https://doi.org/10.4081/jae.2024.1592
Measurement and optimization of non-linear damping systems for agricultural engineering vehicle cab
Published: 17 July 2024
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
The issue of non-linear dampness in the cab of agricultural engineering vehicles is examined by analyzing the vibration reduction system of a specific agricultural loader. Firstly, the specific loader was tested under different conditions. Then, the non-linear vibration reduction system model of the cab–seat–human body is established by using the measured frame vibration signal as input. Finally, the multi–objective genetic algorithm is used to optimize the root mean square (RMS) value of vertical acceleration of the cab and seat. The test results show that the seat vibration is significantly greater than the acceleration of the cab floor under driving and working conditions, so the seat vibration is amplified and the seat parameter setting is unreasonable; the engine and the working device are also an important part of the cab vibration source, in addition to the uneven road surface. Comparing the RMS values of the vertical acceleration of the cab and seat, which were calculated by the model and obtained from the vehicle test, the error does not exceed 6%, indicating that the model’s accuracy meets the requirement. The vehicle experiment proves that the RMS value of the vertical acceleration of the cab and seat is reduced by 16% and 53%, respectively, after optimization. This study provides a theoretical basis for the design of the damping system for the cab of agricultural engineering vehicles.
Cheng L., Wen H.S., Ni X.Y., Zhuang C., Zhang W.J., Huang H.B. 2022. Optimization study on the comfort of human-seat coupling system in the cab of construction machinery. Machines. 11:30.
DOI: https://doi.org/10.3390/machines11010030
Debeleac C. 2021. Dynamic modeling and simulation of working regime of the hydraulic driven of auger bucket for loader using Matlab/SimHydraulics. Hidraulica. 4:7-16.
Davoodi E., Safarpour P., Pourgholi M., Khazaee M. 2020. Design and evaluation of vibration reducing seat suspension based on negative stiffness structure. J. Mech . Eng. Sci. 234:4171-4189.
DOI: https://doi.org/10.1177/0954406220921203
Dengke N., Renqiang J., Vanliem N., Zhang J.R. 2023. Enhancing the ride comfort of off-road vibratory rollers with seat suspension using optimal quasi-zero stiffness. J. Mech . Eng. Sci. 237:482-496.
DOI: https://doi.org/10.1177/09544062221119929
Jamali A., Shams H., Fasihozaman M. 2014. Pareto multi-objective optimum design of vehicle-suspension system under random road excitations. P. I. Mech. Eng. K-J. Mul. 228:282-293.
DOI: https://doi.org/10.1177/1464419314531757
Junji Y., Koki T., Ryo M., Rie N., Ken F. 2017. Factor analysis of cab vibration of a construction machine model using mode shape correation between operational principal component mode and vibration mode. I. Noise. Control. Eng. 255:1121-1129.
Kihan K., Minsik S., Hansu K., Hee L.T., Jongseok L. 2020. Min Seungjae. Multi-objective optimisation of hydro-pneumatic suspension with gas–oil emulsion for heavy-duty vehicles. Vehicle. Syst. Dyn. 58:1146-1165.
DOI: https://doi.org/10.1080/00423114.2019.1609050
Liu C.J., Chen Z.L., Lv X.L., Shang Q. 2020. Research on vibration reduction optimization of a construction machinery cab. Mech. Sci. Technol. 39:682-687.
Lin J.W., Lin Z.F., Ma L., Xu T.S. 2019. Daliang Chen, Junhong Zhang. Analysis and optimization of coupled vibration between substructures of a multi-axle vehicle. J. Vib. Control. 25:1031-1043.
DOI: https://doi.org/10.1177/1077546318809859
Li P.Q., Wang Y.W., Cheng W.T. 2021. Simulation analysis of cab mounting system of flat-head truck. J. Phys. Conf. Ser. 1885:1-7.
DOI: https://doi.org/10.1088/1742-6596/1885/4/042013
Le V.Q., Nguyen K.T. 2018. Optimal design parameters of cab’s isolation system for vibratory roller using a multi-objective genetic algorithm. Appl. Mech. Mater. 4579:105-112.
DOI: https://doi.org/10.4028/www.scientific.net/AMM.875.105
Liao X., Wang H. 2021. Modeling and dynamic analysis of hydraulic damping rubber mount for cab under larger amplitude excitation. J. Vibroeng. 23:542-558.
DOI: https://doi.org/10.21595/jve.2021.21921
Li X.F., Lv W.D., Zhang W., Zhao H.Y. 2017. Research on dynamic behaviors of wheel loaders with different layout of hydropneumatic suspension. J. Vibroeng. 19:5388-5404.
DOI: https://doi.org/10.21595/jve.2017.18277
Nguyen V., Jiao R.Q., Le V., Wang P.L. 2020. Study to control the cab shaking of vibratory rollers using the horizontal auxiliary damping mount. Math. Probl. Eng. 6:57-65.
DOI: https://doi.org/10.21595/mme.2020.21256
Palumbo A., Polito T., Marulo F. 2021. Experimental modal analysis and vibro-acoustic testing at leonardo laboratories. Mater. Today-Proce. 34:24-30.
DOI: https://doi.org/10.1016/j.matpr.2019.12.109
Stan C., Iozsa D., Oprea R.A. 2015. The influence of the chassis’ parameters on the truck vibrations transmissibility. Appl. Mech. Mater. 4239:809-810.
DOI: https://doi.org/10.4028/www.scientific.net/AMM.809-810.1079
Sun X.J., Zhang J.R. 2012. Optimization of low-frequency vibration isolation for cab ride comfort of construction machineries. J. Agric. Eng-Italy. 28:44-52.
Sun Z.E., Liu S., Xue K., Z D., N X.Y. 2020. Vibration test research and analysis of a certain type of engineering machinery cab. Noise. Vib. control. 40: 187-192.
Tao W., Liu Z.Q., Chen S.B., G Y. 2020. Suspension damping design of wheel loader cab based on fuzzy control. Road. Traffic. Technol. 37:118-129.
Yang F.X., Zhao L.L., Yu Y.W., Zhou C.C. 2019. Matching, stability, and vibration analysis of nonlinear suspension system for truck cabs. Shock. Vib. 2019:1-10.
DOI: https://doi.org/10.1155/2019/1490980
Zhao L.L., Guo J., Yu Y.W., Li X.H. 2020. Changcheng Zhou. Simulation of nonlinear vibration responses of cab system subject to suspension damper complete failure for trucks. Int. J. Model. Simul. Sc. 11:13-13.
DOI: https://doi.org/10.1142/S1793962320500178
Zeng Q.Q. 2011. Multi-body dynamics analysis of the structural system of 80 wheel loader. Degree Diss., Jilin University, China.
How to Cite
Zhang, X. (2024) “Measurement and optimization of non-linear damping systems for agricultural engineering vehicle cab”, Journal of Agricultural Engineering, 55(3). doi: 10.4081/jae.2024.1592.
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