Detect & eliminate faults at an early stage

Before production starts, the sorting solutions we design can be tested, checked and approved using simulation. This makes these feeding systems 100% reproducible. Even before the concept is created, we can see whether a workpiece can be fed and you can be sure of a functioning solution in advance.

The sorting can be produced within a few days after the simulation of the bulk material behaviour.

A multiphysics simulation and 3D deep learning AI technology are used to determine the optimum geometry of each individual tooling. This guarantees congruence between the digital simulation of the feeding process and the actual behaviour of the assembly parts in practice.

What our technology does:

Fault prevention

Production interruptions due to faults in the feed system are particularly critical. With the help of simulation studies, these can be recognised and eliminated at a very early stage of the project.

 

Tolerance analyses

Components with high tolerances require particularly careful consideration when designing the sorting concept. Thanks to simulation, we can find a more robust process window for tolerance fluctuations.

 

Setup change

Especially in pharmaceutical production, feeding systems often have to be retooled. To ensure that all changeable sorting equipment runs smoothly and optimally, our simulation can provide strong support right from the design stage.

 

Feed performance

In some industries, machine output rates of several hundred parts per minute are a common requirement. To achieve this with process reliability, simulation is the ideal tool for checking numerous design parameters.

 

Faster to market, higher OEE

Achieve better solutions faster, avoid rework & deliver higher technical availability. Our simulation technology is a key contributor to remaining fit for the future in the demanding mechanical engineering environment. Services offered by our sister company RNA Digital Solutions can be found in the brochure.

Simulation studies

Verification of the sorting process

Digital twin of a milled polyamide bowls of plastic parts for the electrical industry

Evaluation of the part behaviour

Digital twin of a milled polyamide bowl of stainless steel brackets for dental braces for medical technology

Optimisation of the nest geometry

Simulation of the component behaviour in the nest of a fast rotating assembly plate.