Multi-objective Optimization of Key Structural Parameters of Aluminum-plastic Heat Sealing Heating Rolls Based on BP-NSGA-II

ZHANG Zhiqiang; ZHANG Beilong; CHEN Guangwei; LUO Dadi; WANG Xinghe

doi:10.19554/j.cnki.1001-3563.2026.07.016

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (7) : 132-139. DOI: 10.19554/j.cnki.1001-3563.2026.07.016

Multi-objective Optimization of Key Structural Parameters of Aluminum-plastic Heat Sealing Heating Rolls Based on BP-NSGA-II

ZHANG Zhiqiang¹, ZHANG Beilong^1,*, CHEN Guangwei², LUO Dadi¹, WANG Xinghe¹

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Abstract

The work aims to optimize the key structural parameters of the aluminum-plastic heat sealing heating roller to improve the uniformity of its working surface temperature. A temperature field simulation model was established for the key structure of the heating roller and the uniformity of the working surface temperature under different structural parameters (δ₁, δ₂) was numerically simulated to obtain the discrete data of the temperature uniformity on the working surface. Based on the simulation results, a BP neural network prediction model was constructed to precisely map the complex nonlinear relationship between the structural parameters and the temperature uniformity indicators (ΔT_max, T_f, T_u). With the BP neural network prediction results as the fitness function, the NSGA Ⅱ non-dominated sorting genetic algorithm was adopted to conduct multi-objective optimization for the key structural parameters. After optimization, when the maximum temperature difference ΔT_max on the working surface of the heating roller was 1.13 ℃, the temperature fluctuation degree T_f was 0.50 ℃, and the temperature uniformity index T_u was 0.995 4 and the corresponding internal structure parameters were δ₁ = 14 mm and δ₂ = 10 mm. Compared with the existing heating rollers of the enterprise, ΔT_max was reduced by 6.39 ℃, T_f was reduced by 2.19 ℃, and T_u increased by 0.014 6. The multi-objective optimization model for key structural parameters of the heating roller, constructed based on BP-NSGA-II, can systematically analyze the relationship between the uniformity of the working surface temperature and the structural parameters, effectively reduce the errors caused by the coupling of multiple factors in traditional research, and provide theoretical support for the intelligent upgrade of the aluminum-plastic heat-sealing packaging industry.

Key words

aluminum-plastic heat sealing / BP neural network / NSGA-Ⅱ algorithm / temperature uniformity

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ZHANG Zhiqiang, ZHANG Beilong, CHEN Guangwei, LUO Dadi, WANG Xinghe. Multi-objective Optimization of Key Structural Parameters of Aluminum-plastic Heat Sealing Heating Rolls Based on BP-NSGA-II[J]. Packaging Engineering. 2026, 47(7): 132-139 https://doi.org/10.19554/j.cnki.1001-3563.2026.07.016

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