Real Time Monitoring of the CNC Process in a Production Environment- the Data Collection & Analysis Phase
Mirosław Nejman , Jonathan Downey , Denis O'Sullivan , Sebastian Bombiński , Paul O’Leary , Ramesh Raghavendra , Krzysztof Jemielniak
AbstractFor many years there has been considerable research from both an academic and industrial perspective into the monitoring and control of CNC machining processes, and progress has been well documented. It is widely acknowledged within the CIRP community that collection of information into the performance of material cutting processes is a worthwhile research topic, and this is mirrored in the work of the Scientific Technical Committee-Cutting (STC-C) and other Scientific Technical Committees. This work has been continued by the consortium engaged in the REALISM project, an EU-FP7 funded project which is investigating the use of sensor fusion in a real time production environment, to monitor CNC tool wear through the use of three sensor technologies- Force, Acoustic Emission and Vibration. However, the real work of the project consortium will be in the analysis and interpretation of the data from the collated fusion of the deployed sensors- and the intelligent interrogation of this sensor information. The sensor deployment strategy of this project was outlined in a presentation, poster and paper presented at the 2014 CIRP ICME conference and this current paper provides an update on the ongoing work. An overview is provided in this paper of the challenges that have been overcome as part of the REALISM project, and a brief overview of the initial verification trials that were undertaken on the deployment of the sensors. Further results will also be presented that show promising initial sensor data, which shows conditions leading to Catastrophic Tool Failure (CTF).
|Journal series||Procedia CIRP , ISSN 2212-8271|
|Publication size in sheets||0.5|
|Keywords in English||Machining; Tool wear monitoring; Process control; Catastrophic tool failure|
|Score|| = 0.0, 31-01-2020, ArticleFromJournal|
= 5.0, 31-01-2020, ArticleFromJournal
|Publication indicators||= 11|
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