Approach of Model Extension for Virtual Commissioning to Predict Energy Consumption of Production Systems
 
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IIOT controls and technical cybernetics, Fraunhofer IWU, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany
 
 
Submission date: 2023-09-01
 
 
Final revision date: 2023-11-03
 
 
Acceptance date: 2023-11-06
 
 
Online publication date: 2023-11-09
 
 
Corresponding author
Leon Hollas   

IIOT controls and technical cybernetics, Fraunhofer IWU, Fraunhofer Institute for Machine Tools and Forming Technology IWU, Germany
 
 
Journal of Machine Engineering 2023;23(4):77-88
 
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ABSTRACT
Not only as a result of the current energy crisis, opportunities to save energy are a highly focused topic in production. For this reason, the article proposes an approach to evaluate the part-specific energy consumption of production systems by utilization of simulation methods. As an application example, a Comau 6-axis robot is chosen, of which a physically based model is created in the CAE software SimulationX. This model is then exported as a Functional Mock-Up Unit (FMU) and co-simulated within a virtual commissioning environment. Virtual commissioning enables a controller to be connected to a model. Within a Software-in-the-Loop simulation, this is a virtual control system. Based on the movement specifications from the virtual controller, the movement behavior of the machine can be simulated in the virtual commissioning tool ISG-virtuos and the FMU returns the associated power and energy curve as a result variable. For further use, this kind of enhanced simulation models provides the possibility to optimize the utilization of production systems for specific processes in the context of a complete production line or factory.
 
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CITATIONS (1):
1.
Modular Digital Twin – an approach for generating and exploiting product sustainability information towards service-oriented business models
Andreas Werner, Frauke Schuseil, Moritz Hämmerle, Sascha Schaper, Katharina Hölzle
International Journal of Production Research
 
eISSN:2391-8071
ISSN:1895-7595
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