The aim of the demonstration is to develop a mobile demonstrator for a CPPS in the field of manufacturing, in particular milling. The demonstrator will show the smooth interaction of data acquisition from machine and process, data management and simulation models. The analysis of the process and the resulting quality of the machined part will be based on real process data, not only on simulated data.
The MCPPS project is a building block in the chain of digitalisation of processes within the framework of Industry 4.0. The demonstrator combines the subsystems data acquisition and data processing into a mobile, universally applicable cyber-physical production system using milling as an example. The demonstrator for a CPPS in manufacturing shows the smooth interaction of data acquisition from machine and process, data management and simulation models. The data obtained will be stored in a digital twin and can meet future requirements for seamless process documentation as part of the spread of Industry 4.0. The mobile demonstrator contains all the necessary hardware and software and can be used on various machine tools without any problems. Generating user acceptance for the approach of cyberphysical production system (CPPS) in the field of machining by using a demonstrator to show the abilities and opportunities. The demonstrator "milling CPPS" belongs in the field of machining production. There, the demands on quality and productivity are constantly increasing. These requirements can hardly be met efficiently with classical methods of process improvement. The results of current research projects (TUD) show possibilities how process optimisation can work with the help of process data in cooperation with simulation models. However, a smooth interaction of data acquisition from machine and process, data management and simulation models is necessary for an industrial implementation. Due to the constantly increasing demand for quality and productivity and the increasing degree of individualisation of products, new digital support tools are clearly moving into the focus of the user. The demonstrator implements a consistent and low-cost approach for a complete system, thus contributing to user acceptance and expanding the field of application of CPPS. By providing practical proof of the performance of the data management platform Detact in combination with the sensor technology used in the demonstrator and the powerful digital process twin, a consistent solution is presented. This POC provides the basis for further developments through permanent user feedback and thus the securing and improvement of the market position in the manufacturing company environment.
Challenge
Impact
FSTP Name:
MCPPS
Beneficiary Lead:
Symate GmbH
www.symate.de/
Germany
Beneficiary 2:
TOS Varnsdorfa.s.
www.tosvarnsdorf.cz/cz/
Czech Republic
Beneficiary 3:
TU Dresden
tu-dresden.de/
Germany
Technology Area:
IoT
End User:
End users in the areas of process control, quality assurance and maintenance
Start Date - End Date:
01/11/2021 - 31/08/2022
Duration:
11 months
FSTP Funding:
157 394,00 €
TRL Level at Start:
6
TRL Level at End:
7
Number of early adopters raised:
3
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