Hydramotion

Manual testing means long delays between a process drift and a lab result - resulting in tons of out-of-spec product. A real time measurement every second means you can respond immediately and integrate with DCS/SCADA automation.

Monitor polymer melt behaviour continuously during extrusion with inline polymer melt analysis. Continuous viscosity measurement from ViscoMelt - with live MFI and IV correlation - helps detect process variation earlier, reduce reliance on offline testing and make faster process decisions.

Actionable melt property information inline, in real-time. With live MFI and IV correlation. From robust sensors manufactured with aerospace-grade Inconel 718 to withstand the harsh environments of continuous extrusion.

How do you distinguish material changes from normal process variation during extrusion? This polypropylene data demonstrates how the ViscoMelt inline melt flow sensor can provide real-time visibility of material behaviour inside the extruder alongside conventional process variables. The graph shows continuous viscosity measurements during a controlled polypropylene grade transition, followed by temperature and shutdown events. Key Takeaways: • Clear differentiation between the material transitions (MFI 43 → 8 → 1.3) • A strong inverse relationship between MFI and melt viscosity • Stable viscosity measurements through startup, process disturbances and shutdown • Separation of material-related changes from temperature effects through viscosity correction Learn how inline viscosity can complement conventional process measurements and periodic laboratory testing.

The polymer line moves fast. The lab doesn't. It's time to rethink how viscosity, IV and MFI are measured.

When IV drifts, it's already too late. By the time lab results catch it, you've already wasted resin, time, or compromised quality. Inline IV monitoring puts you ahead of the problem. Tracking degradation and process drift in real time, right at the extruder. No sampling delay. No lab lag. Just immediate, actionable insight.