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New Methodology for the Life Time Prediction of Wear Parts in the Mechatronic Systems

This paper is devoted to the elaboration and verification of the new methodology for the life time prediction of wear parts in the mechatronic systems. The methodology is based on the using of the 3D surface texture parameters instead of 2D roughness parameters for more precise prediction of the life time of machine parts.Experimental testing of proposed methodology for the wear parts of linear motion modules of mechatronic system was done using 3D profilometry, pin-on-disc tribological testing for determination dynamic friction coefficient, slidability and static friction coefficient measurements. The new approach for life time prediction is based on using following 3D texture parameters: Sa, Sq, Str, Rsm1 and Rsm2. It is established, that the amplitude and spatial parameters (Sa and Str (Rsm1) accordingly) have a most significant influence on the static and dynamic friction coefficient as well as on the sliding properties. It can be assumed, that for wear parts and for improving sliding properties the surfaces with less Sa and bigger Rsm1 are recommended.Within the Ti-based multi-layer PVD coatings the best prognosis for the life time was achieved for the samples with multi-layer Ti-TiN-Al PVD coating. Proposed methodology is acceptable for use in practice of engineering calculation, in design etc.