s levels assessment by experts. Subjective assessment contains a certain degree of uncertainty and is vagueness. The fuzzy Taguchi method provides to determining optimal setup time parameters in an activity of SMED. So it is possible to reduce time more than the conventional SMED method.Design/methodology/approachIn this study, the SMED method and the fuzzy Taguchi method are used.FindingsIn this study, it has been shown that the setup time is reduced (from 196 to 75 min) and the optimum value can be given at the intermediate value by the fuzzy Taguchi method.Originality/valueIn this limited literature research, the authors have not found a study using the fuzzy Taguchi method in the SMED method.

Analysis on Multi Responses in Face Milling of Ammc Using Fuzzy-Taguchi Method

In this paper, Fuzzy-Taguchi Method has been used to identify the optimal combination of influential factors by analyzing the multi responses in the face milling. Milling experiment has been performed on AMMC (Aluminium Metal Matrix Composite), according to Taguchi orthogonal array (L27) for various combinations of influential parameters: speed, feed, depth of cut and coolant. Fuzzy logic is applied for the analysis of experimental response data of vibrations, temperature, surface roughness and resultant forces. The Fuzzy grade is calculated from this data and Fuzzy grade is optimized using Taguchi method in order to get the optimal parameter values, and also influence of parameters on individual responses is studied using Taguchi S/N ratio analysis. This work is useful for analysis of machining parameters in face milling.

An Optimal Study of a Gripper Compliant Mechanism Based on Fuzzy-Taguchi Method

In this paper, a gripper mechanism with two flexible elements for grasping the objects was investigated. In general, to achieve the good the flexibility and the life strength, the flexible hinges often offer the highest elastic energy store while the lowest stress concentration is also required simultaneously. Therefore, to handle this multi-objective optimization problem, this study used the fuzzy logic based Taguchi method. The two input parameters, namely a vertical force and a horizontal force that primarily influence the displacement and the stress. These were controlled with regard to two-objective functions as the torque of torsional spring and the stress. In addition, formulating two-objective functions was based on the procedure of a pseudo-rigid-body model (PRBM) and the principle of virtual work. The results found that a vertical force of 0.5 lb and a horizontal force of 0.4 lb are favorable parameters for a suggested gripper. Using ANOVA, the results also revealed that a vertical force is the most significant parameter with highest F value of 1.188.

Optimization of Multiresponse Performance Measure in Slider-Rocker Compliant Mechanism Using Fuzzy-Taguchi Method

This paper focuses on the application of fuzzy logic-Taguchi method for multi-objective optimization of the flexible segment in slider-rocker compliant mechanisms. The input parameters such as input torque and crank angular are optimized with considerations of the multiple performance measures as angular displacement and stress of the flexible segment. The results found that the input torque at level 3 of 60 Nm and crank angular at level 1 of 70 degrees are favorable parameters for compliant flapper mechanism. Based on analysis of variance (ANOVA), the results revealed that input crank angular is the most significant with hightest contribution of 48%.