Browsing by Author "Cunkas, Mehmet"

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Analysis and Design of a Permanent Magnet Linear Synchronous Motor Based on Inductance Calculation
(Polska Akad Nauk, Polish Acad Sciences, 2025) Yucel, Enes; Mutluer, Mumtaz; Cunkas, Mehmet
This paper presents a comprehensive design and analysis methodology for a Permanent Magnet Linear Synchronous Motor (PMLSM), with a focus on evaluating different inductance modeling approaches. The motor design begins with analytical dimensioning based on defined design parameters. A two-dimensional finite element analysis follows this in ANSYS Maxwell to verify magnetic saturation, back-EMF, flux linkage, and electromagnetic performance under full load conditions. The inductance parameters are calculated using both conventional and look-up table (LUT) based models. In the conventional model, seven different methods are tested under static and dynamic conditions, as well as in non-salient and salient scenarios, and their results are compared. In the LUT model, current-dependent inductance values are extracted from flux linkage maps. The motor designed in Maxwell, along with the calculated inductance data, is integrated into a dynamic cooperative simulation (co-sim) model controlled by an inverter in Simplorer to analyze the thrust force. The results show that the LUT model provides outputs that are closer to the co-sim reference than the traditional model. Furthermore, performance curves based on the Maximum Torque Per Ampere strategy are generated, and the force-speed and power-speed characteristics derived from both inductance models are compared. The findings emphasize the importance of accurate inductance modeling in capturing the actual electromagnetic behaviour of PMLSM under dynamic operating conditions.
Citation - WoS: 10
Citation - Scopus: 10
An Experimental Study on Determination of Optimal Tilt and Orientation Angles in Photovoltaic Systems
(Academic Publication Council, 2025) Arslan, Mustafa; Cunkas, Mehmet
This paper determines the most suitable azimuth and tilt angles for photovoltaic (PV) panels to generate electricity from solar energy. Literature reviews typically focus on maximizing radiation values on fixed panels. However, this study identifies the optimal position for maximizing the total radiation falling on PV panels with varying azimuth and tilt angles. An experimental setup is established to measure solar radiation, power, and temperature data. The electrical energy, open-circuit voltage, and short-circuit current produced by the PV panels are measured and recorded simultaneously. The performance of PV panels at different azimuths and tilts on power output is examined and compared. Experimental results have indicated that panel tilt and azimuth angles significantly impact power generation, currents, and fill factor. Based on the theoretical and experimental results obtained, the optimal tilt angle on the horizontal plane for Konya province, T & uuml;rkiye, is determined to be 32.08 degrees, with the most suitable azimuth angle being 0 degrees. This article could serve as a suitable guide for finding the optimal tilt angle for similar locations in the future.
Citation - WoS: 2
Citation - Scopus: 2
A Study on Optimum Tilt Angle of Pv Panels for Konya, Turkey
(Institute of Electrical and Electronics Engineers Inc., 2022) Arslan, Mustafa; Cunkas, Mehmet
In order to reduce foreign dependency on Turkey, domestic and renewable energy resources and investments are of great importance. In recent years, technological innovations and research and development activities have increased the interest in renewable energy sources, especially solar and wind, in meeting the increasing energy demand. In this respect, when the potential of Turkey's wind and solar energy resources is evaluated, Konya stands out compared to other provinces. The performance of a photovoltaic panel depends on the tilt angle and the azimuth angle. In this study, wind and solar potential among Turkey's renewable energy resources are briefly discussed and compared to other countries. The optimum panel tilt angle is calculated monthly, seasonally, and yearly for Konya province. A model was proposed based on the declination angle for finding the optimum tilt angle. © 2022 IEEE.
Citation - WoS: 4
Citation - Scopus: 4
Using Quadratic Multiple Linear Regression Models To Investigate the Effect of Inoculant Type and T6 Heat Treatment on Microstructural, Mechanical and Corrosion Properties of Al-Cu Alloy Produced by Casting
(Elsevier, 2023) Çetintürk, Selman; Tarakcıoğlu, Necmettin; Acarer, Mustafa; Cunkas, Mehmet; Salur, Emin
In this study, the effect of different inoculant types such as AlSr10, Al3Ti1B and Al5Ti1B and T6 heat treatment on the microstructure, mechanical properties, and corrosion behavior of Al-5 %Cu alloy were thoroughly investigated. Al-5 % Cu without inoculant, Al-5 %Cu-AlSr10, Al-5 %Cu- Al3Ti1B and Al-5 %Cu- Al5Ti1B alloys were produced by casting, and they were subjected to T6 heat treatment. Microstructures of the alloys were characterized by optical microscopy, SEM with EDX module and XRD. To determine the mechanical properties of the alloys, hardness, tensile and Charpy-V impact tests were applied. Pin on disc and immerse corrosion tests were also carried out to observe grain size effect resulted from different inoculant types on wear and corrosion properties. Sr added Al alloy shows finer grain size than the Al-5 % Cu without inoculant. However, AlSr10 inoculant does not exhibit such good results as compared to Al3Ti1B and Al5Ti1B in terms of grain refinement. When the Al3Ti1B and Al5Ti1B inoculants were compared, 5Ti added one showed finest grains in the structure. In this regard, hardness, tensile strength, and wear resistance were increased systematically with decreasing grain size. Ductility in tensile test and toughness in Charpy-V impact tests of AlSr10 and Al3Ti1B added Al-5 %Cu alloys shows lower value than Al-5 %Cu alloy without inoculant. Corrosion damage increased with decreasing grain size. Further, the statistical performance of these models was tested and the closest model to the measurements was determined. It is expected that the applied quadratic models will be the best option for predicting yield strength, and weight loss in wear and corrosion properties.