Integrated System for Intelligent Monitoring of Accuracy and Repeatability on Numerically Controlled Machine Tools Supported by Machine Learning Techniques
Fragment książki (Rozdział monografii pokonferencyjnej)
MNiSW
20
Poziom I
| Status: | |
| Autorzy: | Sałamacha Daria, Józwik Jerzy, Leleń Michał, Tomiło Paweł, Barszcz Marcin, Mika Dariusz |
| Dyscypliny: | |
| Aby zobaczyć szczegóły należy się zalogować. | |
| Wersja dokumentu: | Drukowana | Elektroniczna |
| Język: | angielski |
| Strony: | 634 - 638 |
| Web of Science® Times Cited: | 0 |
| Scopus® Cytowania: | 0 |
| Bazy: | Web of Science | Scopus |
| Efekt badań statutowych | NIE |
| Materiał konferencyjny: | TAK |
| Nazwa konferencji: | 12th International Workshop on Metrology for AeroSpace |
| Skrócona nazwa konferencji: | 12th MetroAeroSpace 2025 |
| URL serii konferencji: | LINK |
| Termin konferencji: | 18 czerwca 2025 do 20 czerwca 2025 |
| Miasto konferencji: | Naples |
| Państwo konferencji: | WŁOCHY |
| Publikacja OA: | NIE |
| Abstrakty: | angielski |
| The paper presents the results of measurement errors in the position of the kinematic center of the rotary axes of five-axis machine tools with a tilting rotary table, using the modern R-Test calibration system. The use of the system was the basis for obtaining experimental data enabling the assessment of changes in the position of the kinematic center of the rotary axes of the tested machine tools. The estimation was made based on the statistical analysis of the obtained measurements. The measurements made it possible to determine the position errors of the rotary axes A, B, C in the Y-Z, X-Z, X-Y planes and the average values of the deviation of the reference ball in specific axes of the machine tools. The parameters of the reference ball deflection in the machine tool space were simulated using 3 models – the MLP, KAN and MOGP. The simulation results showed that the MOGP model performed best in estimating the deviation parameters. Moreover, the MOGP model achieved the best values in all metrics compared to other tested models. Based on the obtained research results, an expert system will be built to supervise the operation of machine tools, enabling the acquisition of knowledge about the technical condition of CNC machine tools. |
