Statistical analysis of experimental data obtained in wear experiences of dental mills
2020
Saracin, A., University Politehnica of Bucharest (Romania) | Cardei, P., National Inst. of Research-Development for Machines and Installations Designed to Agriculture and Food Industry, Bucharest (Romania) | Voicu, G., University Politehnica of Bucharest (Romania) | Filip, I., University Politehnica of Bucharest (Romania)
In this paper we present elementary results of the statistical study by interpolating the experimental data obtained in working experiences with dental mills. The results of the polynomial interpolation of the experimental data leading to polynomial functions that approximate well the dependent parameters of the experimental program are presented. The polynomial interpolation functions can be used to describe the process of wear of the milling cutters only during the experimental working range. Extrapolations do not give satisfactory results. For this reason, there is also a type of interpolation based on controlled functions for large values and null values of the arguments. These interpolation functions, based on an exponential component, are based on physical hypotheses with origins in experiments. The behaviour of these interpolation functions allows the extrapolation of the results. Within this interpolation process, the transition from two independent experimental parameters to one is defined, also reciprocally. Thus, interesting conclusions are drawn regarding the phenomenon that causes wear and which is not the time.
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