Thermal Mapping
Numerical approximation calculates temperature gradients across multilayer corrugated paperboard during high speed drying cycles. The finite difference method discretizes continuous partial differential equations into algebraic expressions evaluated on a grid of nodal points. Heat transfer equations govern conduction and convection within porous substrates while moisture evaporates from the inner fluting structure.
Board manufacturers apply this computational scheme to predict residual moisture profiles before the web reaches the calender stack. Boundary conditions specify ambient air velocity and roll surface temperature to constrain the solution domain.
Grid Resolution
Mesh spacing determines local truncation error and numerical stability during transient thermal analysis. Spatial discretization step size dictates whether sharp temperature spikes near steam cylinders resolve accurately or smear across adjacent nodes. Temporal intervals must satisfy Courant conditions to prevent divergence when calculating sudden enthalpy shifts in heavy weight linerboard.
Fine node spacing captures steep thermal gradients across thin adhesive layers but multiplies matrix inversion times on plant floor servers. Coarser subdivisions accelerate computation at the expense of local precision near the glue line.
Warp Prediction
Calculated temperature differentials translate into differential dimensional change between top and bottom linerboards. Stresses accumulate when asymmetric moisture loss causes one face to shrink faster than the opposing side during cooling. Numerical iterations compute interlaminar shear stresses that lead to board curl exiting the hot plate section.
Converting lines rely on these computed displacement fields to optimize steam shower settings and eliminate downstream flat crush failures. Final sheet flatness depends on minimizing the calculated residual strain gradient before winding onto the roll.