Electric machines winding applications - DC machine GeoGebra winding application

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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Publication Details

Journal
Serbian Journal of Electrical Engineering
Published
2025-01-01
DOI
https://doi.org/10.2298/sjee250731001b
Primary Topic
Belt Conveyor Systems Engineering
Type
article
Field-Weighted Citation Impact
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article

Electric machines winding applications - DC machine GeoGebra winding application

Marko Rosić, Miroslav Bjekić, Darko Miljojkovic
Serbian Journal of Electrical Engineering
Belt Conveyor Systems Engineering
article

Electric machines winding applications - DC machine GeoGebra winding application

Marko Rosić, Miroslav Bjekić, Darko Miljojkovic
article en

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.

Serbian Journal of Electrical EngineeringVol. 22(3)
University of Kragujevac (RS)
Openalex Percentile: Top 72%
Belt Conveyor Systems Engineering
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