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Electro-Discharge Machining of Zr67Cu11Ni10Ti9Be3: An Investigation on Hydroxyapatite Deposition and Surface Roughness
Processes ( IF 3.5 ) Pub Date : 2020-05-26 , DOI: 10.3390/pr8060635
Abdul’Azeez Abdu Aliyu , Ahmad Majdi Abdul-Rani , Saeed Rubaiee , Mohd Danish , Michael Bryant , Sri Hastuty , Muhammad Al’Hapis Razak , Sadaqat Ali

This study attempts to simultaneously machine and synthesize a biomimetic nanoporous hydroxyapatite coating on the Zr67Cu11Ni10Ti9Be3 bulk metallic glass (BMG) surface. The aim is to investigate and optimize the hydroxyapatite deposition rate and the surface roughness during the electro-discharge coating of Zr67Cu11Ni10Ti9Be3 BMG. Scanning Electron Microscopy (SEM), X-ray powder Diffraction (XRD) and Energy-dispersive X-ray Spectroscopy (EDS) were employed to characterize and analyze the results. Response Surface Methodology using D-optimum custom design approach was utilized to generate the models and optimize the input parameters. A globule nanostructured and nanoporous coating of about 25.2 µm thick, containing mainly Ca, O, and K were ascertained. Further XRD analysis confirmed the deposition of biocompatible oxides (HA, CaZrO3, and ZrO2) and hard ZrC coating on the Zr67Cu11Ni10Ti9Be3 BMG surface. A significant improvement in cell viability was observed in the HA electro-discharge coated BMG specimens. The numerical models for the Hydroxyapatite Deposition Rate (HDR) and Surface Roughness (SR) were developed and experimentally validated using the optimized parameters setting suggested by the software. The achieved average predicted error of 4.94 and 5.09% for the HDR and SR respectively confirmed the excellent reproducibility of the developed models.

中文翻译:

Zr67Cu11Ni10Ti9Be3的电火花加工:羟基磷灰石沉积和表面粗糙度的研究

这项研究试图在Zr 67 Cu 11 Ni 10 Ti 9 Be 3大块金属玻璃(BMG)表面上同时机加工和合成仿生纳米多孔羟基磷灰石涂层。目的是研究和优化Zr 67 Cu 11 Ni 10 Ti 9 Be 3放电涂覆过程中羟基磷灰石的沉积速率和表面粗糙度 BMG。使用扫描电子显微镜(SEM),X射线粉末衍射(XRD)和能量色散X射线光谱(EDS)来表征和分析结果。使用D最佳定制设计方法的响应面方法用于生成模型和优化输入参数。确定了球状纳米结构和纳米多孔涂层,厚度约为25.2 µm,主要包含Ca,O和K。进一步的XRD分析证实了生物相容性氧化物(HA,CaZrO 3和ZrO 2)的沉积以及Zr 67 Cu 11 Ni 10 Ti 9 Be 3上的硬ZrC涂层。BMG表面。在HA放电涂覆的BMG标本中观察到细胞活力的显着改善。开发了羟基磷灰石沉积速率(HDR)和表面粗糙度(SR)的数值模型,并使用软件建议的优化参数设置进行了实验验证。HDR和SR的平均预测误差分别为4.94和5.09%,这证实了所开发模型的出色再现性。
更新日期:2020-05-26
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