Лесотехнически Университет

Резюме

The paper describes the educational project ending in 2020, which is focused on increasing the quality of teaching and making the study more attractive by introducing new selective courses: CNC technology in bachelor study programs and Programming of CNC technology in engineering study programs at the Faculty of Technology of the Technical University in Zvolen, Slovakia. The solution of the project is also to create a background for building a CNC machining workplace. The article summarizes the educational machinery for teaching especially milling operations. Teaching programming takes place in professional CNC emulators that are commonly used in praxis. These emulators allow program debugging, tests, trajectory drawing and optimising and collision checking of tool and workpiece. Altogether 23 students successfully completed the introduced course. Within the project solution, 5 theses were defended.

Резюме

This article deals about the possibilities of obtaining information from a sawdust sample using the Matlab program. Using sawdust analyzing during chip machining, it makes it possible to determine unsuitable conditions by cutting and woodworking, such as dulling of the tool, unsuitable cutting conditions, overheating of the tool and others. Such conditions can have negative effects on the operation and economics of the company.

Commonly used sawdust sizing methods, such as sieving, obtain only partial information about a given sample. On the other hand, by means of image analysis of a sawdust sample, it is possible to find out much more, for example the largest and smallest dimension of each single particle, its circularity, area, perimeter, eccentricity, convex hull major and minor axis length, or color of the particle. For some other particle analysis methods, it is not appropriate to repeat the experiment with the same sample, because it may occur damage of the sample during the measurement. This can happen during sieving, where the sample is mechanically stressed and can crumble. In the image analysis, the sawdust is scattered on the substrate and a digital image of these sawdust is create. Therefore, there is no mechanical damage on the sample.