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由银杏纤维和聚乳酸制成的复合材料表现出非等温结晶动力学。

Composites made of Ginkgo biloba fibers and polylactic acid exhibit non-isothermal crystallization kinetics.

机构信息

School of Materials Science & Engineering, North Minzu University, Yinchuan 750021, China.

School of Materials Science & Engineering, North Minzu University, Yinchuan 750021, China.

出版信息

Int J Biol Macromol. 2023 Dec 31;253(Pt 5):127232. doi: 10.1016/j.ijbiomac.2023.127232. Epub 2023 Oct 2.

Abstract

Polymer crystallization affects material microstructure and the final product quality, and the crystallization kinetics that govern this process are critical. In this study, alkali-treated Ginkgo biloba fibers (GFs) were melt blended with polylactic acid (PLA) to obtain GF/PLA blends. The non-isothermal crystallization kinetics of the GF/PLA composites were subsequently investigated using the Avrami, Jeziorny, Ozawa, and Liu-Mo methods, and the crystallization activation energies of the systems were calculated by Kissinger and Friedman models. The results showed that the GFs significantly promoted PLA crystallization, accelerated the crystallization rate, and shortened the crystallization time. The Avrami method showed some deviation from the linear relationship due to the effect of secondary crystallization, while the numeric value obtained by the Jeziorny method increased with the cooling rate. The Ozawa method could only be used in a very narrow range of temperatures, while the Liu-Mo method showed a more desirable fit. Crystallization activation energy calculations showed that the GFs promoted an increase in the crystallization capacity of the blend and a decrease in the effective potential barrier. This resulted in more selective biocomposites than pure PLA, offering greater applicability in domains including tissue engineering and 3D printing.

摘要

聚合物结晶会影响材料的微观结构和最终产品质量,而控制这一过程的结晶动力学至关重要。在这项研究中,我们将经过碱处理的银杏纤维(GF)与聚乳酸(PLA)熔融共混,得到 GF/PLA 共混物。随后,我们采用 Avrami、Jeziorny、Ozawa 和 Liu-Mo 方法研究了 GF/PLA 复合材料的非等温结晶动力学,并通过 Kissinger 和 Friedman 模型计算了体系的结晶活化能。结果表明,GF 显著促进了 PLA 的结晶,加速了结晶速率,缩短了结晶时间。Avrami 方法由于二次结晶的影响,与线性关系存在一定偏差,而 Jeziorny 方法得到的数值随冷却速率的增加而增加。Ozawa 方法只能在很窄的温度范围内使用,而 Liu-Mo 方法的拟合效果更好。结晶活化能的计算表明,GF 促进了共混物结晶能力的提高和有效势垒的降低。这使得共混物比纯 PLA 更具选择性,在组织工程和 3D 打印等领域具有更大的适用性。

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