Off-road seat suspension optimization by particle swarm algorithm
Due to creating health problems for human by using vehicles in long term, seat suspension design is important especially in off-ro ad vehicles. Recently, intelligent methods are focused by researchers for optimization problems. I n this paper, artificial neural network bi...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/51210/ https://www.scientific.net/AMM.315.507.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Due to creating health problems for human by using vehicles in long term, seat suspension design is important especially in off-ro ad vehicles. Recently, intelligent methods are focused by researchers for optimization problems. I n 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 vibrati on 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. |
|---|