Title
Vibration Characteristics Simulation And Comparison Of Traditional Cab System Model And Seat-Cab Coupled Model For Trucks
Abstract
To define the application fields of the traditional cab system model and the seat-cab coupled model, this paper mainly aims to investigate the differences of the vibration characteristics of the two models. First, the two models and their motion equations were introduced. Then, based on the mechanical parameters of the seat and cab system for a truck, the transmissibility characteristics of the two models were analyzed. The results show that the traditional model can relatively accurately predict the pitch and roll vibration characteristics of the real seat-cab system. However, it overvalues the vertical vibration transmitted from the front suspensions of the cab. Third, the typical excitation conditions and the measuring points were selected. Finally, under the typical excitation conditions, the dynamic responses of the measuring points were calculated. The results show that under the vertical excitation condition, the dynamic responses of the two models have obvious differences. Under the roll excitation condition and the pitch excitation condition, the roll responses and the pitch responses of the cab between the two models show almost no obvious difference. Under the random excitation condition, the vertical acceleration responses have relatively larger deviations between the two models, however, the angular acceleration responses are almost the same. For the preliminary design of the cab system, the traditional cab system model can be used. However, for the accurate design and the optimization of the seat-cab system, the seat-cab coupled model is recommended.
Year
DOI
Venue
2019
10.1142/S1793962319500132
INTERNATIONAL JOURNAL OF MODELING SIMULATION AND SCIENTIFIC COMPUTING
Keywords
DocType
Volume
Ride comfort, traditional model, seat-cab coupled model, vibration characteristics
Journal
10
Issue
ISSN
Citations 
3
1793-9623
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Leilei Zhao100.34
Yuewei Yu200.34
Changcheng Zhou315.12
Simon Feng400.34