RNA’s Digital Bowl Feeders represent the next generation of feeding technology — a truly unique innovation on a global scale. Using AI and 3D Geometric Deep Learning, RNA can create a digital twin of the feeding system, allowing it to be simulated, tested, and optimized virtually before the physical system is built.
![]() 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 begins, the sorting solutions we design can be tested, verified, and approved through simulation. Even before the concept is finalized, we can determine whether a component can be fed reliably—giving you confidence that the solution will work as intended. Many of our bowl feeders are already digitized and can be tailored specifically to your application.
The RNA Digital Bowl Feeder features a sorting track (custom tooling specific to the material), which can be milled or 3D-printed. This tooling is developed after detailed simulation and assessment of the bulk material. Using multiphysics simulation and 3D Deep Learning AI technology, the optimal geometry for each tooling is calculated precisely. This process ensures complete alignment between the technical simulation of the feeding process and the actual behavior of the components in real operation. The transfer of bulk material to the linear line is therefore entirely trouble-free. The innovative digital capabilities of RNA are also applied to conventional feeding technologies, combining proven mechanical design with cutting-edge digital intelligence.
RNA 3D machined bowl feeders are custom-designed and manufactured using advanced 3D machining techniques. RNA focuses on the CAD/CAM-supported production of polyamide and aluminum bowl feeders for very small and small parts. With RNA digital solutions, all 3D machined bowl feeders can be reproduced and fully simulated.
RNA 3D printed bowl feeders are designed and produced using additive manufacturing techniques, allowing for rapid customization and full reproducibility. They are flexible and can be quickly changed over for different part shapes and sizes, making them ideal for industries that require high flexibility, such as electronics and small parts manufacturing.
Send your message to a member of our team
Read our Privacy Policy to learn how we manage and protect your submitted information.