The aim of the article is focused on assessing the degree of end-of-life for the vehicle front suspension beam. The first stage of the problem taken was represented by a road test of the vehicle at distance expressed by 100.000 km. Following the end of the operation tests, the suspension beam was dismantled and subjected to laboratory tests. The tests demonstrated numerous beam top layer plastic deformations, which came into being as a result of the vehicle driving onto an obstacle on the roadway or onto raised road infrastructure elements. At the point of connection of the stabiliser rod to the beam, surface degradation was noted, which consisted in the considerable change of the surface profile, hardness reduction and the grey and dark brown colour. Corrosion regions and fretting wear traces were noted. Corrosion pits, scratches and material build-ups was observed. The analysis of the chemical composition of wear products demonstrated the presence of elements such as iron, oxygen, chlorine and silicon, as an effect of operational conditions.
Steering systems are one of the most important components of a car and have a direct impact on safety and driving comfort. Therefore, high reliability is required of them. One of the methods of object reliability estimation may be the grey system theory. This method can be used not only to calculate the number of failures, but also to calculate the wear of mating parts, and the vibrations of engines and rolling elements. This work presents the use of the grey system theory for the examination of motor vehicle steering system reliability. The forecast number of failures was calculated for the various components of the steering system and the grey system accuracy was assessed. This is aimed at finding out how useful this theory is for forecasting the number of steering system failures.
This paper contains a prognosis of vehicle insurance economic indices using the Grey System Theory. It has been prepared based on data provided by a certain insurance company. The following economic factors were analysed: number of insured vehicles, premiums income, amount of damage cases covered, and value of paid compensations. The results of this study indicate a reduction in all analysed indices over twelve months.
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