Structure Deformation and Pressure Correlation Model of Paper Packaging Die-cutting Machines Based on the PSO-BP Algorithm

GENG Yuqiang; TU Juncheng; TAO Zhongquan; GAO Zhenqing

doi:10.19554/j.cnki.1001-3563.2026.09.024

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (9) : 231-237. DOI: 10.19554/j.cnki.1001-3563.2026.09.024

Structure Deformation and Pressure Correlation Model of Paper Packaging Die-cutting Machines Based on the PSO-BP Algorithm

GENG Yuqiang, TU Juncheng, TAO Zhongquan, GAO Zhenqing^*

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Abstract

To address the challenge of direct online measurement of die-cutting pressure in die-cutting machines, the work aims to propose an indirect measurement method based on structural micro-deformation analysis, enabling accurate pressure acquisition and real-time prediction to enhance process stability and cardboard forming quality. With flat-bed die-cutting machines as research subjects, strain gauge sensors and pressure films were employed to extract upper platform pressure and micro-strain data under varying loading conditions. A backpropagation (BP) neural network combined with particle swarm optimization (PSO) algorithm was applied for nonlinear modeling and parameter optimization, establishing a correlation model between die-cutting pressure and upper platform micro-strain. Significant nonlinear relationships were observed between upper platform micro-strain and die-cutting pressure, which could not be accurately characterized by traditional linear methods. The developed PSO-BP model demonstrated superior predictive performance across both training and test datasets, showing markedly better fitting accuracy compared to conventional single-model approaches with smaller prediction errors that effectively reflected pressure variation patterns under different operating conditions. This model successfully establishes a precise mapping relationship between die-cutting pressure and upper platform micro-strain, validating the feasibility and effectiveness of indirect pressure measurement through structural deformation monitoring.

Key words

die-cutting machine / finite element analysis / upper platform deformation / BP neural network / PSO optimization

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GENG Yuqiang, TU Juncheng, TAO Zhongquan, GAO Zhenqing. Structure Deformation and Pressure Correlation Model of Paper Packaging Die-cutting Machines Based on the PSO-BP Algorithm[J]. Packaging Engineering. 2026, 47(9): 231-237 https://doi.org/10.19554/j.cnki.1001-3563.2026.09.024

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