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Swarm intelligence optimization of worm and worm wheel design


Article Information

Title: Swarm intelligence optimization of worm and worm wheel design

Authors: M. Chandrasekaran, Padmanabhan S., V. Srinivasa Raman

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2015

Volume: 10

Issue: 13

Language: English

Categories

Abstract

The problem of optimization of gears is difficult to solve. Indeed, the objectives are many and they require a multicriteria optimization. The compromise between the various objectives is not easy to find because the optimization criteria are often contradictory. In addition, there are a large number of design variables, and the majority of these variables takes discrete values. Worm and worm wheel drives are normally used for non-parallel, non-intersecting, right angle gear drive system where high reduction ratios are involved, though they are also employed with low to medium speed reducers in many applications. In this paper an attempt has been made to optimize worm and worm wheel design using conventional tool LINGO and heuristics as Particle Swarm Optimization (PSO) algorithms. A combined objective function which maximizes the Power, Efficiency and minimizes the overall Weight, Centre distance has been considered in this model.


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