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    The Experimental Test Results of a Two-Section Linear Induction Launcher
    (Ieee-Inst Electrical Electronics Engineers Inc, 2020) Tunceroglu, Cagdas; Hasirci, Ugur; Maden, Dincer; Balikci, Abdulkadir
    A linear induction launcher (LIL) is an air-cored coilgun. Its barrel consists of an array of cylindrical drive coils and the barrel can be a single section or divided into several sections. A single-section barrel can be easily driven by energizing the coils in a polyphase fashion to accelerate the moving part of the LIL, the projectile. A multisection barrel, on the other hand, offers higher muzzle velocities for the projectile. From breech to muzzle, each section is energized with an increasing frequency. However, several problems arise when a multisection barrel is used. Some of them are currently reported in the literature. For example, a retarding force on the projectile has been observed while the projectile passes from one section to another. The initial position of the projectile also affects the launching performance. Some experiments can be useful to determine the optimum conditions to reach maximum possible muzzle velocity. This article concerns the design, implementation, and experimental test of a laboratory-scale, two-section LIL to examine the effects of various parameters on the launching performance.
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    Reconfigured single- and double-diode models for improved modelling of solar cells/modules
    (Nature Portfolio, 2025) Celik, Emre; Karayel, Mehmet; Maden, Dincer; Abdel-Salam, Mahmoud; Ozturk, Nihat; Kaplan, Orhan; Tejani, Ghanshyam G.
    Proper modeling of PV cells/modules through parameter identification based on the real current-voltage (I-V) data is important for the efficiency of PV systems. Most related works have concentrated on the classical single-diode model (SDM) and double-diode model (DDM) and their parameter extraction by various metaheuristic algorithms. In order to render more accurate and representative modeling, this paper adds a small resistance in series with the diodes in SDM and DDM. The new models are named reconfigured SDM (Reconfig-SDM) and reconfigured DDM (Reconfig-DDM), and they have not been studied so far as we know. A squirrel search algorithm (SSA) is employed to globally find the parameters of the new models. The performance achieved is experimentally tested on both a commercial RTC France solar cell and a CS6P-220P polycrystalline PV module located at D & uuml;zce University in T & uuml;rkiye. A vivid comparison of experimental findings, observation, and analysis clearly demonstrates that the proposed Reconfig-SDM and Reconfig-DDM tuned by the SSA have better capacity and effectiveness for modeling PV devices than some cutting-edge approaches. Specifically, compared with the best-performing approach in the literature, Reconfig-SDM and Reconfig-DDM could reduce the error rate up to 0.37% and 2.58% for the solar cell, and 3.21% and 29.0% for the solar module.