MCPPS – Demonstrator for a milling CPPS
Name of demonstration
MCPPS - Demonstrator for a milling CPPS
This use case shows the advantages of using a CPPS in the area of machining production. It enables the user to analyse and improve machining processes on the basis of real process data. The mobile demonstrator contains all the necessary hardware and software and can be used on various machine tools without any problems.
The demonstrator combines the subsystems data acquisition and data processing into a mobile, universally applicable cyber-physical production system using the example of milling. Process data can be recorded and processed at high frequency (e.g. actual position data, utilisation data of the drives, speeds) and at low frequency (e.g. tool number, programme name). Further processing makes it possible to save the entire process as a digital twin and thus meet the highest requirements for process documentation in the course of the introduction of Industry 4.0.
This demonstration has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825196.
Owner of the demonstrator
Technische universität Dresden, Chair of Machine Tools Development and Adaptive Controls
Ms. Anna Debora Renner
C25.6.2 - Machining
Industry 4.0, metal processing industry automation, Process Control, CAM Simulation, modular, automation, Smart Manufacturing.
Benefits for the users
The user can analyse his process holistically on the basis of the real process data from the milling process. By combining this with mathematical approaches, additional information is generated from the process data, e.g. information on dimensional accuracy and surface quality. It is possible to record and analyse the entire machining process including high-frequency and highly dynamic parameters.
The innovation shows a mobile demonstrator for a CPPS in the field of manufacturing, especially milling. It shows 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 just simulated data. Process optimisation can already begin after the first part. The data obtained will be stored in a digital twin and can meet future requirements for gapless process documentation as part of the spread of Industry 4.0.
Risks and limitations
actual version of the demonstrator is for use with a CNC Sinumerik 840D only, use of real process data depends on the Siemens licensing
Technology readiness level
7 - System model in operational environment
Sectors of application
The demonstrator is used in the field of machining, especially for the milling process. It shows the advantages of using a CPPS over just collecting data with an Egde device, processing the data and analysing the data according to different objectives. The acquisition of high and low-frequency process data directly from the channels of the machine control system without the need for additional sensors makes it possible to acquire data very close to the process. Further processing and use in combination with mathematical models (e.g. cutting force, surface) and artificial intelligence approaches enables a new quality of process evaluation..
Potential sectors of application
The demonstrator can also be used for other processes and machines that are equipped with a Sinumerik 840D. These can include lathes, forming machines and highly automated systems.
Patents / Licenses / Copyrights
Hardware / Software
Machine tool with control Sinumerik 840D
SIMATIC EDGE as interface to the Sinumerik 840D
PC for using the DETACT system and the digital twin
Siemens software licenses (depending from the software at the CNC used at the machine tool)
The video is the summary of the project with information about the scope and teh partners.https://cloudstore.zih.tu-dresden.de/index.php/s/XSD3oHfyapBC3Jo
The video describes th objectives of the MCPPS demonstrator at a milling process.https://cloudstore.zih.tu-dresden.de/index.php/s/ED7kW5W69GAjsK4
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