Taguchi method to optimize the micron and submicron size cenosphere particulates filled E‐glass fiber‐reinforced vinylester composites

Abstract

In this work, the mechanical and tribological characteristics of E‐glass fiber‐reinforced vinylester composites have been investigated experimentally under dry sliding conditions. The E‐glass fiber‐reinforced vinylester composites with uniform micron and submicron size cenosphere particulates of three different sizes (2 µm, 900 nm, and 400 nm) had been prepared in the laboratory. In this work the effect of parameters such as applied normal load, particulate size, sliding speed, sliding distance and roughness on friction and wear behavior have been carried. A plan of experiments, based on the Taguchi design, was performed to acquire data in a controlled way. An orthogonal array L27 (313) and Analysis of variance (ANOVA) have been applied to investigate the influence of process parameters on the coefficient of friction (COF) and sliding wear behavior of these composites. It was found that the submicron size particulates 400 nm as filler contributed significantly to improve the mechanical properties and wear resistance of the composites. The experimental results indicate that the specific wear rate is greatly influenced by applied normal load and particle size. ANOVA results showed that the applied normal load significantly influence the specific wear rate of cenosphere filled glass fiber‐reinforced vinylester composites. Regression analysis is carried to check the suitability of the prediction equation and modeling of the wear parameters and the typical R2 values for COF and specific wear rate are 86.7 and 94.3%, respectively. The scanning electron microscopy are used clarify the experimental in the frictional and wear testing. POLYM. COMPOS., 35:775–787, 2014. © 2013 Society of Plastics Engineers

Parametric study and optimization of multiwalled carbon nanotube filled friction composite materials using taguchi method

“…The MWCNT filled friction composite materials have been evaluated for their tribo‐performance, based upon which the parametric optimization has been carried out using Taguchi analysis. Taguchi a powerful tool creates a standard orthogonal array to accumulate the influence of several factors on the target value and specify the plan of experiment . In present study, Taguchi method used to address the influence of various control factors and their levels on the tribological properties of fabricated friction materials in a pin on disc machine.…”

“…Thus, the experimental results for COF and W R are converted into S-N ratio by selecting, "higher the better" and "lower the better" characteristics, respectively. The S-N ratio has been calculated using following equations [38,40]:…”

The buckling strength of the new hybrid nanocomposite laminates using combination of layered and particulate nano fillers

“…23,34 The S/N ratio in the Taguchi method is measured by the deviation of a characteristic from its target value (Figure 3). 25 Table 6 shows the ANOVA results for S/N ratio. These results are based on the confidence level (a = 0.05) and the effect of each input parameter that identified by its probability value (p).…”

“…25 Furthermore, the S/N ratio was calculated which is the logarithmic function used to measure the performance of desired output. 26 The S/N ratio is chosen based on three characteristics: smaller-the-better, nominal-the-better, and larger-the-better.…”

“…The Taguchi method uses a number of orthogonal arrays based on the condition control factors and levels that help to investigate all the parameters with only a minimum number of experiments that leads to low cost and time. 25 Furthermore, the S/N ratio was calculated which is the logarithmic function used to measure the performance of desired output. 26 The S/N ratio is chosen based on three characteristics: smaller-the-better, nominal-the-better, and larger-the-better.…”