The aim of the paper is to determine the effects of nano fillers such as cellulose nanofibrils and nano-scaled titanium dioxide on some properties of polyhydroxybutyrate and polylactic acid biopolymers; it also determined the selection of biopolymer nanocomposites with the optimum properties by using multicriteria decision-making methods such as multi-attribute utility theory, simple additive weighting, and weighted aggregated sum product assessment. Test results showed that the mechanical properties of the biopolymer nanocomposites generally increased with the addition of the cellulose nanofibrils and nano-scaled titanium dioxide. However, the addition of nano-scaled titanium dioxide decreased the tensile modulus. The addition of the cellulose nanofibrils had a higher effect on the tensile and flexure modulus of elasticity than the addition of the nano-scaled titanium dioxide. Thermal properties were generally found to improve with the addition of the cellulose nanofibrils and nano-scaled titanium dioxide. Melting temperature (Tm) generally decreased with the addition of the nano fillers. The scanning electron microscopic images showed that the nano fillers were dispersed as white dots in the biopolymer matrix. After accelerated weathering and decay test, outdoor performance of the biopolymer nanocomposites was found to be improved with the addition of the nano fillers. Multicriteria decision-making methods were conducted to determine the biopolymer nanocomposites having the optimum properties, and all the methods showed that the best biopolymer nanocomposites was polylactic acid with 1% cellulose nanofibrils.

中文翻译：

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纤维素纳米纤维和纳米级二氧化钛增强生物聚合物纳米复合材料：用多标准决策方法选择最佳纳米复合材料

该论文的目的是确定纳米填料如纤维素纳米纤丝和纳米级二氧化钛对聚羟基丁酸酯和聚乳酸生物聚合物的某些性能的影响；它还通过使用多属性效用理论、简单加法加权和加权聚合总和评估等多准则决策方法来确定具有最佳性能的生物聚合物纳米复合材料的选择。测试结果表明，随着纤维素纳米原纤维和纳米二氧化钛的加入，生物聚合物纳米复合材料的力学性能普遍提高。然而，纳米级二氧化钛的加入降低了拉伸模量。与添加纳米级二氧化钛相比，添加纤维素纳米纤丝对拉伸和弯曲弹性模量具有更高的影响。通常发现随着纤维素纳米纤丝和纳米级二氧化钛的加入，热性能得到改善。熔融温度（Tm）通常随着纳米填料的加入而降低。扫描电子显微图像显示纳米填料以白点形式分散在生物聚合物基质中。经过加速老化和衰减试验，发现纳米填料的加入提高了生物聚合物纳米复合材料的户外性能。进行了多标准决策方法来确定具有最佳性能的生物聚合物纳米复合材料，