A novel approach for wear assessment of plastic gears using image processing

Mahmoud G.  Elkasrawi; Marah A.  Elsiedy; Hesham A.  Hegazi

doi:10.59400/mea1921

A novel approach for wear assessment of plastic gears using image processing

Mahmoud G. Elkasrawi Department of Mechatronics, Faculty of Engineering and Materials Science, German University in Cairo, Cairo 11835, Egypt
Marah A. Elsiedy Department of Production Engineering and Mechanical Design, Faculty of Engineering, Tanta University, Tanta 31527, Egypt
Hesham A. Hegazi Mechanical Design and Production Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt; Design and Production Engineering Department, Faculty of Engineering and Materials Science, German University in Cairo, Cairo 11835, Egypt

Article ID: 1921

DOI: https://doi.org/10.59400/mea1921

Keywords: plastic gears; wear assessment; image processing; testing of plastic gears; gears performance

Abstract

Plastic gears offer numerous advantages, poised to increasingly supplant metal gears across various applications. Notably, they boast silent operation, resistance to corrosion, and lightweight properties which make them ideal for wind turbine systems. Moreover, the expanding array of plastic materials, including eco-plastics and their natural fibre composites, underscores the imperative for ongoing research into plastic gears and their composites. Addressing existing challenges is pivotal to fully harnessing their potential in sustainable development efforts. The wear of plastic gears is an important factor in plastic gear design and optimization. This paper primarily examines wear assessment in polypropylene (PP) gears by proposing and implementing a novel approach to measure the amount of wear on gear tooth profile using an image processing technique. By subjecting plastic gears to wear experimentation and employing direct image processing methods, the percentage of damage can be accurately evaluated. These percentages were 0.2% and 2.5% for 2 and 5 hours respectively. This underscores the boundless possibilities of integrating image processing techniques into the assessment of plastic gears, paving the way for deeper exploration and optimization of polymer materials for plastic gear manufacturing.

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Published

2024-12-05

How to Cite

Elkasrawi, M. G., Elsiedy, M. A., & Hegazi, H. A. (2024). A novel approach for wear assessment of plastic gears using image processing. Mechanical Engineering Advances, 3(1), 1921. https://doi.org/10.59400/mea1921

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Issue

Vol. 3 No. 1 (2025)

Section

Article

This work is licensed under a Creative Commons Attribution 4.0 International License.

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