USE OF ARTIFICIAL INTELLIGENCE METHODS IN SELECTION OF VARIABLE TENSION PULLEY DIAMETER IN BELT PULLEY MECHANISMS
Serkan Beller
Pages: 142-160
Received: 7 Jul 2025
Revised: 1 Mar 2026
Published: 6 Mar 2026
DOI: 10.62991/MMT1997526498
Views: 233
Downloads: 24
Abstract: Belt pulley systems transfer power and motion from shaft to shaft via a flexible, bendable belt wrapped around pulleys. The flexibility and bendability of the belt prevent the negative effects, such as vibration and impact, that may occur on one shaft from being transferred to the other shaft. Power transmission occurs through the friction (force) bond between the belt and the pulley. There may be slippage between the belt and the pulley during moment increases. While this provides an advantage in that sudden load increases are not transmitted to the motor shaft, it provides a disadvantage in that it does not provide a constant rotation ratio. Another disadvantage of these mechanisms is the occurrence of permanent belt elongation over time, and tensioning systems are needed to eliminate the looseness. In addition to these disadvantages, the shaft bearings are strained due to the forces exerted by the arms pressing the belt against the pulley, and the power transmission is limited by the belt's strength. In this study, a group of pulleys consisting of different diameters was used as a tension pulley as an alternative to weighted or spring tension pulleys. Different weights that have different distances from the main pulley (Driven pulley) hub were tested with different rotation speeds and tension pulleys with different diameters in the experimental set. In addition, the number of revolutions of the main pulley was also estimated using artificial intelligence methods. Thus, by ensuring minimum slippage with the most suitable tension pulley diameter, an attempt was made to prevent possible strain on the shaft bearing and belt.
Keywords: belt pulley mechanisms, tension pulley, artificial intelligence, grnn, anfis
Cite this article: Serkan Beller. USE OF ARTIFICIAL INTELLIGENCE METHODS IN SELECTION OF VARIABLE TENSION PULLEY DIAMETER IN BELT PULLEY MECHANISMS. Journal of International Scientific Publications: Materials, Methods & Technologies 19, 142-160 (2026). https://doi.org/10.62991/MMT1997526498
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