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    Investigation of Wear Behavior of Aluminum Alloy Reinforced with Carbon Nanotubes
    (2014) Uzunsoy, Deniz; Peng, T.; Chang, I.; Istif, I.
    The material demands for advanced technologies have led to development of new generation, light-weight, and multi-functional materials. Aluminum matrix composites (AMCs) have captured considerable attention in aviation, space and automotive industries in recent years. Carbon nanotubes (CNT) are one of the most promising candidate of reinforcements used to improve mechanical strength and hardness of metal matrix composites (MMCs). In this study, dry sliding wear behavior of aluminum (Al) matrix (MMCs) reinforced with different amounts (0, 0.5, 1 and 2 wt%) of CNTs were prepared through ball milling, the process was followed by compaction at room temperature and pressureless sintering at 630 °C under argon atmosphere for 1hr. Wear tests were performed on a pin-on-disk tribometer against SAE 1040 steel counter body under constant load and sliding speed at room temperature. Worn surfaces of composites were characterized by scanning electron microscopy (SEM) technique in order to identify dominant wear mechanism of the as-produced composite materials. Preliminary result of this study showed that the composite displayed lower wear rate and friction coefficient under mild wear conditions comparing to aluminum alloy without reinforcement. © 2014 SAE International.
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    Prediction of wear behavior of aluminum alloy reinforced with carbon nanotubes using nonlinear identification
    (SAE International, 2014) Istif, I.; Isin, O.; Uzunsoy, Deniz; Peng, T.; Chang, I.
    Aluminum metal matrix composites reinforced with particulates have attracted much attention in the automotive industry, due to their improved wear resistance in comparison to aluminum alloys, in recent years. The wear behavior is the critical factor influencing the product life and performance in engineering components. Carbon nanotubes (CNT) are one of the most promising candidates of reinforcements used to improve mechanical strength such as wear in metal matrix composites (MMCs). However, in industrial applications, wear tests are relatively expensive and prolonged. As a result, for several years, research has been increasingly concentrated on development of wear prediction models. In this study, prediction of wear behavior of aluminum (Al) matrix (MMCs) reinforced with different amounts (0, 0.5, 1 and 2 wt%) of CNTs was investigated. A nonlinear autoregressive exogenous (NARX) model structure was chosen for the modeling. The wear load was considered as the input parameter, whereas the wear rate and friction coefficient as the output parameters. Simulations using the identified models were compared with experimental results and it was found that the modeling of wear process was satisfactory. Copyright © 2014 SAE International.