Strong presence of predictive maintenance technologies in Bilbao’s international machine-tool definition
Held in Bilbao from 28th May to 1st June, the 29th edition of the Machine-Tool Biennial (BIEMH) gathered a total of 40,000 people, representing a clear success and a gradual industrial recovery indicator. Predictive maintenance has constituted a trending topic (as Industry 4.0 pillar) within the fair, specifically threated by MIC (Maintenance Innovation Conference), playing several MANTIS partners (FAGOR Arrasate, IK4-Ikerlan, IK4-Tekniker) a key role during the BIEMH. Specifically related to maintenance, FAGOR Arrasate presented the wide range of applications and services derived from the advanced connectivity their products bring in (e.g. check of operating functions and potential machine utilization improvements).
Moreover, DANOBAT Group (belonging to MONDRAGON Corporation) presented Dynamics Active Stabilizer, a device capable of actively increasing the dynamic rigidity of the machine tool, reducing the risk of chatter during the machining process and thus increasing the cutting capacity by up to 300%. This represents a clear example of how process data real-time processing (and analysing) can have a significant impact on productivity and production costs. DAS (which received the Quality Innovation of the Year award, organized by the Finish Quality Association) improves 100% capacity through the complete workpiece volume, increases productivity up to 300%, improves workpiece surface quality, extends the tool life and operates in real-time.
It was eventually announced that next BIEMH will take place on May 28-June 1, 2018 (Monday to Friday), which means it will be one day shorter than this year’s event.
On the whole, ICT enabled predictive maintenance states one of the most promising revenue streams machine tool builders have (hence its strong presence within this international fair). However, there are still several technological and non-technological challenges to be faced, being most of them tackled by MANTIS.