TECHNICAL ARTICLE · KERN IoP

Efficiency and sustainability in injection moulding: what to measure

The cycle, energy, quality and process data needed for a technical comparison of injection moulding conditions.

Improving injection moulding parameters

Consistent data collection makes it possible to compare a reference condition with a modified condition using indicators such as cycle time, energy consumption, OEE components, rejects and downtime. The scale of any improvement depends on the initial condition, machine, mould, material, operating practices and the change being assessed. KERN IoP therefore treats savings, productivity gains and returns on investment as project-specific results to be established from a measured baseline and verified after the intervention.

Improving sustainability with Industry 4.0

Sustainability is an important consideration in plastics injection moulding, particularly in reducing environmental impact and supporting circular-economy practices. Incorporating post-consumer recycled (PCR) resins creates challenges in material consistency, quality control and process optimisation. Industry 4.0 tools can help investigate these challenges and support the integration of PCR resins into injection moulding.

KERN IoP can integrate available machine signals, sensors and production records to document process behaviour when PCR resins or other materials with greater variability are used. Monitoring supplies evidence that engineers can relate to material, machine, mould and inspection results when defining and maintaining an appropriate process window. Material properties and product quality require their own characterisation and verification.

Where project scope and data availability justify it, historical analysis can identify patterns and compare operating conditions. Predictive or automatic-control functions require a specific model, validation data and an implementation designed for the application, in addition to monitoring records.

To assess a specific operating condition, contact us to define the variables, baseline and measurement boundary needed for a technical comparison.

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