Trevalli starts experiment
machineering is internationally renowned with iPhysics. The Munich-based simulation expert has many customers, particularly in northern Italy with its many strong industrial locations. For this reason, machineering has also decided to work with local sales partners who can advise and support customers in the local language. One of the customers came to machineering as part of a research project and has stayed.
machineering was involved as a research partner in the EU project “Cloudifactoring“. The aim was to develop a common European standard for cloud solutions together with other European companies. The specific project aimed to develop the simulation of a complex packaging line for milk and liquid dairy products. machineering provided the comprehensive simulation of the machine line for this project. Along this real-time simulation, the software was to be made ready for use in the cloud infrastructure. In addition, machineering created a simulation model of the planned production line so that all variants could be tested on this model.
Trevalli, one of Italy’s largest dairy product suppliers, therefore brought machineering on board for an experiment. Simulation had not been an issue for the company in the past, but those responsible were now looking for a way to gain time in the event of a malfunction in the running plant. Previously, those responsible had a maximum of 5 minutes to detect, localize and rectify the fault before the entire system had to be stopped. In the worst case scenario, this can mean that all products in the filling process have to be destroyed. This machine downtime costs a lot of time and money. A solution was therefore to be found together with machineering. The aim of the experiment was to generate a digital twin that would map the system as a virtual counterpart in real time. In this way, potential malfunctions in the process can be detected, localized and rectified at an early stage without causing machine downtime. Having more time to react becomes a reality with the Digital Twin. The Munich-based company is even thinking one step ahead. With the move towards artificial intelligence, nothing stands in the way of a “self-thinking” system. In the event of a malfunction, the system could “learn” to reduce its speed independently so that there is enough time to rectify the fault. The project is still in its infancy, variants are being tested and possibilities played through. But those responsible are enthusiastic about the proposals so far. In future, Trevalli will no longer be able to do without simulation.
