3D Printing of Zirconia Nanoparticle/Boron Nitride Nanosheet Multidimensional Reinforced Acrylic Matrix Composites for Self-Lubricating Materials

Liang Yu, Yanan Zhu, Qian Wu, Lintao Zhou, Xinyu Wu,Yanjun Zhang,Jiping Zhou,Zhifeng Wang

ACS applied nano materials(2023)

引用 0|浏览2
暂无评分
摘要
Nanomaterials possess distinct properties, including surface effect, volume effect, and quantum size effect, which present vast prospects for their application in the tribology field of resin matrix composites. To improve the comprehensive performance of 3D printed acrylic matrix composites, the modified zirconia nanoparticles (mZrO(2)) and boron nitride nanosheets (mBNNs) were assembled through the coordination bonding of lanthanum ions to prepare mBNNs-La-mZrO(2) multidimensional nanoceramic reinforcements. The microscopic morphology and surface chemical properties of mBNNs-La-mZrO(2) underwent characterization and testing through the utilization of transmission electron microscopy, X-ray photoelectron spectroscopy, and Fourier transform infrared spectrometry. Furthermore, the preparation mechanism was studied. The research delved into the examination of the friction and wear behavior of acrylic resin and its composites. Additionally, the friction mechanism of different samples was proposed. The study revealed that the multidimensional nanoceramic reinforcement exhibited high surface chemical activity and effectively synergized mZrO(2) and mBNNs, resulting in enhanced antifriction and wear resistance of its composite. The composite reinforced by mBNNs-La-mZrO(2) yielded superior outcomes compared to pure acrylic resin with a 20.62% reduction in friction coefficient and a 65.75% decrease in wear rate. Combined with the flexibility offered by 3D printing technology, the study presents a novel approach for creating acrylic resin as a material for denture frameworks.
更多
查看译文
关键词
zirconia nanoparticles,boron nitride nanosheets,multidimensional nanoceramic reinforcement,3D printing,tribological properties
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要