Virtual sensor for monitoring the geometric and kinematic accuracy of machine tools
Research output: Contribution to journal › Conference article › Contributed › peer-review
Contributors
Abstract
The performance of machine tools depends on their working accuracy. The paper presents a new approach for in-process monitoring the geometric and kinematic accuracy of a machine tools. This approach utilizes a virtual sensor for capturing displacements at the tool center point (TCP). The virtual sensor is set up by using a data-driven approach based on extended transmissibility functions. The input data for monitoring are the NC internal data. The transmissibility functions are established via standard experimental procedures such as double ball bar (DBB) tests tests and estimation of frequency response functions (FRF). The data from the virtual sensor can be used for process monitoring and troubleshooting when launching a new process.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 98-103 |
| Number of pages | 6 |
| Journal | Procedia CIRP |
| Volume | 117 |
| Publication status | Published - 2023 |
| Peer-reviewed | Yes |
Conference
| Title | 19th CIRP Conference on Modeling of Machining Operations |
|---|---|
| Abbreviated title | CMMO 2023 |
| Conference number | 19 |
| Duration | 31 May - 2 June 2023 |
| Website | |
| Location | Karlsruher Institut für Technologie |
| City | Karlsruhe |
| Country | Germany |
Keywords
ASJC Scopus subject areas
Keywords
- Accuracy, Machine tool, Virtual sensor