Coilgun design and evaluation without capacitor

Akay, Cengiz; Bavuk, Uğur; Tunçdamar, Adem; Özer, Mehmet

doi:10.21595/jmai.2020.21627

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…These hardware features will be used more effectively with the software. In addition to security problems [18,19], development of production capabilities in sensors and software, another problem to be solved is energy management [20].…”

Section: Introductionmentioning

confidence: 99%

Automatic decision making system with environmental and traffic data

Ersoy¹,

Waqar²,

Toptaş³

2021

Math. models, eng.

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By using computer vision and machine learning methods, driving lane detection and tracking, the position of the vehicles in the vicinity, their speed and direction will be determined through real-time processing of images taken from the traffic camera. Processing of the collected data using artificial intelligence and fuzzy logic and to calculate the data within the scope of "game theory" and to implement the dynamic control of the vehicle in the light of calculated data is planned. In addition to that, the designed system can also function as a driver assistant for non-autonomous vehicles with an appropriate user interface. First, the positions of the vehicles and driving lanes will be detected and monitored using computer vision and machine learning methods. Then, the vehicle speeds will be calculated by taking advantage of the historical data of the vehicle positions in the surrounding area from the previous observations, and the location estimation will be made by creating probability distributions of where each vehicle will be in the future. With the position estimation and the obtained speed information, it will be ensured that the vehicle is in the safest position in the transportation process to the destination and that it travels again at the safest speed.

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Section: Introductionmentioning

confidence: 99%

Automatic decision making system with environmental and traffic data

Ersoy¹,

Waqar²,

Toptaş³

2021

Math. models, eng.

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“…Experiments showed that the launching mass and energy can be extended, but the speed remained low. Research [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] has shown results of simulations and related experiments aimed at increasing launching velocity and energy (Fig. 1).…”

mentioning

confidence: 99%

A multi-stage 130 m/s reluctance linear electromagnetic launcher

Einat

Orbach

2023

Sci Rep

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Moon launching capabilities are vital for space program development. Especially important is the capability to launch without fuels or disposable elements since bringing supplies to the moon is complicated and expensive. An electric system would have the benefit of using solar or nuclear-based unlimited electrical energy. In this paper, such an electrical launching system is suggested—a reluctance coilgun launcher with multi acceleration stages. It has the benefit of simplicity and longer lifetime compared to other electrical launchers. In this paper, a successful implementation of a multi-stage reluctance launcher is presented that reaches the highest reported launching speeds from a reluctance coilgun. Moreover, a method to successfully add more and more stages is presented. Based on this method, an electrical launcher to be used for launching from the moon can be designed.

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