Prediction and optimization of tribological behavior of nylon composites using Taguchi analysis method

Abstract

wide range of engineering fields. This has the benefit of optimizing a number of experiments and essential variables. In this view, one of the most effective methods is the Taguchi method. The Taguchi technique is a powerful tool for acquiring the data in a controlled way and in analyzing the influence of process variable over some specific variable, which is an unknown function of these process variables [1, 2]. It is an easy and less time-consuming tool to evaluate variables in different engineering fields. Taguchi design of experiment method (DOE) is a statical technique for efficient collection of data for any type of applications. The Taguchi technique can be summarized by using either static or dynamic route. In static route, the optimization is reached by using one of these three signal-to-noise (S/N) ratios (smaller the better, larger the better, nominal the best). S/N ratio is delineated as the desired signal ratio for the undesired random noise value and presents the quality characteristics of the experimental data. In dynamic route, the optimization is achieved by using two S/N ratios (slope and linearity). In this method, the orthogonal arrays provide an alternative to standard factorial designs and the factors and the interactions are assigned to the array columns through linear curves. The Taguchi method has been applied in different fields. One of its application fields is in analyzing materials behavior. Some researchers [3-13] applied the Taguchi method to optimize and predict the tribological behavior of nylon composites. Campus et al. [3] investigated the drilling process of unreinforced polyamide 6 and 30 % glass-fiber-reinforced polyamide 6. They concluded that the quality of the holes can be improved by proper selection of cutting parameters. Kuram et al. [4] studied the effect of the number of recycles and injection parameters on the mechanical properties of glass-fiberreinforced nylon 6 using Taguchi method. They used the Abstract In this study, the tribological performance of graphite and wax filled nylon composites was predicted and optimized with the assistance of the Taguchi analysis method. Experimental data from our previous published work are handled. The experimental results are transformed into a signal-to-noise (S/N) ratio using the Taguchi method. This ratio presents the quality characteristics of the experimental results. Tribological performance of nylon 6 (polyamide 6) composites was predicted and optimized. The type of material, applied load, and sliding speed exert effects on the specific wear rate, at 85.06, 2.17, and 3.26, were obtained, respectively. Furthermore, the estimated S/N ratio using the optimum testing parameters for specific wear rate was calculated and a good agreement was observed between the predicted and experimentally determined values for a confidence level above 90.

Optimal Structure of Computer Numerical Control Grinding Machine Based on Finite Element Method Simulation and Sensor Technology

“…On the other hand, even if one introduces FEM to explore new machine structures in the design process, it still takes much time because too many simulation cases should be accomplished owing to the possible variation of each variable. A famous experimental method called "Taguchi's method" (17) was used to solve this problem, which can largely reduce the number of simulation cases and determine the effect of each controlled variable on the target variable. Moreover, to identify the simulation results, experiments of measuring the static rigidity of a machine via displacement sensors were performed.…”

Application of the Taguchi method for efficient studying of elevated-temperature incremental forming of a titanium alloy

“…Regarding the mechanical engineering, several researchers utilized the Taguchi method to reduce the number of experiments and the costs involved [4][5][6][7][8][9][10][11][12][13][14][15][16]. As an example, Pandivelan and Jeevanantham [16] used Taguchi method to study the effects of forming parameters on the surface roughness and formability of AA5052 alloy in incremental forming (IF) process.…”

Factors influencing the effect of attached mass on dynamic behavior of laminate composite plates using Taguchi technique

“…where n is the tests number and gi is the mean S/N ratio for the ith test [27]. The ANOVA results for the variation of natural frequency between plates composite with and without attached mass are shown in Table 12.…”