Prediction and experimental determination of their wear properties has become very important. Experimental determination of life parameters in terms of wear has both a cost and time impact. Therefore, the ability to predict wear at the development stage enables the designers to come up with a better design, longer useful life and more reliable products.Despite the marked interest, the simulation of wear is still in its early stages due to its complexity.In this work, an experimental programme on a pin on disk test on Al-Mg-Si/Al2O3 nanocomposites and the corresponding unreinforced alloy was carried out at different loads and sliding distances.In order to predict wear and eventually the life span of such materials, several hundreds of thousand operating cycles have to be simulated. An FE post processor is the most optimum choice considering the computational expense of such large deformable-deformable contact simulations. Our approach is to include a wear model based on Archard’s wear law in a FE post-processor that works in association with commercial FE package ANSYS for solving the general deformable-deformable contact problem. Local wear is computed and then integrated over the sliding distance using the Euler integration scheme. After every wear step the geometry is re-meshed to correct the deformed mesh due to wear. The wear on both the pin and disc surface are computed using the contact pressure distribution computed from a two dimensional FE model of the pin and disk included Coulomb friction at the contact. The simulation was validated from a series of experiments. Experiments were conducted on a POD rig to measure the friction coefficient as well as the wear depth, two parameters needed for the simulation. In general, good agreement with the experimental results was observed under tested conditions of contact pressure and sliding speed.Morever, this paper deals with preparing Carbon Nanotube Reinforced Nanocompositeand predicting its mechanical and surface properties using the finite element method. To prepare the reinforced nanocomposite, a pre-alloyed powder was milled in a planetary ball mill under the argon atmosphere. Carbon nanotubes were then added to the powder in a particular procedure. Next, a finite element model consisting of CNTs as the fibers and Aluminium as the matrix was constructed.A series of nano-indentation tests were carried out to obtain the mechanical and surface properties of the material thus constructed. The finite element models were then used to predict the results obtained from real indentation tests.The predicted hardness and elastic modulus from the FE model show good agreement with experimental findings. Keywords: Wear modeling, Wear simulation, Pin on disk, FEA, Aluminum-based metal matrix nanocomposite
