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Digital Bowl Feeders

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.

Utilising AI and 3D Geometric Deep Learning, we can create a digital twin of the feeding system and run simulations prior to its construction. In addition, the AI searches and compares parts geometries in our database and thus helps us to find the right solution more quickly.

RNA Digital Solutions

Simulation Software

Early 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
Production downtimes due to part jams and blockages in the feeding system are a highly critical factor. Simulation studies help detect and eliminate these issues very early on in the project.
Tolerance analyses
For parts that are subject to very high tolerances, most serious attention must be paid to the tool design concept. Thanks to simulation, we can understand tolerance issues and define a more robust process window.
Production changeover
Especially in the pharmaceutical industry, feeding systems are subject to frequent changeovers. To ensure a uniform optimal run across all tools, our simulation can provide valuable support during the concept phase.
Output capacity
In some industry sectors, machine output capacities of several hundred parts per minute are a common requirement. To achieve this with reliable processes, simulation is the tool of choice for verifying numerous design parameters.

Measurements & Analytics

Poor 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
Our measuring equipment is made up of a 3-D acceleration sensor, an impact hammer and special evaluation software. We will bring our equipment to your shop floor and measure your system to determine its exact physical state.
Remedies for improved OEE
By evaluating the measured data we will determine the actual cause of the malfunction and define suitable remedial actions. In combination with our Simulation we are often able to find more robust process windows.
Reproducibility
Malfunctions often occur when reproducibility is no longer guaranteed. The cause for this can originate in the drive, the bowl, or the track. Using measurements & analytics we will find out the causal links.
Comprehensive customer service
Our measuring equipment is mobile. We go to where the source of the problem lies. In this manner, we can also pinpoint structural-mechanical effects that are external to the feeding system.

How does it work?

Project goal
Exchange of data goal
Simulation setup
Simulation runs
Results

Together we define the
objective of the simulation study: product development, separation simulation, drive unit tuning, FEM...

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
» Timeline
» Required data

» Gather data
» Clean data
» Enrich data

» Parameterising
» General conditions
» Plausibility checks

» Evaluate functionality
» Determine performance
» Derive recommendations

» Discussion
» Documentation
» Implementation

What is a Digital Bowl Feeder?

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.

Key Benefits

Full Reproducibility

CNC-milled or 3D-printed for full reproducibility

AI Optimisation

AI (Artificial Intelligence) for maximum efficiency

3D Deep Learning

3D (Geometric) Deep Learning for the development of sorting lines

Digital Pre-Testing

Digital pre-testing through simulation of the feeding system

Digital Twin Accuracy

Digital twin for 100% reproducibility

Material Flexibility

Flexible changeover to a new material

Part Family Feeding

Feeding of different parts of a part family

High-Performance

Superior Feeding System Capabilities

Digital Bowl Feeders with 3D Printed Bowls

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.

  • Simulation in Advance of Production: Designs can be simulated and tested virtually before production, ensuring optimal performance and reducing the need for physical prototypes.
  • Reproducible & Consistent: The digital nature of 3D printing ensures that bowl feeders can be easily reproduced with consistent quality across multiple units.
  • Customisation & Flexibility: Easily customised for various part shapes, sizes, and orientations.
  • Cost-Effective: Lower production costs due to reduced material waste and the ability to produce complex designs without additional tooling.
  • Compact Design: 3D printed feeders are typically lighter than metal counterparts, allowing for easier handling and installation.
  • Design Complexity: Ability to create intricate designs, channels, and features that would be challenging with conventional manufacturing.
  • Short Lead Times: Faster production cycle enables quick response to design changes or manufacturing demands.

Applications

3D printed digital bowl feeders for Filigree parts from the electronics industry

3D Printed Bowl Feeder for Pushers

3D Printed Bowl Feeder for Filigree Parts from the Electrical Industry

Read More
3D printed digital bowl feeders handle red O-rings.

3D Printed Bowl Feeder for O Rings

3D printed vibratory bowl feeders handling O-rings. A nylon material with an anti-static additive is used for the bowl.

Read More
Digital Bowl Feeders for screws feeding for the furniture industry.

Vibratory Bowl Feeder Batch Feeding for Screws

A standardised screw feeding system for the furniture industry.

Read More
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Industrial Automation Solutions

Digital Feeding Systems

Digital Bowl Feeders

Digital Bowl Feeders

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