Relating wear stages in sheet metal forming based on short- and long-term force signal variations

Journal of Intelligent Manufacturing - Tập 33 Số 7 - Trang 2143-2155 - 2022
Philipp Niemietz1, Mia J. K. Kornely1, Daniel Trauth1, Thomas Bergs2
1Laboratory for Machine Tools and Production Engineering (WZL) of RWTH Aachen University, Campus Boulevard 30, 52074 Aachen, Germany
2Fraunhofer Institute for Production Technology, Steinbachstraße 17, 52074, Aachen, Germany

Tóm tắt

AbstractMonitoring systems in sheet metal forming cannot rely on direct measurements of the physical condition of interest because the space between the die component and the material is inaccessible. Therefore, in order to gain further insight into the forming or stamping process, sensors must be used to detect auxiliary quantities such as acoustic emission and force that relate to the physical quantities of interest. While it is known that changes in force data are related to physical parameters of the process material, lubricant used, and geometry, the changes in data over large stroke series and their relationship to wear are the subject of this paper. Previously, force data from different wear conditions (artificially introduced into the system and not occurring in an industry-like environment) were used as input for clustering and classifying high and low wear force data. This paper contributes to fill the current research gap by isolating structural properties of data as indicators of wear growth to quantify the wear evolution during ongoing production in industry-like scenarios. The selected methods represent either established methods in sheet metal forming force data analysis, dimensionality reduction for local structure separation or generic feature extraction. The study is conducted on a set of four experiments with each containing about 3000 strokes.

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Journal of Intelligent Manufacturing

Tập 33 Số 7

2143-2155

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