Dang, H.M. and Phung, V.B. and Duc, N.V. (2024) Multi-objective Optimization of the Slider-Crank Mechanism with Spring and Its Application to the Wood Splitter Design. Green Energy and Technology. pp. 239-247. ISSN 18653529
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This paper presents a method for optimizing the installation position and stiffness value of the extension spring in the slider crank mechanism (SCM). A mathematical model for the mechanism of the SCM with spring has been proposed with various design parameters such as the position of spring insertion points at the crank and connecting rod, the ratio of rod length to crank length, and the spring stiffness value. A hybrid CDOS-PSI algorithm was developed to optimize each objective as well as solve the overall multi-objective problem for the main mechanism of the wood splitter based on the criteria of energy consumption, required torque, dynamic reaction, and friction force. Optimal results were compared with CAE simulation software and showed that the difference was not significant (<5). Thereby, it is concluded that if using springs with an appropriate stiffness value and insertion points, it will help reduce the torque of the crank, the dynamic reaction at the joints, and the friction force on the slider. As a result, the machine will save energy, reduce vibration, reduce wear, and increase machine life. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Item Type: | Article |
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Divisions: | Offices > Office of International Cooperation |
Identification Number: | 10.1007/978-981-97-1868-9₂₅ |
Uncontrolled Keywords: | Machine design; Machine vibrations; Springs (components); Structural dynamics; Tribology; Wood products, CDOS; Design optimization; Mechanism design; Mechanism design optimization; Multi-objectives optimization; PSI; Slider-crank mechanism; Spring-slider crank mechanism; Stiffness values; Wood splitter, Connecting rods |
Additional Information: | Conference of International Conference on Sustainable Energy Technology, ICSET 2023 ; Conference Date: 10 November 2023 Through 11 November 2023; Conference Code:315619 |
URI: | http://eprints.lqdtu.edu.vn/id/eprint/11343 |