Machine Tool Data Analytics for Digital Twin and Machine Predictive Maintenance
Jag Prasad, Akash Tiwari, Karandikar, Jaydeep, Orlyanchik, Vladimir et al. · 2026
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Description
Akash Tiwari, Jaydeep Karandikar, and Vladimir Orlyanchik of Oak Ridge National Laboratory, with Chris Hamlin and Josh Davids of Scytec, wrote this CRADA final report, ORNL/TM-2026/4400, in January 2026. The project, numbered NFE-23-09833, built data analytics for machine tools. Goals were a digital twin, a live computer mirror of a machine, and predictive maintenance that warns before breakdowns.
Three data streams were combined: machine data over standard industrial protocols such as MTConnect and OPC-UA, an external vibration sensor, and the part program itself. Analytics worked at toolpath level, following the exact path of the cut. A modernized display gave operators real-time monitoring. The extra sensor data coordination with the controller computer widened what the analytics could see. Machine shops get a route to catch tool wear and faults early, instead of scrapping parts or losing spindle time.
Catalog record
| CREATOR | Jag Prasad, Akash Tiwari, Karandikar, Jaydeep, Orlyanchik, Vladimir et al. |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 13 KB |
| LICENSE | Public Domain |
| RIGHTS | PUBLIC DOMAIN |
| SOURCE | DOE OSTI |