Reducing Noise Pollution by 80% in High-Speed Aseptic Filling Systems
Aseptic filling machines—utilized for dairy, juice, and medical products—operate in strictly controlled environments where hygiene and high-speed reliability are critical. The objective of this R&D project was to optimize the kinematics of a magnetic transport system to reduce mechanical impact forces and acoustic levels, without compromising the strict EHEDG hygiene standards required at the boundary of an aseptic zone.
My workflow encompassed conceptual redesign, the integration of food-grade additive manufacturing, and empirical validation through a custom-built test jig.

Noise pollution in an aseptic environment
The engineering challenge lay in managing the engagement of magnetic components at the system’s in- and outfeed, where traditional sound-dampening materials are prohibited due to contamination risks.
Movement Profile Optimization: Transitioned the clamping mechanism from a traditional linear path to a rotational path. This enabled controlled deceleration and a smoother mechanical engagement, significantly reducing peak impact forces.
Spatial Efficiency: The rotational architecture allowed for a more compact assembly, optimizing the physical footprint and allowing a retrofit without major adjustments to other components, and leaving the bottle transport system untouched.
Prototyping & Technical Validation
To move beyond theory, I built a functional prototype and a dedicated testbench to replicate the machine’s high-speed cycles.
Prototyping Value: Testing the 3D-printed assemblies allowed for rapid iteration of the geometry, ensuring the mechanical timing was perfected before committing to final material production.
Acoustic Data: I used decibel meters to capture and compare frequency graphs across various timings and speeds. This data-driven approach validated a projected 80% reduction in noise pollution.



Prototyping & Technical Validation
To collect data in practice, I built a prototype of both the linear and rotational design, and a dedicated testbench to replicate the machine’s high-speed cycles.
Prototyping Value: Testing the 3D-printed assemblies allowed for rapid iteration of the geometry, ensuring the mechanical timing was perfected before committing to final material production.
Acoustic Data: I used decibel meters to capture and compare frequency graphs across various timings and speeds. This data-driven approach validated a projected an up to 80% reduction in magnet- on magnet noise from closing the bottle holders.
Introducing Food-Grade Additive Manufacturing
A key part of my contribution was advising the engineering team on the use of food-grade additive production. By researching how additive manufacturing can reduce part counts and simplify assemblies, possibilities open to faster replacement parts, lower manufacturing costs and hygienic geometry.

