Fiber Morphology Characterization in Recycled Packaging Substrates
Automated optical morphology testing under ISO 16065-2 quantifies fiber shortening and hornification to control secondary substrate strength and yield.
Optical Image Analysis
Measurement Procedure
High resolution digital imaging provides data for the quantitative assessment of substrate surface features. Optical image analysis captures these characteristics through controlled lighting and magnifying lenses to record variations in reflectance or topography. Sensors convert the intensity values of pixels into numerical counts of inclusions, fibre distributions, or surface defects within a paper web.
Digital filters isolate features based on contrast thresholds, allowing the software to distinguish between valid material attributes and background noise.
Processing Methodology
Automated routines perform the identification of structural anomalies by applying morphological operations to the captured images. Each pixel matrix undergoes segmentation to isolate regions of interest from the surrounding fibrous structure. Algorithms calculate geometric parameters such as area, perimeter, and circularity for individual particles or void spaces.
Software integration with high speed production lines enables the continuous monitoring of coating uniformity or dirt count during the converting process. Real time output feeds directly into process control systems to adjust blade pressure or moisture application.
Evaluation Standard
Statistical accuracy depends upon the calibration of the sensor arrays against known benchmarks for contrast and resolution. Variations in ambient lighting conditions necessitate the use of stable, monochromatic illumination sources to ensure repeatability across different scan sessions. Tolerances in the print room require the detection of sub-millimetre variations that compromise ink holdout or registration.
Data variance dictates the frequency of calibration checks needed to maintain the precision of the output values. Correct application of the software ensures that the measured surface properties maintain compliance with industry quality grades.