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Gohari, Mohammad, Tahmasebi, Mona, Mobarakabadi, Mohammad. (1404). Comparative Study between Gravitational Search Algorithm and Fire Hawk Algorithm in an Off Road Seat Suspension Optimization. پژوهش های زبان شناسی تطبیقی, (), -. doi: 10.22084/best.2025.31229.1009
Mohammad Gohari; Mona Tahmasebi; Mohammad Mobarakabadi. "Comparative Study between Gravitational Search Algorithm and Fire Hawk Algorithm in an Off Road Seat Suspension Optimization". پژوهش های زبان شناسی تطبیقی, , , 1404, -. doi: 10.22084/best.2025.31229.1009
Gohari, Mohammad, Tahmasebi, Mona, Mobarakabadi, Mohammad. (1404). 'Comparative Study between Gravitational Search Algorithm and Fire Hawk Algorithm in an Off Road Seat Suspension Optimization', پژوهش های زبان شناسی تطبیقی, (), pp. -. doi: 10.22084/best.2025.31229.1009
Gohari, Mohammad, Tahmasebi, Mona, Mobarakabadi, Mohammad. Comparative Study between Gravitational Search Algorithm and Fire Hawk Algorithm in an Off Road Seat Suspension Optimization. پژوهش های زبان شناسی تطبیقی, 1404; (): -. doi: 10.22084/best.2025.31229.1009

Comparative Study between Gravitational Search Algorithm and Fire Hawk Algorithm in an Off Road Seat Suspension Optimization

Biosystems Engineering and Sustainable Technologies
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 24 آبان 1404
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.22084/best.2025.31229.1009
نویسندگان
Mohammad Gohari* 1؛ Mona Tahmasebi2؛ Mohammad Mobarakabadi3
1Faculty of Mechanical Engineering, Arak University of Technology, Arak, Iran
2Agricultural Engineering Research Department, Markazi Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension, Organization (AREEO), Arak, Iran
3Arak University of Technology, Arak, Iran
چکیده
Long term driving of Off Road Vehicles increases the risk of damage in some organs of human such as spinal column or digestive system. Whereas seat suspensions are used in heavy duty off road vehicles, adjusting parameters of them is crucial. Recently, non-gradient optimization methods are focused by researchers to tune these parameters such as spring constant, damper coefficient and seat pan mass. Current work represents application of two Meta-Heuristic techniques (Gravitational Search (GSA)and Fire Hawk Optimization Algorithms (FHOA)) to minimize transmitted vibration from cabin floor to seat pan. By the GSA, the amplitude of seat displacement is around 2*10-5 (m). Moreover, the first peak is reached at 0.95*10-5 at 8Hz. In addition, by the FHOA, the magnitude of output via FHOA optimum parameters is 0.8*10-5, in time domain. From the other hand, in frequency domain, the first peak is gotten 4.2*10-6. So, it shows that the performance of passive seat suspension which adjusted with GSA are more enhanced in comparison to FHOA. In conclusion, the outcomes of optimization via simulation show that GSA has a better performance compared to FHOA, and seat suspension tuned by that can diminish the vibration with notable diminishment.
کلیدواژه‌ها
seat suspension؛ optimization؛ Meta-Heuristic techniques؛ Gravitational Search؛ Fire Hawk Optimization Algorithms
آمار
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