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Technical and industrial heritage artefacts are characterized by the presence of mechanisms. The possibility to activate, or reactivate, these mechanisms is an integral part of the cultural values of this kind of patrimony. The artefacts’ functionality, however, requires an effective diagnostic in order to detect the onset of malfunctioning at a very early stage to avoid wear and breakdowns. The assessment of moving mechanisms of heritage objects may be performed using non-destructive methods, such as acoustic emission (AE). The ACUME_HV project aimed at developing diagnostic and monitoring protocols for historical vehicles’ engines using AE techniques. The case studies were performed on 2-cylinders Renault AG1 vehicles (collection of the “Musée National de l’Automobile – Collection Schlumpf” of Mulhouse, France). These cars are maintained in working conditions, and their engines are started periodically. After a first phase consisting in recording the reference signals of the selected engines, the project focused on detecting faults simulated on purpose, the latter reproducing common failures occurring in historical vehicles' engines.

The tribo-electrochemical behavior of AISI 316L has been investigated under tribocorrosion conditions in a 3% NaCl solution and the material damage evolution with time has been analyzed. A numerical contact model based on a Boundary Element Method (BEM) has been developed in order to determine the contact pressure distribution and to quantify the worn material as a function of time. The time dependence of the tribological behavior of the material has been described. At the initial state, the high contact pressures generate a material flow causing an increase in the worn area. After around 300 cycles, the Archard wear model linearly describes the wear evolution with time. The proposed model describes the evolution with time of the wear profiles of the tested material and takes into account the plastic behavior of the material during the first cycles.

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