Modeling and optimization in tribological parameters of polyether ether ketone matrix composites using D-optimal design

Abstract

Fiber-reinforced polymer composites are nowadays used in numerous applications due to their good tribological, mechanical, and thermal properties. In the present investigation, the tribological behavior of polyether ether ketone (PEEK) and PEEK reinforced with glass fiber (GF) has been investigated using the pin-on-disk wear tester under dry sliding condition at different applied loads, speeds, and sliding distance. Modeling and optimization of tribological parameters is carried out using response surface methodology (RSM)-based D-optimal design. Tribological parameters such as load, sliding speed, and sliding distance are chosen as numerical factor, and the weight percentage of GF content is considered as the categorical factor. An experimental plan of four-factor (three numerical þ one categorical) D-optimal design based on the RSM is employed to carry out the experimental study. The wear performances of PEEK matrix composites are evaluated using the performance indicators such as specific wear rate and coefficient of friction. The morphologies of the worn surfaces are observed using scanning electron microscopy and atomic force microscopy.

Experimental investigation of wear of multiwalled carbon nanotube particles-filled poly-ether-ether-ketone matrix composites under dry sliding

“…1 Poly-ether-ether ketone (PEEK) is a high-performance, temperature-stable polymer that sees extensive use as an alternative for non-ferrous metal components in applications such as automotive, aerospace, medical, industries and so on. 2 PEEK shows reduced wear resistance and higher coefficient of friction (COF) leading to frictional losses because of which the usage of PEEK is widely restricted in applications. 3 It has been reported that reinforcing some fibres into PEEK has a beneficial effect on its strength and tribological properties.…”

“…4 One of the successful methods of further improving the properties of high-performance polymers such as PEEK further is using fillers. The fillers such as ceramic particles, 5 carbon-based particles, 6 glass and carbon fibres 7 and solid lubricants 2 were added for improvements in the friction and wear properties of the PEEK. Carbon nanotubes (CNTs) have attracted interest of the polymer composite researchers because of its tribological and mechanical properties.…”

Vegetable Oil based Biodegradable Refrigeration Oil - An Optimization of Tribological Characteristics Using D-optimal Design

“…For each response Y, a desirability function d(X) consigns numbers between zero and one to the possible values of Y. The objective of the desirability approach has to maximize the overall desirability D concerning the controllable factors [34]. Fig.…”

Modeling and evolutionary computation on drilling of carbon fiber-reinforced polymer nanocomposite: an integrated approach using RSM based PSO

“…Additionally, numerous authors have proposed the entry and exit delamination influence factors [18], and the thrust force [19][20][21], torque [22] and surface roughness [23,24] have been discussed. Moreover, using statistical techniques such as the Taguchi method [25,26], response surface methodology (RSM) [27,28], gray relational analysis (GRA) and corresponding hybrid methods [29][30][31] were proposed by many authors to obtain high-quality holes using drilling. Although many researchers widely used statistical optimization techniques to solve multiobjective optimization problems simultaneously, the solutions provided by the statistical techniques are often discrete combinations of a predetermined level of process parameters, and sometimes, these combinations may not be optimum.…”