nHA-CNTs增强PEEK杂化纳米复合材料制备工艺优化及表征

IF 1.3 4区 材料科学 Q4 MATERIALS SCIENCE, MULTIDISCIPLINARY Emerging Materials Research Pub Date : 2023-09-01 DOI:10.1680/jemmr.22.00018
Rajesh Kumar, Manjeet Kumar, Sandeep Kumar
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引用次数: 1

摘要

压缩成型是聚合物复合材料的主要制造工艺。工艺参数的设置对复合材料的力学性能有很大影响。本文优化了用田口法制备PEEK、多壁碳纳米管和纳米羟基磷灰石基杂化纳米复合材料的球混合和模压工艺参数。采用静态力学分析的纳米压痕法检测的弹性模量作为输出响应变量。最大弹性模量的最佳混合时间、模具温度、模具压力和保温时间工艺参数分别为90分钟、400°C、150巴和15分钟。“方差分析”技术分析了模具温度对将弹性模量提高到最大值的贡献最大(46.82%)。30的PEEK基杂化纳米复合材料的弹性模量和硬度 wt.%nHA和3 观察到wt.%MWCNT比纯PEEK的MWCNT高83%和65%。PEEK的亲水性随着nHA的增强而提高,这归因于nHA的化学结构中存在含氧官能团。
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Fabrication process optimization and characterization of nHA-CNTs reinforced PEEK hybrid nanocomposite
Compression molding is the leading fabrication process for polymer composites. The settings of process parameters highly influence the mechanical properties of composites. This manuscript optimizes the ball mixing and compression molding process parameters for the fabrication of PEEK, multiwall carbon nanotubes, and nano-hydroxyapatite-based hybrid nanocomposite by the Taguchi method. The elastic modulus examined by the nanoindentation method of static mechanical analysis was taken as the output response variable. The optimum levels of mixing time, mold temperature, mold pressure, and holding time process parameters for maximum elastic modulus were found to be 90 minutes, 400 °C, 150 bar, and 15 minutes, respectively. The ‘Analysis of Variance’ technique analyzed that the mold temperature had the highest contribution (46.82%) in enhancing the elastic modulus to the largest value. The elastic modulus and hardness of PEEK-based hybrid nanocomposite with 30 wt.% nHA and 3 wt.% MWCNTs were observed to be 83% and 65% more than that of pure PEEK. The hydrophilicity of PEEK was improved with the reinforcement of nHA, attributed to the presence of oxygen-containing functional groups in the chemical structure of nHA.
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来源期刊
Emerging Materials Research
Emerging Materials Research MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
4.50
自引率
9.10%
发文量
62
期刊介绍: Materials Research is constantly evolving and correlations between process, structure, properties and performance which are application specific require expert understanding at the macro-, micro- and nano-scale. The ability to intelligently manipulate material properties and tailor them for desired applications is of constant interest and challenge within universities, national labs and industry.
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