期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
Multifunctional HDPE/Cu biocidal nanocomposites for MEX additive manufactured parts: Perspectives for the defense industry
1
作者 Nectarios Vidakis Nikolaos Michailidis +7 位作者 Markos Petousis Nektarios K.Nasikas Vassilios Saltas Vassilis Papadakis Nikolaos Mountakis Apostolos Argyros Mariza Spiridaki Ioannis Valsamos 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2024年第8期16-32,共17页
In this study, we investigated the performance improvement caused by the addition of copper(Cu)nanoparticles to high-density polyethylene(HDPE) matrix material. Composite materials, with filler percentages of 0.0, 2.0... In this study, we investigated the performance improvement caused by the addition of copper(Cu)nanoparticles to high-density polyethylene(HDPE) matrix material. Composite materials, with filler percentages of 0.0, 2.0, 4.0, 6.0, 8.0, and 10.0 wt% were synthesized through the material extrusion(MEX)3D printing technique. The synthesized nanocomposite filaments were utilized for the manufacturing of specimens suitable for the experimental procedure that followed. Hence, we were able to systematically investigate their tensile, flexural, impact, and microhardness properties through various mechanical tests that were conducted according to the corresponding standards. Broadband Dielectric Spectroscopy was used to investigate the electrical/dielectric properties of the composites. Moreover, by employing means of Raman spectroscopy and thermogravimetric analysis(TGA) we were also able to further investigate their vibrational, structural, and thermal properties. Concomitantly, means of scanning electron microscopy(SEM), as well as atomic force microscopy(AFM), were used for the examination of the morphological and structural characteristics of the synthesized specimens, while energy-dispersive Xray spectroscopy(EDS) was also performed in order to receive a more detailed picture on the structural characteristics of the various synthesized composites. The corresponding nanomaterials were also assessed for their antibacterial properties regarding Staphylococcus aureus(S. aureus) and Escherichia coli(E. coli) with the assistance of a method named screening agar well diffusion. The results showed that the mechanical properties of HDPE benefited from the utilization of Cu as a filler, as they showed a notable improvement. The specimen of HDPE/Cu 4.0 wt% was the one that presented the highest levels of reinforcement in four out of the seven tested mechanical properties(for example, it exhibited a 36.7%improvement in the flexural strength, compared to the pure matrix). At the same time, the nanocomposites were efficient against the S. aureus bacterium and less efficient against the E. coli bacterium.The use of such multi-functional, robust nanocomposites in MEX 3D printing is positively impacting applications in various fields, most notably in the defense and security sectors. The latter becomes increasingly important if one takes into account that most firearms encompass various polymeric parts that require robustness and improved mechanical properties, while at the same time keeping the risk of spreading various infectious microorganisms at a bare minimum. 展开更多
关键词 high-density polyethylene(hdpe) Copper(Cu) Material extrusion(MEX) Mechanical performance Electrical properties ANTIBACTERIAL Defense and security
在线阅读 下载PDF
偶联剂含量对植物纤维/高密度聚乙烯复合材料力学性能的影响 被引量:14
2
作者 许民 陶红梅 +1 位作者 陈磊 刘琨 《东北林业大学学报》 CAS CSCD 北大核心 2007年第10期33-34,共2页
固定植物纤维和高密度聚乙烯比例为4∶6,在一定挤出工艺条件下,制备植物纤维/高密度聚乙烯复合材料,研究偶联剂含量对稻草/高密度聚乙烯复合材料和玉米秸秆/高密度聚乙烯复合材料力学性能的影响。结果表明:偶联剂质量分数为3%时,复合材... 固定植物纤维和高密度聚乙烯比例为4∶6,在一定挤出工艺条件下,制备植物纤维/高密度聚乙烯复合材料,研究偶联剂含量对稻草/高密度聚乙烯复合材料和玉米秸秆/高密度聚乙烯复合材料力学性能的影响。结果表明:偶联剂质量分数为3%时,复合材料的弯曲强度较好,稻草/高密度聚乙烯的弯曲强度提高了50.92%,除去秸叶和秸穰的玉米秸秆/高密度聚乙烯的弯曲强度提高了66.69%;偶联剂质量分数为6%时,复合材料的拉伸强度较好,稻草/高密度聚乙烯的拉伸强度提高了19.44%,除去秸叶和秸穰的玉米秸秆/高密度聚乙烯复合材料的拉伸强度提高了35.18%。 展开更多
关键词 植物纤维 高密度聚乙烯 偶联剂 复合材料 力学性能
在线阅读 下载PDF
基于极限学习的过程神经网络研究及化工应用 被引量:9
3
作者 刘菲菲 彭荻 +1 位作者 贺彦林 朱群雄 《上海交通大学学报》 EI CAS CSCD 北大核心 2014年第7期977-981,共5页
针对过程神经网络在化工过程建模中学习速度慢、易陷入局部极值等问题,借鉴极限学习机算法训练网络参数的思想,提出了一种新型的基于极限学习的过程神经网络(EL-PNN).ELPNN网络以过程神经网络的方式得到隐含层的输出后,不再使用梯度下... 针对过程神经网络在化工过程建模中学习速度慢、易陷入局部极值等问题,借鉴极限学习机算法训练网络参数的思想,提出了一种新型的基于极限学习的过程神经网络(EL-PNN).ELPNN网络以过程神经网络的方式得到隐含层的输出后,不再使用梯度下降法进行参数调整,而是根据极限学习机算法通过广义逆直接求解输出权值.同时,为了进一步提高网络的泛化性能,考虑结构风险,在EL-PNN网络中加入风险比例参数.以高密度聚乙烯装置进行验证,结果表明,该网络具有学习速度快、建模精度高的特点,为过程神经网络在复杂化工生产中的应用提供了新思路. 展开更多
关键词 过程神经网络 极限学习机 高密度聚乙烯 过程建模
在线阅读 下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部