Tribological performance evaluation of polytetrafluoroethylene composites under dry sliding and aqueous environments using taguchi approach and grey relational analysis: Effect of material, test environment and load

Abstract

This study examined the friction and wear behavior of polytetrafluoroethylene composites filled with 25 wt% glass fiber, 25 wt% graphite and 60 wt% bronze under dry sliding conditions and under distilled water and sea water environments. Taguchi methodology was employed to plan experiments. The friction and wear experiments were conducted using a pin on disc tribometer at room temperature. Optimization of the chosen process variables (viz., material [M], test environment [E], and load [L]) for friction and wear was carried out using Taguchi approach and grey relational analysis. Further, the analysis of variance (ANOVA) technique was used to check the influence of various process parameters on average coefficient of friction (COF) and wear rate. It was revealed that test environment (E) is the most significant factor affecting the average COF and material (M) is the most significant factor affecting the wear rate. ANOVA of the grey relational grade of average COF and wear rate revealed that test environment (E) is the most significant factor that affects the average COF and wear rate. In order to understand the wear mechanisms, the worn surfaces were analyzed using optical microscopy and scanning electron microscopy. POLYM. COMPOS., 40:2863–2875, 2019. © 2018 Society of Plastics Engineers

Analysis of tribological behavior of medical-grade UHMW polyethylene under dry and lubricated conditions with human body fluids using Taguchi and GRA techniques

“…Taguchi approach being simple and systematic is used to optimize parameters, which includes design for cost, quality, and performance. 42,48,49 Various industrial experts and researchers have adopted Taguchi approach effectively to optimize their experimental studies. [43][44][45]50,51 In Taguchi method, deviation between measured and desired values is obtained by employing a loss function, which is then converted to a signal-to-noise (S/N) ratio.…”

“…[39][40][41] In some research studies, it has also been revealed that the control factors can also be optimized during the development and characterization of composite materials using Taguchi approach to achieve the desired results. 39,42 Taguchi technique is one of the optimization methods, which has been used on a wide scale. In this technique, the design of experiments is used to analyze the significance of processing parameters affecting the performance of the materials.…”

Experimentation and optimization of wear behavior on polytetrafluoroethylene composites using response surface methodology and bald eagle search optimization

“…Nowadays, several prediction approaches are also used to predict and validate the experimental outcomes. [39,40,41,42] Jebran et al [43] have optimized the wear and friction behaviors of glass, bronze, and graphite-filled PTFE composite. The experiment was conducted by varying the sliding conditions and working environment, and so forth.…”

Analysis of tribological behaviour of aluminum‐titanium carbide‐basalt metal matrix composite

“…The wear characteristics of 80 % silicon carbide + 20 % aluminum oxide hybrid metal matrix composite were varied depending on applied load and the relative ratio of silicon carbide and aluminum oxide [14]. Many researchers have used Taguchi based Grey relational analysis to optimize the multiple response characteristics [15][16][17][18][19][20]. In this work, an attempt has been to analyse the influence of reinforcement of titanium carbide and basalt in Al7075 on wear rate and coefficient of friction simultaneously using Grey-Taguchi method.…”