Research on the Vibration Characteristics of Air Spring Suspension Seats Considering Friction Damping
Source abstract
Abstract
Good seat comfort can bring a pleasant experience to commercial vehicle drivers. Therefore, it is necessary to study the vibration characteristics of commercial vehicle seats. This study focuses on commercial vehicle seats with air spring suspension. The friction damping expression of the suspension system was derived. Comprehensive simulation and experimental investigations were conducted on the vertical vibration transmission characteristics of the seat. A multi-objective optimization framework was established by integrating the NSGA-II algorithm with a BP neural network. Specifically, a nonlinear mathematical model was developed using the GA-BP neural network algorithm, with four design parameters as optimization variables: air spring stiffness (K1), damper damping coefficient (C1), cushion equivalent stiffness (K2), and cushion equivalent damping coefficient (C2). The optimization objective was defined as minimizing the maximum seat transmissibility (TR) at the resonance frequency (f). Through the NSGA-II, Pareto optimal solutions were systematically explored, and an optimal parameter combination was identified to enhance the dynamic comfort of the commercial vehicle seat.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Mechanical Engineering and Vibrations Research · Vehicle Dynamics and Control Systems · Effects of Vibration on Health
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
Technical Department, SCIVIC Engineering Corporation, Luoyang 471039, China
Funding
National Natural Science Foundation of China (NSFC)
References (21)
Show source-provided references
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