Şenol Bayraktar

Dr. Şenol Bayraktar

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 May 2025 in Polymers
Verified
Journal Article
Open access
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CACem Alparslan
Cem Alparslan
ŞBŞenol Bayraktar
Şenol Bayraktar
Digital light processing (DLP) technology stands out as a groundbreaking method in the field of biomedical engineering that enables the production of highly precise structures using photopolymerizable materials. Smart materials such as shape memory polymers, hydrogels, and nanocomposites are used as ideal materials for personalized medicine applications thanks to their properties such as superior mechanical strength, biocompatibility, and sensitivity to environmental stimuli in DLP technology. The integration of these materials with DLP enables the production of functional and complex structures, especially in areas such as bone and soft tissue engineering, drug delivery, and biosensor production. However, limited material diversity, scalability problems in production processes, and technical difficulties in optimizing bioprinting parameters are among the main obstacles in this field. This study systematically examines the role of smart biomaterials in DLP-based bioprinting processes. It addresses the innovative applications of these materials in tissue engineering and regenerative medicine. It also comprehensively evaluates its contributions to biomedical applications and discusses future research areas to overcome current limitations.


23 March 2020 in Journal of the Brazilian Society of Mechanical Sciences and Engineering
Verified
Journal Article
Closed access
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ŞBŞenol Bayraktar
Şenol Bayraktar
FAFurkan Afyon
Furkan Afyon

17 February 2020 in Materials and Manufacturing Processes
Verified
Journal Article
Closed access
ŞBŞenol Bayraktar
Şenol Bayraktar
ODOnur Demir
Onur Demir
In this study, ternary Al-12Si-0.6Mg material was manufactured by gravity die casting method in induction melting furnace. Microstructure images of alloy were taken on optical microscope after T6 heat treatment. Hardness, yield and tensile strength and breaking elongation of as-cast and heat-treated materials were measured by universal methods. CNC lathe was used for cutting tests and dynamometer was used to measure cutting force. Cutting tests were performed by using different cutting speeds-CS (450-500-550 m/min), feed rates-FR (0.05–0.15-0.25 mm/rev) and constant depth of cut-DOC (1.5 mm). Uncoated (A), CVD-TiCN + TiN (B) and PVD-TiAlN+TiN (C) coated carbide inserts were selected as a cutting tool. In the microstructural observations, it was determined that the structure of the material made up of aluminum rich α, primary and eutectic silicon, δ (Al4FeSi2) and π (Al8Mg3FeSi6) phases. The heat treatment refined the phases in the structure of the alloy. In addition, it has been determined that it improves mechanical properties (hardness, yield and tensile strength) by spheroidizing silicon particles. As a result of the cutting tests, it was detected that the cutting force (CF) reduced with T6 heat treatment at all CS and FR values. The CF, BUE (Built up edge) and BUL (Built up layer) heightened with increasing FR, while it reduced with increasing CS on all cutting tools. CF, BUE and BUL were formed at least in tools A, B and C, respectively. While continuous chip formation was detected in the as-cast part, brittle chip formation was observed in the heat-treated part due to the reduction in breaking elongation of the material.


3 January 2020 in Metals and Materials International
Verified
Journal Article
Closed access
PDF file
ŞBŞenol Bayraktar
Şenol Bayraktar
AHAli Paşa Hekimoğlu
Ali Paşa Hekimoğlu