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Öğe Additive manufacturing of smart polymeric composites: Literature review and future perspectives(John Wiley and Sons Inc, 2022) Ikram, H.; Al, Rashid, A.; Koç, M.The latest developments in smart systems for improved human lives with advanced biomedical devices have evolved out of multi-disciplinary scientific studies, including medicine, biology, material sciences, design, manufacturing, artificial intelligence, microelectronics, and so forth. The growth of such intelligent systems is primarily possible with innovative materials, which demonstrate the response to various external stimuli like temperature, heat, moisture, light, electromagnetic field, and chemical alteration. Such materials have been recently fabricated using different additive manufacturing techniques to devise personalized unique, complex, and novel structures that can adjust to external conditions over time and are specifically attributed to 4D printing. Novel materials that can further improve such systems continued to be explored and employed. This review paper investigates the additive manufacturing of functional polymer nanocomposites, which offer compliant structures with flexible manufacturing processes with high strength, low cost, and long-term stability. This study aims to deliver a comprehensive and deep understanding of the latest developments in materials, design, manufacturing, fundamental mechanisms involved, and future possibilities in this area of research. © 2022 The Authors. Polymer Composites published by Wiley Periodicals LLC on behalf of Society of Plastics Engineers.Öğe Modulated Model Predictive Torque Control for Interior Permanent Magnet Synchronous Machines(TUBITAK, 2022) Körpe, U.U.; Gökdag, M.; Koç, M.; Gülbüdak, O.Thanks to the advancements in the processor industry, the popularity in the industrial applications of Finite control set model predictive control (FCS-MPC) is increasing. FCS-MPC has several advantages, such as high closed-loop bandwidth, the inclusion of the control constraints, and nonlinearities. However, the control signals are directly produced by the predictive controller since no modulator is used. Hence, the system has non-fixed switching frequency, and the maximum achievable switching frequency is limited by the half of the sampling frequency. However, the control goals may suffer from the undesired ripples in case of a noticeable low switching frequency. To eliminate these ripples the sampling period of the system can be reduced. But this increases the computational burden on the processor. To overcome the unwanted oscillations in the control variables and decrease the computational burden on the processor, a modulated model predictive control (M2PC) strategy is proposed in this paper. The M2PC combines the space vector pulse width modulator (SVPWM) and FCS-MPC. Torque of the interior permanent magnet synchronous motor (IPMSM) is controlled with M2PC method. The motor is controlled in a constant torque region with the combination of the M2PC method and maximum torque per ampere (MTPA) control strategy. The comparative results of the conventional MPC method and M2PC method are reported in the paper and the superiority of the M2PC strategy is validated by simulation works. The results demonstrate that the M2PC method significantly reduces total harmonic distortion (THD) in stator currents. Based on the results, the M2PC method provides a better control performance for IPMSMs with significantly reduced torque ripples. © 2022, TUBITAK. All rights reserved.Öğe Review on computational modeling for the property, process, product and performance (PPPP) characteristics of additively manufactured porous magnesium implants(Elsevier B.V., 2022) Imran, R.; Al, Rashid, A.; Koç, M.Recently, magnesium (Mg) and its alloys are gaining the attention of researchers as these materials can provide mechanical properties comparable to natural bone. Additive manufacturing (AM) techniques have also evolved in the biomedical sector owing to their precision in fabricating desired parts with varying shapes, intricacy, and porosity required for implant functionality. With increasing interest in AM of Mg-based biomedical implants, there is a pressing need to understand existing accomplishments, state-of-the-art materials, and fabrication technology and to identify remaining research gaps through a comprehensive literature review existing in this field and highlight hindrances and challenges associated. In this review study, a particular focus is placed on understanding computational modeling techniques employed for the design, manufacturing, and performance analysis of AM porous scaffolds. Therefore, progress in material synthesis and associated challenges are reviewed in this study, and conclusions and future research recommendations are drawn based on reviewed literature. This review study concludes that there is an unmet need to develop accurate, fast, and inexpensive computational modeling for AM of Mg-based implants to increase predictability capacity and capabilities of material synthesis, fabrication, and resulting product property and performance. © 2022 The AuthorsÖğe Turkish Midwifery Students’ Fear of Delivery Process(Tabriz University of Medical Sciences, 2019) Özcan, N.K.; Boyacioglu, N.E.; Güdücü, N.; Serhatlioglu, S.G.; Yildirim, E.; Koç, M.; Bingol, F.Introduction: Fear affects a person’s decision-making process and causes a midwife to make a wrong decision about normal vaginal delivery and cesarean delivery, so research was carried out in order to determine the fields related to delivering process in which students experience the most fear and feel sufficient. Methods: A descriptive/cross-sectional study was performed between September and October 2017. The sample consisted of 732 students selected with the convenience maximum variation sampling method from six universities studying in the third and fourth years of a midwifery program. The study measured data collected with a questionnaire entitled “Midwives’ Fear of Delivery Process”. The data were analyzed in with the SPSS for Windows using percentage and mean values and Spearman correlation test. Results: In general, students are more afraid of practices with which they say they have more experience such as vaginal palpation (3.30 (0.884), rs=0.131, P<0.001), and they are less afraid of practices (interventional) with which they have less experience such as breech delivery (1.70 (0.915), rs=0.048, P=0.197) or no experience at all and of cases in which they can get hurt. The students feel most sufficient when performing prenatal and postnatal practices. Conclusion: The results of our study parallel the conclusion in the literature that students are afraid of the fields that they have practiced most. Before clinical practice, instructors can determine students’ fears and deficiencies in relation to procedures and areas of practice and can develop approaches for alleviating their fears and weaknesses. © 2019 The Author(s).
