Void Analysis
Internal fiber network imaging provides non-destructive three-dimensional visualization of corrugated board cross sections at microscopic resolution. Micro-computed tomography evaluates structural void distributions within dense paperboard layers without damaging physical integrity during testing protocols. High-energy X-ray attenuation maps density variations across heterogeneous wood pulp matrices to quantify internal defect volumes.
Specialized reconstruction software translates thousands of angular projection images into volumetric datasets with voxel sizes reaching sub-micrometre precision. Board manufacturers apply this scanning technique to optimize pulping parameters and dry-end pressing pressures before large-scale commercial runs begin.
Solid Retention
Filler particle dispersion measurements rely on gray-scale thresholding algorithms within reconstructed image stacks to separate mineral pigments from cellulose fibers. Micro-computed tomography calculates retention rates for precipitated calcium carbonate within multi-ply folding boxboard by comparing cross-sectional density histograms against calibration standards. Mineral agglomeration inside the internal ply reduces bending stiffness during high-speed carton conversion operations.
Papermakers monitor internal mass distribution profiles to maintain caliper tolerances within precise limits demanded by pharmaceutical packaging machinery.
Interface Resistance
Inter-ply bond integrity evaluations utilize virtual slice extraction to measure delamination resistance across layered paperboard substrates prior to lamination. Micro-computed tomography isolates weak zones where adhesive penetration fails to bridge adjacent fibrous layers during wet-end formation. Void connectivity metrics derived from volumetric data predict barrier coating failure rates under high-humidity transport conditions.
Moisture vapor transmission rates depend directly on internal tortuosity pathways quantified through morphological analysis of reconstructed fiber networks.
