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The mechanism of enhancing the mechanical and tribological properties of polytetrafluoroethylene (PTFE) via the addition of nano-ZrO2 was investigated by virtue of molecular dynamic (MD) simulation from an atomic level. The MD was used to explore stretch and break of molecular chains for understanding the inherent mechanism of nanocomposites. The results found that elastic modulus of PTFE and PTFE/ZrO2 were 1.42 GPa and 6.43 GPa, respectively. The average friction coefficients of PTFE and PTFE/ZrO2 were 0.168 and 0.113, respectively. Compared to PTFE, the friction coefficient of PTFE/ZrO2 decreased by 32.7%. To explore the microscopic friction mechanism, the radial distribution function, atomic concentration, and atomic velocity were simulated and interpreted accordingly during the tribological process. [ABSTRACT FROM AUTHOR]

In this article, thermosetting polyimide (TPI) composites based on two ideal ingredients (graphite/graphene‐like carbon nitride, g‐C3N4) were designed with different fibers and their tribological performance was comprehensively investigated at different high temperatures. It was found that the synergistic effect between solid lubricants graphite blended with g‐C3N4 and reinforced fibers on friction and wear performance. Extremely lower friction and wear behavior of TPI composite is attained with aramid pulps (APs) at high temperatures. More importantly, an obvious transition of wear rate and friction took place with aramid pulps under 200°C. When the cross‐sections of the transfer films were analyzed using focused ion beam transmission electron microscopy (FIB‐TEM) and X‐ray photoelectron spectroscopy (XPS), it was found that graphite and g‐C3N4 combined with APs led to simultaneous improvement in load‐carrying capability of TPI matrix and durability of tribofilms subjected to complex physical and chemical reaction. Our work discloses a route for developing the TPI composite exposed to high temperatures with extremely lower friction and wear rate. [ABSTRACT FROM AUTHOR]

A multiscale functional filler of micro–nano synergetic structure was successfully prepared via in‐situ growth of silica (SiO2) on biomimetic dopamine modified carbon fiber (CF) surface. The CF‐SiO2 hybrid as a reinforcement possessed lubricating and reinforcing effect to enhance tribological performance, thermal stability and thermomechanical property of epoxy (EP) composites. The micro–nano synergetic structure was of great importance for ameliorating the compatibility and interfacial adhesion between CF and EP matrix, which was conductive to transferring stress from matrix to fiber and alleviating stress concentration. It was concluded that the friction coefficient and wear rate of EP/CF‐SiO2 were 0.382 and 1.12 × 10−5 mm3/N·m, that is, a decline of 58% and 2.5 times, respectively, compared to EP/CF. The CF‐SiO2 hybrid exhibited excellent friction‐reducing and anti‐wear performance. [ABSTRACT FROM AUTHOR]

ABSTRACT In this work, a glass fiber reinforced polytetrafluoroethylene (PTFE)-based friction material with good properties for ultrasonic motor was fabricated. The effects of temperature and vacuum degree on the tribological behavior of the PTFE-based friction material were investigated; the evolutions of friction-wear modes and mechanisms were also discussed as function of temperature and vacuum degree. The results show that the delamination and fatigue wear are predominant under the effects of repeated shearing and dynamic contact under atmospheric environment. While wear mechanisms change from adhesive to abrasive and fatigue wear as it is cooled from 30 to −60 °C at vacuum environment. Under high vacuum, adhesive wear was prone to taking place at room temperature for high frictional heat which increased the wear rate and extended the running-in period. Experiment shows that the highest no-load speed, output power, and holding torque of ultrasonic motor at room temperature under atmospheric environment are 220 rpm, 9.9 W, and 1.21 N m, respectively. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2017, 134, 45358. [ABSTRACT FROM AUTHOR]

ABSTRACT The polyimide (PI) composites reinforced with carbon fibers, glass fibers, and aramid fibers were fabricated by means of a hot-press molding technique and irradiated by electron or proton for a certain time. The friction and wear behavior after irradiation, sliding against GCr15 steel balls, were evaluated in a ground-based simulation facility using ball-on-disk tribosystem. The change of the chemical composition of the radiated surface was examined by X-ray photoelectron spectroscopy. The worn morphologies and radiated surfaces of the materials were observed by scanning electron microscope to reveal the wear mechanism. Experimental analysis indicated that the chemical composition of the materials changed and an irradiated layer was formed at the surface. This irradiation layer had an important effect on the friction and wear behavior of the PI composites. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2014, 131, 40774. [ABSTRACT FROM AUTHOR]

In this article, the relationship of complexity, diversity, and uncertainty between components and tribological properties of friction materials based on a Monte Carlo‐based artificial neural network (MC‐ANN) model was predicted precisely. Meanwhile, the grey relational analysis was applied to figure out weight of factors, optimize formulation design, and calculate nonlinear dependency of ingredients. The accuracy of model was studied by comparing experimental and simulated values on the basis of statistical methods (root‐mean‐squared error). It was found that the model exhibited an excellent performance in predicting and fitting effect. Moreover, comprehensive analysis of weight indicated that nano‐SiO2 and mica exerted a significant role in improving the friction stability and wear resistance. According to different contents of each ingredient, the corresponding friction coefficient and specific wear rate could be obtained by virtue of a well‐trained MC‐ANN model without experiments, which saved a lot of time and money. It can be expected that the results of this work will extend the current research and pave a route for further in‐depth studies of friction materials. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47157. [ABSTRACT FROM AUTHOR]

The tribological properties of materials exhibit a complex and non-linear correlation under varying operational conditions. Therefore, prioritizing a data-driven approach to predict service capability for accelerating material design and preparation is imperative in advancing tribology. The investigation was conducted to analyze the tribological performance and wear mechanism of PTFE composites. The machine learning (ML) approach was concurrently employed to predict tribological properties under diverse operational conditions. The gradient boosting regression (GBR) model demonstrated excellent predictive performance, with R2 of 82% and 91% for the friction coefficient and wear rate, respectively. Furthermore, Pearson correlation coefficient indicated that temperature and speed has a greater impact on friction coefficient and wear rate when compared to load. • The gradient boosting regression (GBR) model demonstrated outstanding predictive performance. • Pearson correlation coefficient indicated that temperature and speed had a greater impact. • With the increase in speed, the friction coefficient and wear rate exhibited a decreasing trend. [ABSTRACT FROM AUTHOR]

The friction coefficients of composites prepared by traditional fillers and structure design are usually uncontrollable, which gradually cannot meet the requirements of intelligent response behavior in the modern manufacturing industry. Hence, an epoxy, graphene oxide, and paraffin wax composite (GPEP@ PW) with a network-like sandwich structure was prepared by a four-step method (template method-vacuum impregnation-de-template-vacuum impregnation). Due to sensitive photothermal conversion of GO and excellent ability to control heat (absorption and release) of paraffin wax, GPEP@ PW can respond to near-infrared light to realize the real-time conversion of friction coefficient (0.052 and 0.062), while the wear rate was reduced by two orders of magnitude rate (10−4 to 10−6 mm3/N·m). The light response behavior of tribology under different near-infrared intensities was studied. This strategy is simple and versatile, providing a new idea for the design and preparation of light stimulus-responsive materials to achieve smart tribological properties. [Display omitted] • Ternary hybrid composite with 3D sandwich structure was prepared by a four-step method. • Real-time controllable friction was achieving by structural functionalized photothermal conversion of GO. • The COF changed between 0.052 and 0.062 with NIR switching on and off. • Extremely low wear rate (3.33 × 10−6 mm3/N.m) was got by synergy in GO and paraffin wax. [ABSTRACT FROM AUTHOR]

Two ways to enhance conversion efficiency of the ultrasonic motor (USM) were developed. According to mechanical and tribological properties, an advanced polyimide (PI) friction material was fabricated. In comparison to conventional polytetraflfluoroethylene (PTFE) friction material, the novel PI friction material enhanced efficiency from 29% to 44%, an improvement of 51.7%. The results indicated high friction coefficient and high elastic modulus were essential for improving efficiency. Inspired by the unique topography, the micro-dimples were introduced into PI friction material which improved the efficiency from 44% to 53%, an increment of 20.5%. The optimum parameter was diameter of 200 μm and area density of 7%. The effect of surface texture on tribological behavior and output characteristic of the USM was comprehensively explored. • The advanced PI friction material and the surface texture enhance efficiency from 29% to 53%, an increase of 82.8%. • High friction coefficient and high elastic modulus are the main reason for improving the conversion efficiency of the USM. • The surface texture enhance the efficiency of the USM because of increased tangential frictional force. [ABSTRACT FROM AUTHOR]

The poor interfacial compatibility between functional fillers and matrix greatly restricts development of polymer composites. Therefore, in the present paper, carbon fibers (CFs) were modified by biomimetic polydopamine (PDA) and amino silane (KH550) to improve interfacial bonding strength with epoxy (EP) substrate. The grafting of PDA and KH550 was divided into "PDA", "PDA-KH550" and "(PDA + KH550)" methods for regulating interfacial compatibility and exploring the reaction mechanism. Improved interfacial strength was beneficial to transfer stress from the matrix to fillers. Consequently, mechanical properties of modified CF/EP were obviously superior to those of unmodified EP/CF. Besides, wear resistance of EP/CF-(PDA + KH550) had an increase of 76%, 67%, 60% and 49% compared to that of EP, CF/EP, CF-PDA/EP and EP/CF-PDA-KH550. Image 1 • PDA and KH550 were used to regulate interfacial compatibility of CF and EP. • The different reaction mechanisms of PDA and KH550 were explored. • The tribological mechanism of modified CF/EP were systematically analyzed. • "CF-(PDA + KH550)" method significantly improved simultaneously the mechanical properties and wear resistance. [ABSTRACT FROM AUTHOR]