This paper presents the results of experimental study of the AZ31 magnesium alloy milling process. Dry milling was carried out under high-speed machining conditions. First, a stability lobe diagram was determined using CutPro software. Next, experimental studies were carried out to verify the stability lobe diagram. The tests were carried out for different feed per tooth and cutting speed values using two types of tools. During the experimental investigations, cutting forces in three directions were recorded. The obtained time series were subjected to general analysis and analysis using composite multiscale entropy. Modelling and prediction were performed using Statistica Neural Network software, in which two types of neural networks were applied: multi-layered perceptron and radial basis function. It was observed that milling with high cutting speed values allows for component values of cutting force to be lowered as a result of the transition into the high-speed machining conditions range. In most cases, the highest values for the analysed parameters were recorded for the component Fx, whereas the lowest were recorded for Fy. Additionally, the paper shows that a prediction (with the use of artificial neural networks) of the components of cutting force can be made, both for the amplitudes of components of cutting force Famp and for root mean square Frms.
The article has a theoretical and empirical character. It analyses ways in which the case study method is used for tertiary education in the field of economics. The problem is verified on the basis of literature and the results of a questionnaire survey addressed to students of economics and related fields of study.
PL
Artykuł ma charakter teoretyczno-empiryczny. Podstawowym celem jest analiza wykorzystania studiów przypadku w nauczaniu przedmiotów ekonomicznych. Problem badawczy jest zweryfikowany na podstawie literatury przedmiotu oraz przeprowadzonych badań ankietowych wśród studentów kierunków ekonomicznych
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