Abstract
The prediction capability of the brake system vibration is still unable to cover a broad range of frequencies. Current predictive models are contained within a particular range to cater for specific vibration types. Therefore, a numerical model which could make predictions in a broad spectrum range is required. The model presented in this paper is derived with such aim. The model is derived from the interaction between the friction pairs with the focus on the brake pad. The brake disc is simplified as a travelling sinusoidal wave. Where else, the brake pad is modelled as a Euler- Bernoulli beam with forces and distributed friction acting upon it. The Dynamic Green Equation applied in solving the derived friction pair equation. The outcome of the developed model predicted brake pad vibrational frequency coinciding accurately with brake dynamometer experimental results. Therefore, the validated model could be a viable prediction and study tool for various brake system parameters.
Original language | English |
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Pages (from-to) | 10374-10386 |
Number of pages | 13 |
Journal | ARPN Journal of Engineering and Applied Sciences |
Volume | 11 |
Issue number | 17 |
Publication status | Published - Sep 2016 |
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Keywords
- Braking noise
- Green's function
- Modelling
- Vibration
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Numerical prediction of brake friction pair vibration using dynamics green's function. / Hassan, M.Z.B.; Magaswaran, K.; Delbressine, F.L.M.; Rauterberg, G.W.M.
In: ARPN Journal of Engineering and Applied Sciences, Vol. 11, No. 17, 09.2016, p. 10374-10386.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Numerical prediction of brake friction pair vibration using dynamics green's function
AU - Hassan, M.Z.B.
AU - Magaswaran, K.
AU - Delbressine, F.L.M.
AU - Rauterberg, G.W.M.
PY - 2016/9
Y1 - 2016/9
N2 - The prediction capability of the brake system vibration is still unable to cover a broad range of frequencies. Current predictive models are contained within a particular range to cater for specific vibration types. Therefore, a numerical model which could make predictions in a broad spectrum range is required. The model presented in this paper is derived with such aim. The model is derived from the interaction between the friction pairs with the focus on the brake pad. The brake disc is simplified as a travelling sinusoidal wave. Where else, the brake pad is modelled as a Euler- Bernoulli beam with forces and distributed friction acting upon it. The Dynamic Green Equation applied in solving the derived friction pair equation. The outcome of the developed model predicted brake pad vibrational frequency coinciding accurately with brake dynamometer experimental results. Therefore, the validated model could be a viable prediction and study tool for various brake system parameters.
AB - The prediction capability of the brake system vibration is still unable to cover a broad range of frequencies. Current predictive models are contained within a particular range to cater for specific vibration types. Therefore, a numerical model which could make predictions in a broad spectrum range is required. The model presented in this paper is derived with such aim. The model is derived from the interaction between the friction pairs with the focus on the brake pad. The brake disc is simplified as a travelling sinusoidal wave. Where else, the brake pad is modelled as a Euler- Bernoulli beam with forces and distributed friction acting upon it. The Dynamic Green Equation applied in solving the derived friction pair equation. The outcome of the developed model predicted brake pad vibrational frequency coinciding accurately with brake dynamometer experimental results. Therefore, the validated model could be a viable prediction and study tool for various brake system parameters.
KW - Braking noise
KW - Green's function
KW - Modelling
KW - Vibration
UR - http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0916_4928.pdf
M3 - Article
AN - SCOPUS:84995388304
VL - 11
SP - 10374
EP - 10386
JO - ARPN Journal of Engineering and Applied Sciences
JF - ARPN Journal of Engineering and Applied Sciences
SN - 1819-6608
IS - 17
ER -