Research on the influence of virtual modeling and testing–based rubber track system on vibration performance of engineering vehicles

Guo, Hu; Mu, Xiyan; Yang, Xiaoyong; Lv, Kai

doi:10.30765/er.38.3.5

Cited by 4 publications

(6 citation statements)

References 7 publications

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“…This method was used in research on heavy vehicle dynamics [28,[45][46][47]. The simulations and experiment results for acceleration when driving over small obstacles were compared [48]. The simulation data is compatible with experiments at low speeds.…”

Section: Track Susceptibility In Simulation Modelsmentioning

confidence: 99%

“…Forces F x , F y and torque M z occurring in the constraints were determined according to the equations: 13, x FOR PEER REVIEW 3 of 17 [28,[45][46][47]. The simulations and experiment results for acceleration when driving over small obstacles were compared [48]. The simulation data is compatible with experiments at low speeds.…”

Section: Track Belt Modelmentioning

confidence: 99%

“…2023, 13, x FOR PEER REVIEW 3 of 17 [28,[45][46][47]. The simulations and experiment results for acceleration when driving over small obstacles were compared [48]. The simulation data is compatible with experiments at low speeds.…”

mentioning

confidence: 99%

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Susceptibility Modeling of a Rubber Track for Lightweight Mobile Robots

Szpaczyńska,

Łopatka,

Krogul

2023

Applied Sciences

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The elastic-damping properties of the rubber track structure can have a significant impact on the running gear performance of lightweight mobile robots. Taking these properties into account is particularly important for modeling obstacle negotiation and estimating the robot’s driving force. The article presents track susceptibility identification using both static and dynamic tests. The experimental results were used to validate the multi-body dynamics model of the rubber track for three modeling methods and for three track link number model variants. The methods and variants were compared by the accuracy of the susceptibility parameters obtained using them. The impact of the modeling methods on the track bending resistance simulations was also checked.

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Section: Track Susceptibility In Simulation Modelsmentioning

confidence: 99%

Section: Track Belt Modelmentioning

confidence: 99%

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Susceptibility Modeling of a Rubber Track for Lightweight Mobile Robots

Szpaczyńska,

Łopatka,

Krogul

2023

Applied Sciences

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“…In this way, the same tests that are normally performed in a test lab or on a test machine or track can be performed, but in a fraction of the time. In the case of vehicles, this is most often done to predict vehicle behaviour, to investigate 'what if' scenarios and to perform sensitivity analyses such as Magdolen [6] and HaoLiang [7].…”

Section: Introduction 11 Direct Multibody Simulationsmentioning

confidence: 99%

Inverse Multibody Simulations For Motorcycle Tire Force Analysis

Tobiáš,

Straka,

Porteš

2024

Strojnícky Časopis - Journal of Mechanical Engineering

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This paper examines the use of inverse multibody system simulations, focusing on its application in the automotive industry, particularly in the context of motorcycle dynamics. The study emphasizes the importance of accurately measuring various parameters, including the calibration of sensors and the determination of motorcycle kinematical description and weight distribution to build an accurate vehicle model. The research highlights the significance of the presented method in evaluating tire characteristics through different manoeuvres, such as ride resistances, longitudinal and lateral behaviours, and their combined dynamics. The results presented, demonstrate the correlation between the calculated tire forces and the motorcycle’s acceleration during these manoeuvres. However, the study acknowledges challenges, such as potential inaccuracies due to the rider’s movements and the limitations associated with sensor error and noise. The paper suggests potential remedies discussed in earlier research, urging further investigation into improving measurement accuracy and reliability in inverse multibody system simulations for motorcycles.

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“…The deterioration of the comfort of traveling in vehicles is due to vibrations, noise and ambient temperature. Drivers' poor driving experience makes the public transportation system less attractive (Vrcan et al, 2011;HaoLiang et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Driving Comfort Assistance System Considering Two Sensors Data

Karapetkov

Uzunov

Indrie

et al. 2021

Acta Mechanica Et Automatica

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In the present work, a system using data from two sensors located next to the driver and to the mass centre of the bus is proposed. Three degrees of discomfort have been used – comfortable, moderately uncomfortable and very uncomfortable. These levels are set out in the questionnaire. A survey was conducted. Respondents were selected between the ages of 14 and 65 and were divided into three age groups – adults, middle-aged and young. Accelerometer systems with MPU-6500 (TDK InvenSense Corp.) sensors are used. A correlation method (CORR) and sequentially improving estimation methods are used for feature selection, which significantly reduce the number of combinations of features obtained. Selected sensor data is entered into feature vectors. These vectors are reduced by principal component analysis. Predictive models have been created that take into account the age of passengers. The use of data from two sensors and separation of the passengers according their age, leads to an increase in the accuracy of predicting passengers discomfort level (DL) of up to 98%. These results can be used to evaluate and guide the vehicle driver in order to improve his driving style. In addition, the simplified interface does not distract the driver from the road conditions. The results obtained can lead to an improvement in the parameters of the transport process, which covers the interest of the carrier related to the efficient use of vehicles, and hence the reduction of fuel consumption and harmful emissions. However, it should be recommended that, when developing systems to ensure comfort of travel, adjustments should be made to suit the age group of passengers carried on public transport buses.

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Research on the influence of virtual modeling and testing–based rubber track system on vibration performance of engineering vehicles

Cited by 4 publications

References 7 publications

Susceptibility Modeling of a Rubber Track for Lightweight Mobile Robots

Susceptibility Modeling of a Rubber Track for Lightweight Mobile Robots

Inverse Multibody Simulations For Motorcycle Tire Force Analysis

Driving Comfort Assistance System Considering Two Sensors Data

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