Journals / International Journal of Engineering and Applied Sciences / 2026 / Volume: 9 Issue: 3

Efficient Finite Element Models for Calculation of the No-load losses of the Transformer

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Publication Date
2017-08-23
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

These numerical methods can help transformer designers to minimize the development of the prototype transformers.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Different transformer models are examined for the calculation of the no-load losses using finite element analysis.
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Key Findings & Data:The Result shows that 3-dimensional provide high accuracy as compared to the 2 dimensional full and half model.
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Conclusion & Impact:These numerical methods can help transformer designers to minimize the development of the prototype transformers.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:No-load losses · Iron losses · Finite element analysis

Abstract

Different transformer models are examined for the calculation of the no-load losses using finite element analysis. Two-dimensional and three-dimensional finite element analyses are used for the simulation of the transformer. Results of the finite element method are also compared with the experimental results. The Result shows that 3-dimensional provide high accuracy as compared to the 2 dimensional full and half model. However, the 2-dimensional half model is the less time-consuming method as compared to the 3 and 2-dimensional full model. Simulation time duration taken by the different models of the transformer is also compared. The difference between the 3-dimensional finite element method and experimental results are less than 3%. These numerical methods can help transformer designers to minimize the development of the prototype transformers.

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Cite This Article

Dawood, K., Cınar, M. A., Alboyacı, B., Sonmez, O. (2017). Efficient Finite Element Models for Calculation of the No-load losses of the Transformer. International Journal of Engineering and Applied Sciences, Volume: 9 Issue: 3. https://doi.org/10.24107/ijeas.309933

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