W niniejszym referacie autorzy podjęli próbę wykorzystania nowego układu firmy ARM oraz skanera 3D do budowy układu diagnostycznego. Ze względu na posiadane laboratorium badania były wykonywane na przekładniach walcowych. Model 3D otrzymany z badań diagnostycznych porównano z wzorcem. Analiza wyników prowadzona była przy wykorzystaniu systemu Inventor oraz Catia. Ponadto podjęto próbę zastosowania metody magnetycznej pamięci materiału do oceny stanu powierzchni.
The paper presents an attempt at using ARM units and 3D scanner to build a diagnostic model. The studies were performed on cylindrical gears due to the existing laboratory conditions. As shown in [1, 2, 3], possible damages which may occur during the element cooperation are fatigue crack propagation, pitting, scoring, etc. As long as the break and scoring immediately exclude the machine from further work at once, its further use will depend on the assessment of pitting. What should be taken into account is the fact that the main aim is to obtain a digital/numerical surface model of the real object as close to the original one as possible. This was achieved by scanning the product surface. The next step resulted in obtaining a discrete object representation in the form of a point cloud (Fig. 3a). By connecting the points with lines, the triangle mesh commonly referred to as a polygonal surface was obtained (Fig. 3b). The method is laden with errors resulting mainly from the measurement precision and adjustment correctness. The wheel model obtained is compared with the model generated by means of the own processor . The material magnetic memory method is used as a new tool for fast diagnosis of machine elements. The method is widely used in industry, e.g. thermal-electric industry. The authors made an attempt at applying the method to determining the surface condition of the cooperating toothed wheels.