A Study on the Advanced Technology Analysis Process of Steering System for Idle Performance

Kim, Ki-Chang; Choi, In-Ho; Kim, Chan-Mook

doi:10.4271/2007-01-2339

Cited by 11 publications

(5 citation statements)

References 2 publications

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“…Demers 8 developed a methodology for the diagnosis of steering wheel vibrations and investigated the possible sources of these vibrations and how various steering system parameters might affect them. Kim et al 9,10 discussed the vibration characteristics of the steering wheels in front-drive small-sized passenger cars. Measurements of the vertical and lateral accelerations at the steering wheel were taken from a small-sized passenger car on a typical road.…”

Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Vibration Analyses of the Steering Wheel of a Heavy Commercial Vehicle

Yucel¹,

Derebay²

2021

The International Journal of Acoustics and Vibration

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In this study, the components of a particular heavy commercial truck that affect the steering wheel vibration are identified and the most common sources of this vibration are examined. Then, modal analyses and impact hammer tests are implemented to determine the root causes of the vibration. Finally, finite element modeling is applied, and all the results of the analyses are compared to present design improvement recommendations for the reduction in steering wheel vibration, which can be applicable in new projects.

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Section: Introductionmentioning

confidence: 99%

Theoretical and Experimental Vibration Analyses of the Steering Wheel of a Heavy Commercial Vehicle

Yucel¹,

Derebay²

2021

The International Journal of Acoustics and Vibration

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show abstract

“…However, the experimental process was very complicated and time-consuming, which increased the development cost of whole vehicles. Park [6] and Kim [7] decomposed the modal frequency of steering system into steering support and the modal frequency of steering column, studied main structural parameters affecting steering support and the stiffness of steering column and gave design regulations to control the modal frequency of steering system. Reference [8] adopted finite element method to analyze the sensitivity of NVH of dash panel and steering system to the thickness of machine parts.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of vibration characteristics of steering systems based on GA-BP neural networks

Peng¹

2017

J. vibroeng.

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Currently, multi-objective optimization of steering systems has seldom been reported, and this paper adopted GA-BPNN algorithm to optimize the top two order frequencies of steering systems. Firstly, this paper established the multi-body dynamics model of the steering system and obtained the random road spectrum of 4 wheels through mathematical model. Results showed that random road spectrums at different wheels were not totally the same and the position and size of peak values were also different. Therefore, the road spectrum of a wheel could not be used to replace the road spectrum of all wheels in multi-body dynamics simulation model. Otherwise, computational results would have a big error. Then, vibration accelerations of the steering wheel at different positions were extracted through the multi-body dynamics model of steering system. Results showed that there were two obvious peak values on the curve of vibration acceleration, and peak frequencies were 48.6 Hz and 65.1 Hz. The finite element model of steering system was established to compute the vibration acceleration, and it was compared with the experimental result. Relative error was controlled within 5 %. It indicated that the finite element model in this paper was reliable. In addition, the computational two order modal frequencies were completely the same with the peak frequencies of vibration acceleration, which proved that the peak values of vibration acceleration were totally caused by the top two order modals. Finally, GA-BPNN algorithm was proposed to optimize the structural thickness of key parts on the steering system, and the optimized result was then compared with that of BPNN and PSO-BPNN. Results showed that the optimization efficiency and result of GA-BPNN were obviously superior to those of other algorithms in the process of optimization and iteration. The optimized parameters were reapplied to the computational model of this paper. Vibration accelerations of the steering system at many positions were extracted to compare with those of the original result. Peak frequencies were significantly improved. In addition, vibration accelerations at most frequency points of the whole frequency band were significantly improved.

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“…When operating the forklift, drivers perceive vibrations through the floor panel, the pedals, the gearshift lever, the seat, and the steering wheel. As a major occupational vibration exposure, more attention should be paid to Hand-Arm Vibration (HAV) where the energy enters the body through the hands of the operator [1,2], especially for steering vibration, when the vibration is sensed by the driver through steering wheel, which directly influences drivers' operation. Severe vibration greatly reduces the worker's comfort, leading to a series of problems.…”

Section: Introductionmentioning

confidence: 99%

“…Vibration problem can be improved from the following three aspects: suppression of the vibration excitation, improvement of the vibration transmission path, and optimization of the mechanical parameters. Kim et al [2] described an analysis methodology of an optimal design process for a steering column system and supporting system while reducing the idle vibration sensitivity, which was expected to reduce the overall development period and number of proto tests. Shi et al [4] used vibration tests and modal analysis method to recognize the cause of steering wheel's idle shaking, structural optimization, and lightweight design that were taken to solve the problem.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Steering System of Forklift Vehicle for Idle Performance

Shen

Chu

Liu

et al. 2015

Mathematical Problems in Engineering

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This paper presents an optimal design process for the steering system of a forklift vehicle. An efficient procedure for minimizing the engine-induced idle vibration is developed in this study. Reciprocating unbalance and gas pressure torque as two major sources of engine excitation are studied. Using the field vibration tests and FEM analysis, the cause and characteristics of steering system’s idle vibration are recognized. So as to distribute the characteristic modes based on the optimization strategy, global sensitivity analysis of the main parameters is also carried out to achieve the optimal combination of the optimization factors. Based on all analysis above, some structure modifications for optimization are presented to control the idle vibration. The effectiveness and rationality of the improvements are also verified through experimental prototyping testing. This study also makes it possible to provide a design guideline using CAE (computer aided engineering) analysis for some other objects.

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A Study on the Advanced Technology Analysis Process of Steering System for Idle Performance

Cited by 11 publications

References 2 publications

Theoretical and Experimental Vibration Analyses of the Steering Wheel of a Heavy Commercial Vehicle

Theoretical and Experimental Vibration Analyses of the Steering Wheel of a Heavy Commercial Vehicle

Multi-objective optimization of vibration characteristics of steering systems based on GA-BP neural networks

Optimization of Steering System of Forklift Vehicle for Idle Performance

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