Researcher:
Özdemir, Hüseyin Can

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PhD Student

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Hüseyin Can

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Özdemir

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Özdemir, Hüseyin Can

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2022 - 20232

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    Machine learning-assisted design of biomedical high entropy alloys with low elastic modulus for orthopedic implants
    (Springer, 2022) Canadinc, D.; Bedir, E.; Yilmaz, R.; N/A; N/A; N/A; Department of Mechanical Engineering; Özdemir, Hüseyin Can; Yağcı, Mustafa Barış; Kılıç, Elif Bedir; Canadinç, Demircan; PhD Student; Researcher; PhD Student; Faculty Member; Department of Mechanical Engineering; Koç University Surface Science and Technology Center (KUYTAM) / Koç Üniversitesi Yüzey Teknolojileri Araştırmaları Merkezi (KUYTAM); Graduate School of Sciences and Engineering; N/A; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; N/A; 23433
    This paper focuses on finding an optimum composition for the TiTaHfNbZr quinary high entropy alloy (HEA) system with an elastic modulus close to that of bone in order to attain a better biomechanical compatibility between the bone and the implant in orthopedic applications. To obtain the composition providing the desired structural match, machine learning (ML) tools were implemented in the current work instead of conventional trial-and-error methods. The ML algorithms utilized in this study were trained using experimental data available in the literature and then utilized to predict the optimum HEA compositions with the lowest elastic moduli. Consequently, the Ti23Ta10Hf27Nb12Zr28 and Ti28Ta10Hf30Nb14Zr18 compositions were predicted as the optimum HEA compositions with elastic moduli of 83.5 +/- 2.9 and 87.4 +/- 2.2 GPa, respectively. The materials were manufactured, and the elastic moduli were validated with nanoindentation experiments. The samples were also exposed to static immersion experiments in simulated body fluid (SBF) for 28 days to gain insight and information regarding the ion release and ensure that the new HEAs are biocompatible. The findings of the work reported herein demonstrate that the proposed ML model can successfully predict HEA compositions for an optimized biomechanical compatibility for orthopedic applications and warrant further biomedical research on the two new HEAs prior to their utility as orthopedic implant materials.
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    Optimizing mechanical properties and Ag ion release rate of silver coatings deposited on Ti-based high entropy alloys
    (Elsevier Ltd, 2023) Yilmaz R.; N/A; N/A; N/A; Department of Mechanical Engineering; Özdemir, Hüseyin Can; Yağcı, Mustafa Barış; Kılıç, Elif Bedir; Canadinç, Demircan; PhD Student; Researcher; PhD Student; Faculty Member; Department of Mechanical Engineering; Koç University Surface Science and Technology Center (KUYTAM) / Koç Üniversitesi Yüzey Teknolojileri Araştırmaları Merkezi (KUYTAM); Graduate School of Sciences and Engineering; N/A; Graduate School of Sciences and Engineering; College of Engineering; N/A; N/A; N/A; 23433
    This paper details the characterization of microstructure, texture, mechanical properties, and ion release behavior of antibacterial Ag thin films sputtered on two novel biomedical high entropy alloys (HEAs), namely the Ti23Ta10Hf27Nb12Zr28 (HEA–Ti23) and Ti28Ta10Hf30Nb14Zr18 (HEA–Ti28) alloys. Specifically, the influences of varying deposition time and Ar flow rate were investigated to reveal the mechanisms dictating the microstructure, texture, and mechanical properties of the coatings. In addition, static immersion experiments were carried out in simulated body fluid (SBF) for 28 days to establish the relationship between ion release from the coatings and the deposition parameters, microstructure, and surface texture. It was shown that texture evolution in Ag thin films depends on both film thickness and Ar flow rate, such that there exists a critical thickness at which the energy minimization mechanism is altered. A very good correlation was also observed between an increase in (111) peak intensity and a decrease in released Ag ion fraction. Overall, the findings of the work presented herein suggest that the alterations in Ag deposition parameters could be optimized to obtain the desired mechanical properties while enhancing the biocompatibility of the HEA substrates by coating them with antibacterial Ag films. 2023 Elsevier B.V.