Electric Motor Design and Analysis
Open access
Peer reviewed
Abstract
Abstract
This paper presents a comprehensive parametric optimization study of a three-phase squirrel cage induction motor to enhance its electromagnetic performance by systematically varying the number of conductors per slot and wire diameter. The analysis of 154 design cases was performed using ANSYS RMxprt. The number of conductors per slot ranged from 39 to 65, and the wire diameter varied from 0.60 mm to 0.70 mm. The original motor design, which had 40 conductors and a 0.67 mm wire diameter, showed significant performance issues. These included low efficiency (80.17%), a poor power factor (0.749), severe magnetic saturation (2.403 T), and a high magnetizing current (3.455 A). Conversely, the optimized configuration, which employed 49 conductors and a 0.66 mm wire diameter, demonstrated considerable advancements. The efficiency rose to 82.45%, reflecting a 2.28 percentage point improvement; the power factor was enhanced to 0.870; and the stator tooth flux density was reduced to 1.547 T. Furthermore, total losses were diminished by 75.9 W, and the stator phase current was lowered by 14.7%, from 5.38 A to 4.59 A. Transient finite element analysis, performed using ANSYS Maxwell 2D, supported these results, thereby confirming the smooth torque response, balanced sinusoidal currents, and stable power conversion. The strong correlation between RMxprt parametric trends and Maxwell time-domain validation reinforces the physical relevance of the observed performance gains. Consequently, this study demonstrates that a systematic optimization of stator winding parameters offers a cost-effective method for significantly improving induction motor efficiency, eliminating the necessity for modifications to magnetic materials or core geometry, and thus providing a valuable reference for both industrial motor design and energy efficiency enhancements.
Direct answer
What can I do from this paper page?
Use this page to scan "Optimal Design of Induction Motor Using Parametric Winding Optimization with FEA" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Electric Motor Design and Analysis research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Hamed2026Optimal,
title = {Optimal Design of Induction Motor Using Parametric Winding Optimization with FEA},
author = {Ali Mohammed Hamed and Fadhel A. Jumaa},
journal = {Al-Furat Journal of Innovations in Agricultural Sciences},
year = {2026},
doi = {10.46649/fjias.v.i.162},
url = {https://fjias.atu.edu.iq/index.php/dfg/article/view/162}
}FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Electric Motor Design and Analysis research papers?
Follow Electric Motor Design and Analysis research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for Optimal Design of Induction Motor Using Parametric Winding Optimization with FEA. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app