Analytical and experimental analysis of axial force generated by a drive shaft system

Abstract

The drive shaft system with a tripod joint is known to cause lateral vibration in a vehicle due to the axial force generated by various contact pairs of the tripod joint. The magnitude of the generated axial force, however, is related to various operating factors of the drive shaft system in a complex manner. The generated axial force due to a drive shaft system with a tripod joint and a ball joint was experimentally characterized considering ranges of operational factors, namely, the input toque, the shaft rotational speed, the articulation angle, and the friction. The data were analyzed to establish an understanding of the operational factors on the generated axial force. Owing to the observed significant effects of all the factors, a multibody dynamic model of the drive shaft system was formulated for predicting generated axial force under different operating conditions. The model integrated the roller–track contact model and the velocity-based friction model. Based on a quasi-static finite element model, a new methodology was proposed for identifying the roller–track contact model parameters, namely, the contact stiffness and force index. To further enhance the calculation accuracy of the multibody dynamic model, a new methodology for identifying the friction model parameters and the force index was proposed by using the measured data. The validity of the model was demonstrated by comparing the model-predicted and measured magnitudes of generated axial force for the ranges of operating factors considered. The results showed that the generated axial force of the drive shaft system can be calculated more accurately and effectively by using the identified friction and contact parameters in the paper.

Interval analysis and optimization of axial friction force of drive-shaft systems considering rough surface characteristics

“…Four force sensors for measuring the AFF are installed in the hydraulic actuator end. The measured results in Feng et al (2020) have shown that the test bench has a good repeatability of measurement of the AFF and the measurement accuracy of the test bench is high.…”

“…A test bench (TS GIM GmbH, Germany) for measuring the AFF of drive-shaft systems is shown in Fig. 5, which has been discussed in detail in Feng et al (2020). In short, the ball joint and the tripod joint are connected to the control motor and the hydraulic actuator, respectively.…”

Modeling and Analysis of Nonlinear Axial Force Generated by Automotive Drive-shaft Systems Based on Fractal Theory

“…Substituting Eqs. (30), (31) and 33into Eq. (32), the comprehensive curvature coefficient Kh between the roller and the track can be obtained as follows:…”

“…According to the analysis in Section 3.5, the main factors influencing the NGAF include the fractal parameters (namely, the fractal dimension and the characteristic length scale), the material parameters (namely, the elastic modulus, the Poisson's ratio and the yield strength), the operating conditions (namely, the articulation angle and the shaft angular position) and the correction coefficient. Since the effects of the operating conditions on the NGAF have been analyzed in [18,31], this section only analyzes the effects of the fractal parameters, the material parameters and the correction coefficient on the NGAF. The initial analysis values of the input parameters of the NGAF fractal model (Eq.…”

“…8(a)and 8(b), respectively. The detailed measurement method for the NGAF of a drive-shaft system have been introduced in[31]. In brief, the ball joint is connected to a control motor,…”