RESEARCH NEWS TECHNOLOGY IN FOCUS
On this spread , we spotlight a selection of new metalforming , energy and cognitive research initiatives from Fraunhofer ’ s research labs for sheet-metal users .
A forming press demonstrator provides live insights into the functionality of a cognitive T-slot . The process data transferred by smartNOTCH can be visualised on a connected terminal .
Increasing forming machine efficiency
At the Hannover Messe 2022 , the Fraunhofer Cluster of Excellence Cognitive Internet Technologies CCIT demonstrated how cognitive transformation of industrial processes can improve the efficiency of forming machines . During operation , forming presses create vast quantities of data that are captured and stored automatically – covering everything from process information ( including the forming force or the number of strokes ) and quality specifications to status-related data and process variables ( such as the service life ). “ To date , machine users have in most cases only been able to collect this data at the machine itself . It has not been possible for them to gain aggregated stocks of data from machine pools or to share it with stakeholders , such as manufacturers or suppliers . Additionally , previous solutions have rarely provided structured analysis , evaluation and application options for data . They have not incorporated concepts and technology for closed data life cycles in which data can be sustainably processed , retrieved and easily distributed as a way of generating new findings . In short , there has been a lack of cognitive internet technologies ,” explained the researchers .
At the Hannover Messe 2022 , Fraunhofer CCIT used forming machines to showcase a solution in which cognitive internet technologies ensure consistently transparent processes and , as a result , enhance overall equipment effectiveness . At the heart of this new technology is smartNOTCH , a cognitive T-slot that continuously monitors production processes with automated methods . The new sensor concept can be integrated into a forming press and , once installed , measures deformations and loads at interfaces with tools as well as transfer data to evaluation systems wirelessly .
“ The technology enables continuous monitoring that can be used inline for wear detection , protection , acceptance and tool integration . This makes it possible to streamline workflows and make processes more agile ,” said Robin Kurth , Head of Group Forming Machines , Fraunhofer CCIT .
Usage conditions can be attached to the data obtained through smartNOTCH , giving machine users the ability to decide with whom they wish to share forming press data , for what purpose and under which conditions . When data sovereignty is assured , and intellectual property ( IP ) along with it , data silos can be compiled . Users , manufacturers and suppliers of forming machines can then apply machine-learning ( ML ) and artificial intelligence ( AI ) methods to the aggregated data , for new insights into the performance and error susceptibility of the machines . The experience amassed by specialist employees throughout the long service life of a forming machine can provide additional input .
“ The solution provides users , manufacturers and suppliers with the information they need to increase the efficiency of forming machines , whenever they need it . This makes it possible to start up new machines and processes more quickly , test out new pressing tools with more specific aims in mind and perform preventive maintenance on presses , for example . Intelligent capture , secure sharing and systematic evaluation of data can also allow new business models to emerge , enabling manufacturers and suppliers , for example , to provide their customers with not only hardware , but also smart services based on data . Examples include the remote operation of entire machines ( Equipmentas-a-Service / EaaS ) and targeted upgrading and modernisation ( retrofitting ) of existing presses ,” explained Fraunhofer . n
22 | ismr . net | ISMR October 2022