We define all key requirements to ensure the feeding solution is designed around the part, the process, and the operating environment from the very beginning.
• Part CAD & requirements
• Orientation & output
• Constraints & environment
• Feeder type selection
Using RNA AI & simulation tool Digital Feeder™, we digitally assess the component’s characteristics and feeding concept to confirm feasibility and reduce risk before physical manufacturing begins.
• Sorting concept
• System-level simulation
• Feasibility validation
The validated digital concept is converted into a detailed mechanical design, with all geometries and layouts finalised for manufacture.
• Final bowl & track design
• Tooling definition
• Layout finalised
Track and tooling geometry are digitally validated to ensure the mechanical design supports stable and reliable feeding behaviour.
• Track & tooling geometry
• Validation & Commissioning
• Feed rate validation
The simulation tool Digital Motion™ is used to simulate and optimise drive behaviour, ensuring predictable vibration characteristics before commissioning.
• Drive & vibration simulation
• Spring & frequency tuning
• Optimise running parameters
The system is built using CNC or 3D-printing for exact replication of the digital design. This results in predictable behaviour and minimal on-site tuning.
• CNC or 3D-print the bowl selection & tooling
• Physical system build
• Reduced on-site tuning
• Predictable behaviour
Digital data supports long-term operation, enabling system replication, efficient servicing, and future modifications.
• Reproducible systems
• Service & relining
• Change tooling
• Digital documentation reuse
RNA provide automatic parts handling equipment for high volume production in automotive, cosmetics, pharmaceuticals, electronics, food, plastics and metal working industries – anywhere, where there is a need to automate the handling and orientation of component parts.