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优化聚酯/椰子壳灰(CSA)复合材料的机械性能,以应用于轻质工程。

Optimization of the mechanical properties of polyester/coconut shell ash (CSA) composite for light-weight engineering applications.

机构信息

Department of Metallurgical and Materials Engineering, Federal University of Technology, Akure, 340001, Nigeria.

Department of Mechanical Engineering, Landmark University, PMB, Omu-Aran, 1001, Kwara State, Nigeria.

出版信息

Sci Rep. 2023 Jan 19;13(1):1066. doi: 10.1038/s41598-022-26632-x.

Abstract

The mechanical properties of coconut shell ash (CSA) reinforced polyester composite have been optimized. Various test specimens were developed by dispersing 10, 20, 30 and 40 wt.%, of CSA in unsaturated polyester resin in decreasing particle sizes of 40, 30, and 20 µm in an open mould using hand lay-up technique. Tensile, flexural, and impact strengths, as well as tensile and flexural moduli and Shore D hardness of all test samples were determined. The results showed that 10-20 wt.% CSA increased tensile, flexural, impact strengths and flexural modulus for all particle sizes, but 30-40 wt. % CSA engendered depreciation in corresponding performance. For all particle sizes, 10-40 wt. percent CSA resulted in an increase in tensile strength, whereas 10-40 wt. percent resulted into a linear increase in Shore D hardness. Further observation portrayed that in each case, the finest CSA (20 µm) have the optimum result. Statistical analysis carried out on experimental outcomes confirmed the experimental variables (particle proportion and sizes) to be significant. From the surface plot, the strength responses revealed more dependence on the individual variables than their interactions. Regression models developed for individual responses are termed statistically fit in representing the experimental data.

摘要

椰壳灰(CSA)增强聚酯复合材料的力学性能已得到优化。通过在开放式模具中使用手糊技术,将 CSA 以 10、20、30 和 40wt.%的比例分散在不饱和聚酯树脂中,并将 CSA 的粒径减小到 40、30 和 20µm,制备了各种测试样本。测定了所有测试样品的拉伸、弯曲和冲击强度,以及拉伸和弯曲模量和肖氏 D 硬度。结果表明,10-20wt.% CSA 提高了所有粒径的拉伸、弯曲和冲击强度以及弯曲模量,但 30-40wt.% CSA 导致相应性能下降。对于所有粒径,10-40wt.% CSA 导致拉伸强度增加,而 10-40wt.% CSA 导致肖氏 D 硬度呈线性增加。进一步观察表明,在每种情况下,最细的 CSA(20µm)都具有最佳效果。对实验结果进行的统计分析证实了实验变量(颗粒比例和尺寸)的重要性。从表面图可以看出,强度响应比它们的相互作用更依赖于单个变量。为各个响应开发的回归模型在表示实验数据方面被认为是统计上合适的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acc4/9852250/25524fe12984/41598_2022_26632_Fig1_HTML.jpg

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