Computer modeling of fractal surfaces generated using artificial intelligence methods for wear prediction

Surface wear is the process of surface deterioration due to the effects of contact stresses. As а measure of damage or removal of material from а solid surface, wear can be thought of as the result of mechanical, thermal, and chemical action on the surface. When two rough, nominally f1at surfaces come close together, the roughness of the surface causes contact to occur in separate contact patches. The true contact area is the sum of the areas of the individual contact spots. For most metals under normal loads, it is only а few percent of the apparent contact area. Typical surface deformation patterns are either elastic, plastic, or elasto-plastic and can be represented as functions of surface and material constants. The proposed work considers the application of fractal models derived using artificial intelligence techniques for wear prediction to study the effect of fractal surface parameters on wear rate.