林业工程学报2025，Vol.10Issue(5)：55-65,11.DOI:10.13360/j.issn.2096-1359.202410029
家具用圆形纸管嵌套式夹芯板承载性能的多目标优化设计与分析
Multi-objective optimization design and analysis on the load-carrying performance of paper tube nested sandwich panels for furniture
摘要
Abstract
This study focused on the development of a circular paper tube sandwich panel(PTNSP)structure specifically designed for furniture applications.Utilizing a multi-objective optimization approach that combines response surface methodology(RSM)and the non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ),the research systematically investigated the influence of key design parameters on the panel's comprehensive mechanical load-bearing performance.By adjusting parameters such as tube wall thickness,inner diameter,and height,the optimization aimed to achieve a balanced trade-off among out-of-plane compressive strength,in-plane compressive strength,and flexural strength,ensuring the material's suitability for furniture design.This research not only established a robust foundation for the future industrialization of PTNSP as a furniture material but also provided theoretical insights for the multi-objective performance optimization of structural materials.The study highlighted the intricate coupling effects and nonlinear relationships between structural parameters and mechanical properties.The analysis specifically revealed that the tube inner diameter significantly influenced out-of-plane compressive strength,with a perturbation impact of up to 65.49%within the range of 40-60 mm.Conversely,the tube wall thickness played a dominant role in determining in-plane compressive strength and flexural strength,contributing 16.93%and 12.14%of the total perturbation,respectively,within the range of 2-3 mm.These findings illustrated the critical role of structural parameters in determining the overall mechanical performance of the panel,underscoring the importance of precise parameter tuning in material design.Experimental validation confirmed the reliability and accuracy of the optimization model,as demonstrated by the strong alignment between predicted values and experimental results.For instance,the sample with a tube wall thickness of 2.5 mm,an inner diameter of 40 mm,and a height of 20 mm showed minimal prediction errors of 3.07%,1.25%,and 0.64%for in-plane compressive strength,out-of-plane compressive strength,and flexural strength,respectively.This high level of accuracy reinforced the effectiveness of combining RSM and NSGA-Ⅱ for optimizing complex material systems.Overall,this research provides valuable theoretical and practical contributions to the design of high-performance,lightweight materials for modern furniture engineering.By demonstrating the potential of advanced optimization techniques in material innovation,the study paves the way for sustainable,efficient,and versatile material solutions in furniture manufacturing,bridging the gap between theoretical research and practical applications.The integration of innovative structural designs and optimization methodologies establishes a comprehensive framework for addressing the diverse demands of furniture materials,ultimately contributing to the advancement of sustainable material engineering.关键词
纸管夹芯板/承载性能/多目标优化/响应曲面法/非支配排序遗传算法ⅡKey words
paper sandwich panel/load-bearing performance/multi-objective optimization/RSM/NSGA-Ⅱ分类
轻工纺织引用本文复制引用
姜夏旺,张诗浩,俞明功,孙德林..家具用圆形纸管嵌套式夹芯板承载性能的多目标优化设计与分析[J].林业工程学报,2025,10(5):55-65,11.基金项目
湖南省教育厅科学研究项目(23B0701) （23B0701）
湖南省社会科学基金(23YBQ104) （23YBQ104）
湖南省自然科学基金省市联合基金(2022JJ50065). （2022JJ50065）
