覃斌, 梁哨, 李权, 等. 响应曲面法优化制备高性能竹基热固性复合板材的研究[J]. 西南林业大学学报(自然科学), 2021, 41(2): 133–138 . DOI: 10.11929/j.swfu.201911052
引用本文: 覃斌, 梁哨, 李权, 等. 响应曲面法优化制备高性能竹基热固性复合板材的研究[J]. 西南林业大学学报(自然科学), 2021, 41(2): 133–138 . DOI: 10.11929/j.swfu.201911052
Bin Qin, Shao Liang, Quan Li, Xiang Wang, Hui Lin. Optimization of Manufacture of High Performance Bamboo-based Heat-curing Composite Board by Response Surface Methodology[J]. Journal of Southwest Forestry University, 2021, 41(2): 133-138. DOI: 10.11929/j.swfu.201911052
Citation: Bin Qin, Shao Liang, Quan Li, Xiang Wang, Hui Lin. Optimization of Manufacture of High Performance Bamboo-based Heat-curing Composite Board by Response Surface Methodology[J]. Journal of Southwest Forestry University, 2021, 41(2): 133-138. DOI: 10.11929/j.swfu.201911052

响应曲面法优化制备高性能竹基热固性复合板材的研究

Optimization of Manufacture of High Performance Bamboo-based Heat-curing Composite Board by Response Surface Methodology

  • 摘要: 以竹席、厚(薄)竹帘与杨木单板等为材料,施加酚醛树脂胶后按照对称、奇数和厚度原则,层与层之间纵横交错进行组坯,经热压制备成一种高性能竹基热固性复合板材,产品进行响应面法设计优化和数据分析。结果表明:最佳工艺条件为热压温度为140 ℃,热压时间为92 s/mm,热压压力为2.5 MPa。根据最优工艺参数对模型进行验证,产品弹性模量为8.74 GPa,静曲强度98.2 MPa,吸水厚度膨胀率为4.8%,胶合强度为0.91 MPa,密度为0.89 g/cm3。实际值与预测值接近,证实所获得的模型可以在不同条件下使用以热压三要素为变量准确预测产品的弹性模量。

     

    Abstract: Using bamboo mats, thick (thin) bamboo curtains and poplar veneers as materials, after applying phenolic resin glue, according to the principles of symmetry, odd numbers and thickness, the layers are crisscrossed to form blanks, which are prepared by hot pressing into high performance bamboo-based heat-curing composite board. The product was optimized by response surface method design and data analysis. The results show that the best process conditions are hot pressing temperature of 140 ℃, hot pressing time of 92 s/mm, and hot pressing pressure of 2.5 MPa. The model was verified according to the optimal process parameters. The product had an elastic modulus of 8.74 GPa, a static bending strength of 98.2 MPa, a water absorption thickness expansion rate of 4.8%, a gluing strength of 0.91 MPa, and a density of 0.89 g/cm3. The actual value is close to the predicted value, confirming that the obtained model can accurately predict the MOE of the product using the 3 factors of hot pressing as variables under different conditions.

     

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