Ilyas Istif

Dry sliding wear behavior of aluminum graphene nanoplatelet (GNP) composites

Abstract Conventional aluminum (Al) and its alloys have been replaced by aluminum matrix composites (AMCs) due to their superior properties in the recent years. There are several attractive candidates as reinforcement for aluminum composites such as Al2O3, B4C and SiC. Nowadays, carbon based materials such as graphite, carbon nanotubes (CNTs) and graphene have attracted much attention owing to their above mentioned mechanical and physical properties. In this study, the wear behavior of Al graphene nanoplatelets (GNPs) composites reinforced with up to 2 wt.-% GNP were investigated. The addition of graphene up to 1 wt.-% decreased coefficient of friction. Experimental data were used to develop linear and nonlinear models. The experimental results are in good agreement with the results of the simulations based on the identified models.

Non-Linear Modelling of PM Brake Lining Wear Behaviour

Abstract The brake friction materials in automotive brake systems play an important role in the overall braking performance of a vehicle. Wear test results have previously been presented for a 1040 steel disc interacting with a PM copper-based brake lining material without and with MoS2 additive at constant applied load and sliding velocity. In this paper, a non-linear model has been developed and compared with a previously developed linear model and experimental results. Nonlinear ARX model structure with sigmoid network having one hidden layer was used to find the best possible results. Linear and non-linear approaches have been applied to simulate the wear behaviour of the brake lining material. Comparative results showed that the nonlinear model provides results closer to the experimental study. Therefore, non-linear process modelling can be used as an effective tool for the prediction of brake lining material properties instead of time-consuming experimental processes.

Linear Model for PM Brake Lining Material Wear Behaviour

Abstract This paper presents a linear model for the dry sliding wear behaviour of a PM copper based brake lining material with the addition of MoS2. The model was based on experimental results related to standard pin-on-disk wear tests of the brake material with various MoS2 contents at constant applied load and sliding velocity. The wear load was considered as the input parameter, whereas the wear rate and friction of coefficient as the output parameters. The predicted results were compared with experimental results by simulating a linear process for each MoS2 content of the material, and it was found that the results obtained from such linear process modelling were satisfactory. The results showed that the linear process model represents an useful tool for the prediction of the brake lining material properties, and that it is more effective than timeconsuming experimental procedures.