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首页> 外文期刊>Journal of Applied Polymer Science >Optimization of acoustic performances of a new tung oleic acid-based composite polyurethane foam
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Optimization of acoustic performances of a new tung oleic acid-based composite polyurethane foam

机译：新型东油酸基复合聚氨酯泡沫的声学性能优化

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摘要

Bio-based polyurethane (PU) foam, different from traditional PU foam, is a new green environmental acoustic material. It can be used in the field of automobiles. In this work, a new tung oleic acid-based composite PU (TOAPU) foam was prepared using tung oleic acid-based polyol and polyether polyols 3630. It is important to optimize the formulation of TOAPU foam for better acoustic performance. The effect of each component on the acoustic performance of TOAPU is ordered by screening test. A1, silicone, and A33, the three components that have the greatest impact on the acoustic performance of TOAPU, are used as variables. The response surface method is used to create the model of the effects of different components on the acoustic properties of TOAPU. The model was optimized by using nondominated sorting genetic algorithm II method. The optimized acoustic performance property of TOAPU foams was synthesized by adding 0.27 g of A1, 1.03 g of A33, and 2.81 g of silicone oil. The experimental results show that the mean sound absorption coefficient and transmission loss can reach 0.515 and 21.389 dB. (c) 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47861.
机译：生物基聚氨酯（PU）泡沫，与传统的PU泡沫不同，是一种新的绿色环境声学材料。它可以用于汽车领域。在这项工作中，使用桐油酸基多元醇和聚醚多元醇3630制备一种新的桐油酸基复合物PU（ToAPU）泡沫。重要的是优化Toapu泡沫的配方，以获得更好的声学性能。通过筛选测试命令每个组分对托普声学性能的影响。 A1，硅胶和A33，对Toapu的声学性能产生最大的三个组件，用作变量。响应表面方法用于创建不同分量对Toapu声学特性的影响模型。通过使用NondoMinated分类遗传算法II方法优化模型。通过加入0.27g A1,1.03g A33和2.81g硅油来合成Toapu泡沫的优化声学性能。实验结果表明，平均吸收系数和传输损耗可达到0.515和21.389 dB。 （c）2019 Wiley期刊，Inc.J.Phill。聚合物。 SCI。 2019,136,47861。

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