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Human Capital: The New Metric to Measure, Paper360º May/June 2020

Human Capital: The New Metric to Measure, Paper360º May/June 2020

Mondi Group: ´Paper Where Possible, Plastic When Useful’, Paper360º November/December 2019

Mondi Group: ´Paper Where Possible, Plastic When Useful’, Paper360º November/December 2019

The Paper360° TOP 100, Paper360º September/October

The Paper360° TOP 100, Paper360º September/October

Starch Best Management Practices in a Corrugated Packaging Plant, 1997 Environmental Conference Proceedings

Starch Best Management Practices in a Corrugated Packaging Plant, 1997 Environmental Conference Proceedings

Etex Bègles Paper Mill Raises Paperboard Performance, Paper360º March/April 2019

Etex Bègles Paper Mill Raises Paperboard Performance, Paper360º March/April 2019

Quick Evaluation of Fillers and Fines in Paper and Board, Paper360º March/April 2020

Quick Evaluation of Fillers and Fines in Paper and Board, Paper360º March/April 2020

Paper Chemistry for New Markets: An Overview, November/December 2023 Paper360º

Paper Chemistry for New Markets: Vendor Perspective, November/December 2023 Paper360º

New Technology Pays Dividends for Metsä Board Husum, Paper360º January/February 2023

On the design of corrugated boards: A new FEM modeling and experimental validation, TAPPI Journal August 2025

ABSTRACT: This study presents a simplified finite element modeling (FEM) approach suitable for large structures made of corrugated boards, such as customized packages, based on a homogenization method, which is combined with correction factors for internal mechanisms. The homogenization process reduces computational time by transforming flute geometries into equivalent elastic models. In large deformations and in the presence of contact for a given geometry, the effective elastic modulus in the thickness direction, as well as the effective thickness of the structure, are corrected by two statistical Weibull distributions representing the contact and buckling mechanisms in a corrugated board. The Weibull parameters are obtained via experimental analysis, and such a process is then validated. The results demonstrate that the statistical parameters (â1 = 0.14, â2 = 1.31) can be used for the simplistic representation of corrugated boards, being computationally efficient. This research contributes to the optimization of corrugated packaging design, specifically by simplifying FEM models for faster, yet equally accurate, simulations.