Off-road seat suspension optimization by particles swarm algorithm
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 use...
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| Format: | Conference or Workshop Item |
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2012
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| author | Abdul Rahman, Roslan Gohari, Mohammad Tahmasebi, Mona |
| author_facet | Abdul Rahman, Roslan Gohari, Mohammad Tahmasebi, Mona |
| author_sort | Abdul Rahman, Roslan |
| collection | ePrints |
| description | 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. |
| first_indexed | 2024-03-05T18:55:57Z |
| format | Conference or Workshop Item |
| id | utm.eprints-34155 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T18:55:57Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | utm.eprints-341552017-08-29T06:46:02Z http://eprints.utm.my/34155/ Off-road seat suspension optimization by particles swarm algorithm Abdul Rahman, Roslan Gohari, Mohammad Tahmasebi, Mona TJ Mechanical engineering and machinery 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. 2012 Conference or Workshop Item PeerReviewed 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. https://www.researchgate.net/publication/258747332_Off-Road_Seat_Suspension_Optimization_by_Particle_Swarm_Algorithm |
| spellingShingle | TJ Mechanical engineering and machinery Abdul Rahman, Roslan Gohari, Mohammad Tahmasebi, Mona Off-road seat suspension optimization by particles swarm algorithm |
| title | Off-road seat suspension optimization by particles swarm algorithm |
| title_full | Off-road seat suspension optimization by particles swarm algorithm |
| title_fullStr | Off-road seat suspension optimization by particles swarm algorithm |
| title_full_unstemmed | Off-road seat suspension optimization by particles swarm algorithm |
| title_short | Off-road seat suspension optimization by particles swarm algorithm |
| title_sort | off road seat suspension optimization by particles swarm algorithm |
| topic | TJ Mechanical engineering and machinery |
| work_keys_str_mv | AT abdulrahmanroslan offroadseatsuspensionoptimizationbyparticlesswarmalgorithm AT goharimohammad offroadseatsuspensionoptimizationbyparticlesswarmalgorithm AT tahmasebimona offroadseatsuspensionoptimizationbyparticlesswarmalgorithm |