Density of polyolefins measured by nearinfrared spectroscopy

Applications | 2022 | MetrohmInstrumentation
NIR Spectroscopy
Industries
Energy & Chemicals
Manufacturer
Metrohm

Summary

Significance of the Topic


Density is a critical parameter in defining the mechanical and thermal behavior of polyethylene materials. Accurate density measurements inform product performance in applications requiring stiffness, rigidity, and heat resistance. Traditional buoyancy-based methods can introduce errors due to trapped air and handling issues, highlighting the need for faster, more reliable techniques in quality control and routine analysis.

Objectives and Overview of the Study


This study aims to evaluate near-infrared spectroscopy (NIRS) as an alternative method for determining the density of polyethylene pellets. By comparing NIRS predictions to supplier reference values and to laboratory measurements following ASTM D792, the work investigates accuracy, robustness against air inclusions, and suitability for routine use.

Methodology and Instrumentation


Sample Set and Procedures:
  • 29 polyethylene samples with varying densities were analyzed.
  • Reference densities were provided by the polymer supplier and measured in-house by buoyancy (ASTM D792).

Instrumentation:
  • NIRS DS2500 Solid Analyzer covering 400–2500 nm spectral range.
  • Large sample cup accessory for pellet rotation and averaging of subsample spectra.
  • Vision Air Complete software for data acquisition and chemometric model development.

Measurement Approach:
  • Pellets were scanned in rotation to mitigate particle size effects.
  • Prediction models were built and cross-validated to assess calibration quality.

Main Results and Discussion


Vis-NIR spectral data successfully generated a calibration model correlating strongly with supplier densities. Key performance metrics include:
  • Correlation coefficient (R²) of 0.979 against supplier values, with a calibration error of 2.48 kg/m³ and cross-validation error of 3.42 kg/m³.
  • When compared to laboratory buoyancy measurements, NIRS delivered R² of 0.948, calibration error of 3.95 kg/m³, and cross-validation error of 6.00 kg/m³.

Computed tomography imaging confirmed the presence of internal air bubbles in several pellets, which biased buoyancy results but had minimal impact on NIRS predictions.

Benefits and Practical Applications


NIRS offers rapid (<1 minute), non-destructive density determination with reduced handling errors. Its robustness against entrapped air enhances data reliability. The method’s ease of use and minimal sample preparation make it ideal for both laboratory quality assurance and on-line production monitoring.

Future Trends and Opportunities


  • Integration of inline NIRS for continuous density monitoring in extrusion and pelletizing processes.
  • Expansion to other polymer properties (e.g., crystallinity, molecular weight distribution) via advanced chemometric modelling.
  • Development of portable NIRS systems for field or plant-floor deployment.

Conclusion


This application demonstrates that NIRS is a viable, efficient alternative to buoyancy methods for polyethylene density measurement. The technique delivers high accuracy, lower susceptibility to air inclusion artifacts, and simplified workflow. NIRS can significantly streamline polymer quality control across research and industrial settings.

References


None provided in source material.

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