Numerical Optimization of Electromagnet Current Distribution in Superconducting Linear Acceleration System

Takayama, T.; Yamaguchi, Takazumi; Saitoh, Ayumu; Kamitani, Atsushi

doi:10.1109/tasc.2022.3158374

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…In these applications, AI techniques were adopted for optimising structure [207][208][209][210][211][212][213], monitoring the condition of a device, and estimating characteristics [214][215][216]. This section provides an overview of the conducted studies in less investigated applications of SCs, such as special issues in aviation [217] and fusion [218][219][220][221][222].…”

Section: Ai Techniques For Magnetic Levitationmentioning

confidence: 99%

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Yazdani-Asrami

Sadeghi

Song

et al. 2022

Supercond. Sci. Technol.

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More than a century after the discovery of superconductors (SCs), numerous studies have been accomplished to take the advantage of SCs in physics, power engineering, quantum computing, electronics, communications, aviation, health care, and defence-related applications. However, there are still challenges that hinder the full-scale commercialization of SCs, such as the high cost of superconducting wires/tapes, technical issues related to AC losses, the structure of superconducting devices, the complexity and high cost of the cooling systems, the critical temperature, and manufacturing related issues. In the current century, massive advancements have been achieved on artificial intelligence (AI) techniques by offering disruptive solutions to handle engineering problems. Consequently, AI techniques can be implemented to tackle those challenges facing superconductivity and act as a shortcut towards full commercialization of SCs and their applications. AI approaches are capable of providing fast, efficient, and accurate solutions for the technical, manufacturing, and economic problems with a high level of complexity and nonlinearity in the field of superconductivity. In this paper, concept of AI and the widely used algorithms are first given. Then a critical topical review is presented for those conducted studies that used AI methods for improvement, design, condition monitoring, fault detection and location of superconducting apparatuses in large scale power applications, as well as the prediction of critical temperature and the structure of new SCs, and any other related applications. The topical review are presented in three main categories, AI for large-scale superconducting applications, AI for superconducting materials, and AI for physics of superconductors. In addition, the challenges to apply AI techniques to the superconductivity and its applications are given. Eventually, future trends on how to integrate AI techniques with superconductivity towards the commercialization are discussed.

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Section: Ai Techniques For Magnetic Levitationmentioning

confidence: 99%

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Yazdani-Asrami

Sadeghi

Song

et al. 2022

Supercond. Sci. Technol.

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“…The rotating gantry is world smallest size realized by superconducting combined function magnets. It consists of 6 bending components and 12 quadrupole components with maximum dipole field of 3.5 T [11]. It enables flexible beam angle, which allows the patients to lie down comfortably with no tilting.…”

Section: East Japan Heavy Ion Centermentioning

confidence: 99%

Commissioning and first operation of East Japan Heavy Ion Center at Yamagata University

Souda,

Kanai,

Lee

et al. 2024

J. Phys.: Conf. Ser.

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A world smallest carbon ion radiotherapy facility, East Japan Heavy Ion Center, Yamagata University, started treatment operations in February 2021. The treatment system consists of an ECR ion source, an RFQ and IH-type drift tube linac, a 430 MeV/u synchrotron and a spot-scanning irradiation system. It has two treatment rooms, one is a fixed horizontal beam port and the other is a rotating gantry beam port with superconducting magnets. The ECR ion source is the Kei2-type permanent magnet 10 GHz ECR ion source with a maximum field of 0.8 T. All the improvements of the previous facilities are applied to the ion source, such as helium gas-assisted operation and changes in the shape of an anode electrode and an extraction electrode to reduce the discharge. Owing to these improvements, the ion source has been operated stably during the commissioning and clinical operation. The irradiation system of Yamagata University eliminated the plastic block range shifter to realize a compact gantry, and has 600 energy levels to control the beam range in step of 0.5 mm. In order to optimize the beam transport parameters quickly, automation tools for orbit correction were developed. Machine commissioning and clinical commissioning were carried out in parallel to allow treatment to begin earlier. First, the horizontal fixed beam port was commissioned by verifying the dose distribution of the treatment planning system. Then, the gantry beam port was commissioned by full beam distribution measurement for representing beam angle of 90 degree, and other angles were sequentially released after the compatibility measurement of beam position, beam size, and two-dimensional uniformity. In September 2022, we were able to accept all treatment sites. By August 2023, 1151 cancer patients had been treated. Further improvements to increase available gantry angle and to increase beam efficiency are ongoing.

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“…Previous studies have numerically investigated the SLA system by solving the time evolution problem of the shielding current density in the thin film of an axisymmetric HTS [4,5,6]. The shielding current in the propulsion thin film attached to the pellet container was analyzed to estimate pellet velocity.…”

Section: Introductionmentioning

confidence: 99%

“…Prior studies have also found that an increase in pellet velocity can be expected using the optimized shape of a single electromagnet [5,6]. The NSGA-II and the normalized Gaussian network (NGnet) methods were employed for the genetic algorithm and shape representation, respectively.…”

Section: Introductionmentioning

confidence: 99%

Numerical Approach to Enhanced-Performance of Superconducting Linear Accelerator Using Multiple-Electromagnets

Takayama

Saitoh

Kamitani

2023

JASSE

Self Cite

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The performance of a superconducting linear accelerator (SLA) system for a pellet injection to fuel nuclear fusion reactors has been investigated numerically. For this purpose, a numerical code has been developed to analyze the shielding current density and dynamic motion of a high-temperature superconducting thin film by means of finite element method. In the present study, an exponentially increasing current was employed to drastically accelerate a pellet in the container. Computational results indicate that the acceleration distance required for the SLA system to reach the target speed of 5 km/s was approximately 2.5 km, it is reduced to approximately 88%. It was therefore concluded that the proposed current has the potential to improve acceleration performance significantly.

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Numerical Optimization of Electromagnet Current Distribution in Superconducting Linear Acceleration System

Cited by 5 publications

References 8 publications

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Artificial intelligence methods for applied superconductivity: material, design, manufacturing, testing, operation, and condition monitoring

Commissioning and first operation of East Japan Heavy Ion Center at Yamagata University

Numerical Approach to Enhanced-Performance of Superconducting Linear Accelerator Using Multiple-Electromagnets

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