Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles

Off-road drivers are exposed to a high magnitude of vibration at low frequency (0.5-25Hz), that can cause harm and possibly attribute to musculoskeletal disorder, particularly low-back pain. The suspension seat is commonly used on an off-road condition to isolate the vibration transmitted to the hum...

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Main Authors: Adam, Siti Aisyah, Abdul Jalil, Nawal Aswan, Md Razali, Khairil Anas, Ng, Yee Guan, M. F., Aladdin
Format: Article
Language:English
Published: The Automotive Engineering Centre, Universiti Malaysia Pahang 2019
Online Access:http://psasir.upm.edu.my/id/eprint/81295/1/SEAT.pdf
http://psasir.upm.edu.my/id/eprint/81295/
https://journal.ump.edu.my/ijame/article/view/172
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Institution: Universiti Putra Malaysia
Language: English
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spelling my.upm.eprints.812952021-06-15T09:46:39Z http://psasir.upm.edu.my/id/eprint/81295/ Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles Adam, Siti Aisyah Abdul Jalil, Nawal Aswan Md Razali, Khairil Anas Ng, Yee Guan M. F., Aladdin Off-road drivers are exposed to a high magnitude of vibration at low frequency (0.5-25Hz), that can cause harm and possibly attribute to musculoskeletal disorder, particularly low-back pain. The suspension seat is commonly used on an off-road condition to isolate the vibration transmitted to the human body. Nevertheless, the suspension seat modelling that incorporates the human body is still scarce. The objective of this study is to develop a mathematical modelling to represent the suspension seat-person for off-road vehicles. This paper presents a three degrees-of-freedom lumped parameter model. A curve-fitting method is used for parameter identification, which includes the constraint variable function (fmincon()) from the optimisation toolbox of MATLAB(R2017a). The model parameters are optimised using experimentally measured of suspension seat transmissibility. It was found that the model provides a reasonable fit to the measured suspension seat transmissibility at the first peak of resonance frequency, around 2-3 Hz. The results of the study suggested that the human body forms a coupled system with the suspension seat and thus affects the overall performance of the suspension system. As a conclusion, the influence of the human body should not be ignored in the modelling, and a three-degrees degree-of-freedom lumped parameter model provides a better prediction of suspension seat transmissibility. This proposed model is recommended to predict vibration transmissibility for off-road suspension seat. The Automotive Engineering Centre, Universiti Malaysia Pahang 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/81295/1/SEAT.pdf Adam, Siti Aisyah and Abdul Jalil, Nawal Aswan and Md Razali, Khairil Anas and Ng, Yee Guan and M. F., Aladdin (2019) Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles. International Journal of Automotive and Mechanical Engineering, 16 (2). pp. 6773-6782. ISSN 2229-8649; ESSN: 2180-1606 https://journal.ump.edu.my/ijame/article/view/172 10.15282/ijame.16.2.2019.22.0509
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Off-road drivers are exposed to a high magnitude of vibration at low frequency (0.5-25Hz), that can cause harm and possibly attribute to musculoskeletal disorder, particularly low-back pain. The suspension seat is commonly used on an off-road condition to isolate the vibration transmitted to the human body. Nevertheless, the suspension seat modelling that incorporates the human body is still scarce. The objective of this study is to develop a mathematical modelling to represent the suspension seat-person for off-road vehicles. This paper presents a three degrees-of-freedom lumped parameter model. A curve-fitting method is used for parameter identification, which includes the constraint variable function (fmincon()) from the optimisation toolbox of MATLAB(R2017a). The model parameters are optimised using experimentally measured of suspension seat transmissibility. It was found that the model provides a reasonable fit to the measured suspension seat transmissibility at the first peak of resonance frequency, around 2-3 Hz. The results of the study suggested that the human body forms a coupled system with the suspension seat and thus affects the overall performance of the suspension system. As a conclusion, the influence of the human body should not be ignored in the modelling, and a three-degrees degree-of-freedom lumped parameter model provides a better prediction of suspension seat transmissibility. This proposed model is recommended to predict vibration transmissibility for off-road suspension seat.
format Article
author Adam, Siti Aisyah
Abdul Jalil, Nawal Aswan
Md Razali, Khairil Anas
Ng, Yee Guan
M. F., Aladdin
spellingShingle Adam, Siti Aisyah
Abdul Jalil, Nawal Aswan
Md Razali, Khairil Anas
Ng, Yee Guan
M. F., Aladdin
Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles
author_facet Adam, Siti Aisyah
Abdul Jalil, Nawal Aswan
Md Razali, Khairil Anas
Ng, Yee Guan
M. F., Aladdin
author_sort Adam, Siti Aisyah
title Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles
title_short Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles
title_full Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles
title_fullStr Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles
title_full_unstemmed Mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles
title_sort mathematical model of suspension seat-person exposed to vertical vibration for off-road vehicles
publisher The Automotive Engineering Centre, Universiti Malaysia Pahang
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/81295/1/SEAT.pdf
http://psasir.upm.edu.my/id/eprint/81295/
https://journal.ump.edu.my/ijame/article/view/172
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