LAPSE:2020.0907
Published Article
LAPSE:2020.0907
Electro-Discharge Machining of Zr67Cu11Ni10Ti9Be3: An Investigation on Hydroxyapatite Deposition and Surface Roughness
Abdul’Azeez Abdu Aliyu, Ahmad Majdi Abdul-Rani, Saeed Rubaiee, Mohd Danish, Michael Bryant, Sri Hastuty, Muhammad Al’Hapis Razak, Sadaqat Ali
August 5, 2020
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.
Keywords
coating, deposition rate, elecro-discharge, hydroxyapatite, machining, metallic glass, Optimization, RSM, surface roughness
Suggested Citation
Aliyu AA, Abdul-Rani AM, Rubaiee S, Danish M, Bryant M, Hastuty S, Razak MA, Ali S. Electro-Discharge Machining of Zr67Cu11Ni10Ti9Be3: An Investigation on Hydroxyapatite Deposition and Surface Roughness. (2020). LAPSE:2020.0907
Author Affiliations
Aliyu AA: Mechanical Engineering Department, Bayero University Kano, 700241 Kano, Nigeria
Abdul-Rani AM: Mechanical Engineering Department, Universiti Teknologi PETRONAS (UTP), 32610 Seri Iskandar, Malaysia [ORCID]
Rubaiee S: Department of Mechanical and Materials Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia; Department of Industrial and Systems Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia [ORCID]
Danish M: Department of Mechanical and Materials Engineering, University of Jeddah, Jeddah 21589, Saudi Arabia [ORCID]
Bryant M: Institute of Thermo Fluids (iTF), School of Mechanical Engineering, University of Leeds, Woodhouse Lane, Leeds LS2 9JT, UK
Hastuty S: Mechanical Engineering Department, Universitas PERTAMINA, Jakarta 12220, Indonesia
Razak MA: Manufacturing Section, Universiti Kuala Lumpur Malaysian Spanish Institute, Kulim Hi-Tech Park, 09000 Kedah, Malaysia [ORCID]
Ali S: School of Mechanical & Manufacturing Engineering, National University of Sciences and Technology (NUST), Islamabad H-12, Pakistan
Journal Name
Processes
Volume
8
Issue
6
Article Number
E635
Year
2020
Publication Date
2020-05-26
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr8060635, Publication Type: Journal Article
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LAPSE:2020.0907
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doi:10.3390/pr8060635
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Aug 5, 2020
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Calvin Tsay
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