A high voltage, high frequency transformer unit has been designed and built for powering the Cockcroft–Walton voltage multiplier to be used as part of a particle accelerator power supply at the Institute For Plasma Research, India, for the nuclear fusion research facility. A novel combination of high voltage (25 kV), high frequency (20 kHz), and high power (70 kV A) specifications makes its design distinctive and more challenging. The complete unit is composed of two 0.350/25 kV amorphous core transformers connected in center-tap configuration and immersed in an oil-filled tank. To facilitate an iterative design procedure, a spreadsheet method was utilized. The design involved a methodical approach for the core and winding selection, followed by the magnetic analysis and high voltage insulation layout through the finite element method. All the magnetic, electrical, and thermal parameters have been evaluated in detail, assuring a continuous stable operation having an efficiency of greater than 95%. Finally, the transformers were made, and preliminary experiments, including turns ratio, short-circuit, and dielectric tests, were carried out to verify the accuracy of the proposed design. The unit was also field tested under actual load conditions, and the test results were presented and corroborated with the design calculations.

More from our Archive

• DOI: 10.3390/s23156949 2023

  Visual Intelligence in Precision Agriculture: Exploring Plant Disease Detection via Efficient Vision Transformers

  Sana Parez, Naqqash Dilshad, Norah Saleh Alghamdi, Turki M. Alanazi, Jong Weon Lee

• DOI: 10.3390/app13158937 2023

  Structural Failures of Adobe Buildings during the February 2023 Kahramanmaraş (Türkiye) Earthquakes

  Ercan Işık

• DOI: 10.3390/s23156762 2023

  HealthLock: Blockchain-Based Privacy Preservation Using Homomorphic Encryption in Internet of Things Healthcare Applications

  Aitizaz Ali, Bander Ali Saleh Al-rimy, Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Abdulaleem Ali Almazroi

• DOI: 10.3390/app13148502 2023

  Evaluation of YOLO Object Detectors for Weed Detection in Different Turfgrass Scenarios

  Mino Sportelli, Orly Enrique Apolo-Apolo, Marco Fontanelli, Christian Frasconi, Michele Raffaelli, Andrea Peruzzi, Manuel Perez-Ruiz

• DOI: 10.3390/s23146507 2023

  CNN-CNN: Dual Convolutional Neural Network Approach for Feature Selection and Attack Detection on Internet of Things Networks

  Basim Alabsi, Mohammed Anbar, Shaza Rihan

• DOI: 10.3390/app13158927 2023

  Fuzzy Logic with Deep Learning for Detection of Skin Cancer

  Sumit Kumar Singh, Vahid Abolghasemi, Mohammad Hossein Anisi

• DOI: 10.3390/s23156843 2023

  Optimizing Machine Learning Algorithms for Landslide Susceptibility Mapping along the Karakoram Highway, Gilgit Baltistan, Pakistan: A Comparative Study of Baseline, Bayesian, and Metaheuristic Hyperparameter Optimization Techniques

  Farkhanda Abbas, Feng Zhang, Muhammad Ismail, Garee Khan, Javed Iqbal, Abdulwahed Fahad Alrefaei, Mohammed Fahad Albeshr

• DOI: 10.3390/s23156820 2023

  Application of Social Robots in Healthcare: Review on Characteristics, Requirements, Technical Solutions

  Luca Ragno, Alberto Borboni, Federica Vannetti, Cinzia Amici, Nicoletta Cusano

• DOI: 10.3390/app13158823 2023

  Debris Management in Turkey Provinces Affected by the 6 February 2023 Earthquakes: Challenges during Recovery and Potential Health and Environmental Risks

  Spyridon Mavroulis, Maria Mavrouli, Emmanuel Vassilakis, Ioannis Argyropoulos, Panayotis Carydis, Efthymis Lekkas

• DOI: 10.3390/app13158819 2023

  Operational Performance and Energy Efficiency of MEX 3D Printing with Polyamide 6 (PA6): Multi-Objective Optimization of Seven Control Settings Supported by L27 Robust Design

  Constantine David, Dimitrios Sagris, Markos Petousis, Nektarios K. Nasikas, Amalia Moutsopoulou, Evangelos Sfakiotakis, Nikolaos Mountakis, Chrysa Charou, Nectarios Vidakis