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Serbian Journal of Electrical Engineering
Article . 2025 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Electric machines winding applications - DC machine GeoGebra winding application

Authors: Miroslav Bjekic; Marko Rosic; Darko Miljojkovic;

Electric machines winding applications - DC machine GeoGebra winding application

Abstract

Understanding the winding configurations of electric machines is essential for students of electrical engineering, yet it remains one of the most complex and abstract areas of study. At the beginning of this paper, a brief overview of existing software solutions for electric machine winding design is provided, along with a summary of previously developed educational tools created at the Faculty of Technical Sciences Cacak. These earlier software tools, focused on both DC and AC machine windings, laid the foundation for the creation of more advanced and interactive learning resources. Building on this foundation, and leveraging the experience gained through the development of more than 50 GeoGebra applications at the Faculty, this paper presents a new interactive GeoGebra-based application specifically developed to support the teaching and learning of electric machine windings, with a focus on DC machine armatures. The developed application enables users to define winding parameters, calculate winding steps, generate winding tables, visualize developed winding diagrams, and simulate commutator and brush placement across eight different winding types. These features are designed with a strong emphasis on educational value, offering an intuitive and didactic workflow that serves as an effective teaching aid in mastering topics related to electrical machines. The new tool introduces interactivity, parameter validation, and animation ? providing students with a hands-on experience that enhances both comprehension and retention, while also improving the effectiveness of both classroom and distance learning in electrical machines education.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Published in a Diamond OA journal