| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5470376 | Procedia CIRP | 2017 | 6 Pages |
Abstract
This work presents an approach to determine relevant energy efficiency and productivity KPIs of machining processes based on a real-time interpretation of sensor data and machine control data. A comparison of the actual power consumption during machining with an energetic model of the load-free condition enables the calculation of energetic efficiency and primary processing time. The approach was tested on a CNC turning and milling center equipped with power meters and compressed air sensors. Sensor data as well as relevant machine control data are read, processed and recorded via SCADA software in order to automatically calculate certain KPIs.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Industrial and Manufacturing Engineering
Authors
Matthias Hacksteiner, Fabian Duer, Iman Ayatollahi, Friedrich Bleicher,