Abdul Rahman, Roslan and Gohari, Mohammad and Tahmasebi, Mona (2012) Off-road seat suspension optimization by particles swarm algorithm. In: ICAMME 2012 : International Conference on Applied Mechanics and Mechanical Engineering, 3-5 Jul 2012, Kuala Lumpur, Malaysia.
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Official URL: https://www.researchgate.net/publication/258747332...
Abstract
Due to creating health problems for human by using vehicles in long term, seat suspension design is important especially in off-road vehicles. Recently, intelligent methods are focused by researchers for optimization problems. In this paper, artificial neural network biodynamic model (ANNBM) was used to simulate human body responses to the vertical direction and seat suspension was optimized to reduce vibration transmitted from seat to lower lumbar. Particle Swarm Optimization (PSO) was employed for this purpose. The results of simulation shows 0.6 seat to spine vibration transmissibility (SST), and the efficiency of suspension seems good to remove unwanted vibration.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Off-road seat suspension, artificial neural network, particle swarm optimization |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Divisions: | Mechanical Engineering |
| ID Code: | 34155 |
| Deposited By: | Liza Porijo |
| Deposited On: | 09 Aug 2017 07:10 |
| Last Modified: | 29 Aug 2017 06:46 |
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