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    林斌, 翟学勇, 李瑞, 孙立鹏, 张元婷, 尹玉雪, 刘镇波. 桦木单板/玻璃纤维复合材料的制备工艺优化[J]. 北京林业大学学报, 2019, 41(4): 127-135. DOI: 10.13332/j.1000-1522.20190049
    引用本文: 林斌, 翟学勇, 李瑞, 孙立鹏, 张元婷, 尹玉雪, 刘镇波. 桦木单板/玻璃纤维复合材料的制备工艺优化[J]. 北京林业大学学报, 2019, 41(4): 127-135. DOI: 10.13332/j.1000-1522.20190049
    Lin Bin, Zhai Xueyong, Li Rui, Sun Lipeng, Zhang Yuanting, Yin Yuxue, Liu Zhenbo. Optimization of preparation process of birch veneer/glass fiber composite[J]. Journal of Beijing Forestry University, 2019, 41(4): 127-135. DOI: 10.13332/j.1000-1522.20190049
    Citation: Lin Bin, Zhai Xueyong, Li Rui, Sun Lipeng, Zhang Yuanting, Yin Yuxue, Liu Zhenbo. Optimization of preparation process of birch veneer/glass fiber composite[J]. Journal of Beijing Forestry University, 2019, 41(4): 127-135. DOI: 10.13332/j.1000-1522.20190049

    桦木单板/玻璃纤维复合材料的制备工艺优化

    Optimization of preparation process of birch veneer/glass fiber composite

    • 摘要:
      目的为了探究工艺因子对复合材料声学振动性能的影响,优化复合材料制备工艺条件参数以提高复合材料声学振动性能。
      方法按照单板层积材结构设计制备桦木单板/玻璃纤维复合材料。利用双通道快速傅里叶变换频谱分析仪(FFT)对复合材料的声学振动性能进行检测,以比动弹性模量(E/ρ)、弹性模量和剪切模量的比值(E/G)、声辐射品质常数(R)、损耗角正切(tanσ)、声速(v)归一后的综合得分值为响应指标,分析热压时间、热压压力、施胶量对复合材料的声学振动性能的影响。在单因素实验的基础上,利用响应面分析法建立工艺因子和响应值的二次回归模型,优化复合材料的制备工艺条件。
      结果单因素实验范围内,在热压时间10 ~ 25 min、热压压力0.6 ~ 1.3 MPa、施胶量140 ~ 180 g/m2时,复合材料声学振动性能显著提升,说明实验的工艺因子对复合材料声学振动性能影响显著。利用Design-Expert软件对复合材料的声学振动性能测试结果进行二次多项式回归拟合,剔除对模型影响不显著的因素,建立了复合材料综合得分值的响应面模型。通过响应面模型优化后的最佳工艺条件为:热压时间24.5 min、热压压力1.3 MPa、施胶量180 g/m2,此条件下复合材料的E/ρ为25.27 GPa,E/G为15.99,R为6.48 m3/(Pa·s3),tanσ为0.001 25,v为5 026.55 m/s,综合得分值可达到98.19。
      结论综合得分值的模型P < 0.000 1,响应值的实测值和预测值之间的偏差均小于5%,说明响应值与回归模型均存在高度显著关系,也说明回归模型准确、可靠。

       

      Abstract:
      ObjectiveIn order to investigate the influence of process factors on the acoustic vibration performance of composites, the process parameters of composite preparation were optimized to improve the acoustic vibration performance of composites.
      MethodThe test was designed according to the structure principle of laminated veneer lumber to prepare birch veneer/glass fiber composites. FFT was used to detect the acoustic vibration properties of composite materials. The comprehensive score after normalization of the specific dynamic elastic modulus (E/ρ), the ratio of elastic modulus and shear modulus (E/G), acoustic radiation damping (R), loss tangent (tanσ), and sound velocity (v) was used as the response indicators to analyze the influence of hot-press time, hot-press pressure and resin sizing amount on the acoustic vibration performance of composite materials. Based on the single factor experiment, the response surface methodlogy was used to establish the quadratic regression model of process factor and response value to optimize the preparation conditions of composite materials.
      ResultWithin the scope of the single factor experiment, when the hot-press time was 10−25 min, the pressure was 0.6−1.3 MPa, and the resin sizing amount was 140−180 g/m2, the acoustic vibration performance of the composite materials was significantly improved. Those experiments used Design-Expert to perform quadratic polynomial regression fitting on the acoustic vibration performance test results of composite materials, eliminating the factors that have no significant influence on the model, and the response surface model of composite scores was established. The optimal process conditions optimized by the response surface model were hot-press time 24.5 min, hot-press pressure 1.3 MPa, resin sizing amount 180 g/cm2. Under the conditions, the E/ρ of the composite reached 25.27 GPa, E/G was 15.99, R was 6.48 m3/(Pa·s3), tanσ was 0.001 25, v was 5 026.55 m/s, and the comprehensive score reached 98.19.
      ConclusionThe P of the comprehensive score model was less than 0.000 1, the deviation between the measured value and the predicted value was less than 5%, indicating that the response value has a highly significant relationship with the regression model. It also shows that the regression model is accurate and reliable.

       

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