RNA’s digital Bowl Feeders are the feeding technology of tomorrow and unique in the world. With the help of AI and 3D Geometric Deep Learning, we are able to generate a digital twin of the feeding system and simulate it before building the system.
Simulation SoftwareEarly detection & elimination of malfunctions. The use of simulation, which is linked to the use of our driving unit program, is possible in connection with special applications.Part jams &blockages Tolerance analyses Production changeover Output capacity | Measurements & AnalyticsPoor feeding behaviour? Frequent malfunctions? Call us if you have failure-prone feeding processes on your shop floor. With our analysis tools, we find the cause and eliminate the source of error effectively.On-site experimental analysis Remedies for improved OEE Reproducibility Comprehensive customer service |
Project goal | Exchange of data goal | Simulation setup | Simulation runs | Results |
Together we define the | In the second step you send us data: CAD, information on materials, description of motions, tolerances... | Our engineers set up the simulation model with your data and carry out initial plausibility tests. | The longest step, depending on the task. We derive specific recommendations for your development. | The results are discussed with you and a results report is submitted. |
» Goal | » Gather data | » Parameterising | » Evaluate functionality | » Discussion |
Before production starts, the sorting solutions we design can be tested, checked and approved by the simulation. Even before the concept is drawn up, we can see whether a component part can be fed and you can be sure that the solution will work. Many of our bowl feeders are already digitised and can be offered for your application.
The RNA digital bowl feeder is equipped with a sorting track (material-specific tooling), which can be milled or 3D printed. The custom tooling can be produced following simulation and assessment of the bulk material. The optimal geometry of each individual tooling is calculated through a multiphysics simulation and with the help of 3D Deep Learning AI technology. This guarantees congruence between the technical simulation of the feeding process and the actual behaviour of the assembly parts in practice. The transfer of the bulk material to the linear line is thus completely trouble-free. The new digital possibilities of RNA are also used in conventional feeding technology.
RNA 3D printed bowl feeders are designed and produced using 3D printing technology, allowing for rapid customisation and completely reproducible. They are flexible and can be quickly changed over for different part shapes and sizes, which makes them ideal for industries requiring high flexibility such as electronics or small parts manufacturing.
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