Role of Silicon Dioxide Filler on Mechanical and Dry Sliding Wear Behaviour of Glass-Epoxy Composites

The mechanical properties and dry sliding wear behaviour of glass fabric reinforced epoxy (G-E) composite with varying weight percentage of silicon dioxide (SiO2) filler have been studied in the present work. The influence of sliding distance, velocity, and applied normal load on dry sliding wear behaviour has been considered using Taguchi's L9orthogonal array. Addition of SiO2increased the density, hardness, flexural, and impact strengths of G-E composite. Results of dry sliding wear tests showed increasing wear volume with increase in sliding distance, load, and sliding velocity for G-E and SiO2filled G-E composites. Taguchi's results indicate that the sliding distance played a significant role followed by applied load, sliding velocity, and SiO2loading. Scanning electron micrographs of the worn surfaces of composite samples at different test parameters show smooth surface, microploughing, and fine grooves under low load and velocity. However, severe damage of matrix with debonding and fiber breakage was seen at high load and velocity especially in unfilled G-E composite.

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Dry Sliding Wear Behaviour of Magnesium nanocomposites using Response Surface Methodology

Journal of Tribology ◽

10.1115/1.4051410 ◽

2021 ◽

pp. 1-18

Author(s):

Kartheesan S ◽

B. Shahul hamid Khan ◽

M Kamaraj ◽

Manoj Gupta ◽

Sravya Tekumalla

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Sliding Wear ◽

Wear Behaviour ◽

Design Parameters ◽

Dry Sliding Wear ◽

Wear Loss ◽

Sliding Velocity ◽

Sliding Distance ◽

Sliding Wear Behaviour

Abstract In this study, a pure magnesium material reinforced with 0.5, 1, 1.5, and 2 weight % of CaO was prepared through disintegrated melt deposition technique. Nanocomposites were investigated for their sliding wear behaviour in dry condition at room temperature. Amount of CaO, Load, sliding distance, and Sliding velocity were selected as input design parameters at their five-level in central composite design using Minitab 18.1 statistical software. The influence of design parameters on wear loss is reported through the Response Surface Methodology (RSM). ANOVA was used to confirm the soundness of the developed regression equation. The results indicate the contribution of linear, quadratic, and interaction terms of design parameters on response. 3D response surface and 2D contour plots are indicated the interaction effect. The result shows that an increase in sliding velocity contributes to a decrease in the wear loss of the composites because of the emergence of protective oxidative layer at the surfaces of the pins, which is confirmed through FESEM and EDAX analysis of the pin surfaces. Wear loss of the material decreased as amount of CaO increased. The ANOVA analysis concluded that the sliding distance and load contribute significantly to wear loss of the composites and their percentage of contribution is 64.02 % and 3.69%.

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Optimization of dry sliding wear parameters of recursive friction stir processed aluminium 7075 alloy

Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology ◽

10.1177/1350650120941615 ◽

2020 ◽

pp. 135065012094161

Author(s):

G Girish ◽

V Anandakrishnan

Keyword(s):

Electron Microscopy ◽

Wear Rate ◽

Sliding Wear ◽

Wear Testing ◽

Wear Behaviour ◽

Dry Sliding Wear ◽

Dry Sliding ◽

Sliding Velocity ◽

Friction Stir ◽

Sliding Distance

In this work, the dry sliding wear behaviour of recursively friction stir processed AA7075 was investigated using a pin-on-disc wear testing apparatus. The microstructure of the processed specimen was probed using optical microscopy, transmission electron microscopy and atomic force microscopy. Experiments were conducted using Taguchi experimental design by varying three different parameters like load, sliding velocity and sliding distance, and the analysis of variance was performed to identify the influence of the parameters over the wear rate. From the main effect plot, the combination of 9.81 N of load, 2 m/s of sliding velocity and a sliding distance of 2000 m was identified as the optimum levels that minimize the wear rate. The regression model was developed to calculate the wear rate, and the validation test was performed with the optimum parameter combination and compared with the experimental results. Wear tracks were examined using field-emission scanning electron microscopy to identify the type of wear mechanism.

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Dry Sliding Wear Behaviour of Titanium (Grade 5) Alloy by Using Response Surface Methodology

Advances in Tribology ◽

10.1155/2013/272106 ◽

2013 ◽

Vol 2013 ◽

pp. 1-9 ◽

Cited By ~ 21

Author(s):

S. R. Chauhan ◽

Kali Dass

Keyword(s):

Sliding Wear ◽

Normal Load ◽

Wear Behaviour ◽

Dry Sliding Wear ◽

Dry Sliding ◽

Sliding Speed ◽

Grade 5 ◽

Titanium Grade ◽

Sliding Distance ◽

Sliding Wear Behaviour

The dry sliding wear behaviour of titanium (Grade 5) alloy has been investigated in order to highlight the mechanisms responsible for the poor wear resistance under different applied normal load, sliding speed, and sliding distance conditions. Design of experimental technique, that is, response surface methodology (RSM), has been used to accomplish the objective of the experimental study. The experimental plan for three factors at three levels using face-centre central composite design (CCD) has been employed. The results indicated that the specific wear rate increases with an increase in the applied normal load and sliding speed. However, it decreases with an increase in the sliding distance and a decrease in the sliding speed. The worn surfaces of the titanium alloy specimens were analyzed with the help of scanning electron microscope (SEM), energy dispersive spectroscopy (EDS), and X-ray diffraction (XRD) techniques. The predicted result also shows the close agreement with the experimental results and hence the developed models could be used for prediction of wear behaviour satisfactorily.

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