igus: Smart Plastics To Increase Plant Safety And Reduce Maintenance Costs

Tuesday, May 29th, 2018 | 1063 Views

“Machine Learning”, “Big Data” and “Industry 4.0”—the real potential customer benefits from digitalisation are often hidden behind these buzzwords. The company’s new intelligent plastic solutions offer many options for predictive maintenance.

Intelligent such as igus smart plastics, for example, enable companies to increase the reliability of their systems, plan maintenance tasks accurately and therefore, save costs. The way this works was demonstrated by igus with new ideas at the Hannover Messe 2018.

The company has been developing a family of products since 2016 under the heading—isense, where various sensors and monitoring modules add intelligence to plastic solutions such as energy chains, cables, linear guides and slewing ring bearings. They measure among other things, the wear during the operation and alert the user early enough to plan repair or replacement.

By networking using the igus communication module—icom, the online status and alert display, for example via a PC, tablet or smartphone, is just as possible as a direct integration into the customer’s infrastructure. These smart plastics are already predicting the service life of numerous customer applications, such as in the automotive industry. They are continuously developed in close cooperation with customers.

Individual Integration Of Smart Plastics

The improved isense modules are equipped with a serial interface and can be easily integrated into a control cabinet. A data logger allows the storing of values on an SD card. The data measured by the different isense systems are then sent wirelessly to the icom module, summarised and processed. The customer has the choice of various concepts for integration into their own infrastructure.

In this way, there is an option for the icom to send the data from the sensors to a personal computer or integrate the data via the computer into the existing software environment and intranet solution.

In addition, a connection to the igus Data Center is possible. In this case, the maintenance recommendations via Machine Learning and artificial intellignce algorithms are constantly compared and defined with the experiences of many existing applications—for example, in the large igus test laboratory spread over a floor area of 2,750 square metres.

“Due to the numerous test findings that are fed into the online service life calculators, we are able to predict precisely how long an e-chain will work reliably in a particular application,” says Richard Habering, head of the newly established smart plastics business unit at igus.

“The isense components provide the customer with additional safety through a permanent service life update. This is because it includes the current ambient conditions of the actual application. Maintenance and replacement occur only when it is really essential, saving time and maintenance costs,” Mr Habering adds.