SmartEmma

ANR project ANR-16-CE10-0005 from April 2017 to October 2021

The objective of the SmartEmma project is to develop innovative smart and connected machine-tool for High Speed Machining (HSM). Signals from close to the process instrumentation and from the connection to the CNC (Computer Numerical Control) of the machine-tool are collected in a process database. Research will be carried out to define criteria and methods for data analysis, in order to improve HSM process efficiency in a context of Factory of the Future. Depending on the temporal horizon, smart adaptive machine-tool will result from real-time analysis, enabling the detection of incidents and the modification of the operating conditions. Indeed, modern CNC machines-tools are very performant for following at high speed and accuracy the toolpaths of the G-code, programmed at CAM level; but they have no idea whether the process occurs normally or not. In this way, the machine will become intelligent. Besides, new HSM process knowledge and efficiency will result from Knowledge Discovery in Database (KDD) and Data Mining, which is innovative. Indeed, real industrial process data is the most relevant one; however it has never been massively collected and analyzed in HSM before. An expert system will be developed for fault diagnosis, process optimization and solution proposal, relying on the HSM process database. Decision making will be enabled by the connected CNC machines, creating a new part of the Internet of Things (IoT) in a machining shopfloor. The efficiency of HSM company will also be improved by the results of automated analysis of process database, that will provide relevant information to many departments of the company (notably design, process improvement, quality, process planning, and maintenance

External_link = http://smartemma.ls2n.fr/

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Catherine da Cunha
Full Professor of Industrial Engineering