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Numerical and Experimental Study of Five-Layer Non-Symmetrical Paperboard Panel Stiffness
Leszek Czechowski1, Gabriela Kmita-Fudalej2, Włodzimierz Szewczyk2
1Department of Strength of Materials, Lodz University of Technology, 90-537 Lodz, Poland.
Materials (Basel, Switzerland)
|December 10, 2021
Summary
This study analyzed five-layer corrugated paperboard's bending stiffness using experimental and numerical methods. Numerical models require geometric corrections to accurately predict stiffness, showing a discrepancy of 3.04-32.88%.
Area of Science:
- Materials Science
- Mechanical Engineering
- Structural Analysis
Background:
- Corrugated paperboard is widely used in packaging and structural applications.
- Accurate prediction of bending stiffness is crucial for structural integrity and performance.
- Existing models may not fully capture the complex behavior of multi-layer paperboard.
Purpose of the Study:
- To experimentally and numerically determine the bending stiffness of five-layer corrugated paperboard.
- To compare the accuracy of different discrete models in predicting experimental results.
- To investigate the influence of material properties and geometric variations on bending stiffness.
Main Methods:
- Four-point bending tests were conducted on paperboard samples within the elastic range.
- Numerical simulations were performed using the finite element method (FEM) in Ansys®.
- Paperboard layers were modeled as orthotropic materials, considering variations in properties and thicknesses.
Main Results:
- A good correlation was achieved between experimental and numerical bending stiffness results.
- Numerical modeling of a perfect structure underestimated bending stiffness compared to experimental data.
- Geometric corrections in numerical models improved the accuracy of stiffness predictions.
Conclusions:
- Numerical modeling is a viable tool for analyzing corrugated paperboard bending stiffness.
- Accurate geometric representation is essential for reliable numerical predictions.
- The study highlights the need for refined models to account for real-world structural imperfections.
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