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DOI: 10.14569/IJACSA.2016.070263
PDF

An Improved Transformer for LLC Resonant Inverter for Induction Heating Applications

Author 1: Amira ZOUAOUI-KHEMAKHEM
Author 2: Hamed belloumi
Author 3: Ferid KOURDA

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 2, 2016.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: A new trend in power converters is to design a planar transformer that aims for low profile. However, at high frequency, the planar transformer AC losses become significant due to the proximity and skin effects. In this paper the most important factors for planar transformer (PT) design including winding loss, core loss, leakage inductance, and stray capacitance have individually been investigated. The tradeoffs among these factors have to be analysed to achieve optimal parameters. We will show a strategy to reduce losses in the primary coil of the transformer. The loss analysis of th PT was verified by the Finite Element Method (FEM) Simulations (ANSOFT MAXWELL FIELD SIMULATOR 2D) and could be utilized to optimize the transformer design procedure. Finally, the proposed PT has been integrated into an LLC Resonant Inverter for Induction Heating Application to test at high signal levels.

Keywords: planar transformer; induction heating; Finite Element Method; skin effect; diffusive representation

Amira ZOUAOUI-KHEMAKHEM, Hamed belloumi and Ferid KOURDA, “An Improved Transformer for LLC Resonant Inverter for Induction Heating Applications” International Journal of Advanced Computer Science and Applications(IJACSA), 7(2), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070263

@article{ZOUAOUI-KHEMAKHEM2016,
title = {An Improved Transformer for LLC Resonant Inverter for Induction Heating Applications},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070263},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070263},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {2},
author = {Amira ZOUAOUI-KHEMAKHEM and Hamed belloumi and Ferid KOURDA}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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