Defects detection from time series of cutting force in composite milling process by recurrence analysis
Krzysztof Ciecieląg, Krzysztof Kęcik, Kazimierz Zaleski
Abstract
The article presents possibility of defects detection from milling time series using nonlinear methods: recurrence plots and recurrence quantifications. The defects are modeled as the holes with different diameters and depths. This allows estimation of the minimal size of defect possible to detect. Based on the conducted research, it has been shown that some of the recurrence indicators enable detection of defects. These recurrence indicators have been tested on the reals damage. Additionally, we show influence of the defect depth on the recurrence indicator values.
Topics & Concepts
Series (stratigraphy)Materials scienceComposite numberNonlinear systemProcess (computing)Recurrence quantification analysisRecurrence plotComposite materialComputer sciencePhysicsBiologyQuantum mechanicsPaleontologyOperating systemAdvanced machining processes and optimizationMechanical Engineering Research and ApplicationsControl Systems in Engineering