Tyre forces estimation for off-road motorcycles

Vasquez, F.; Lot, Roberto; Rustighi, Emiliano; Pegoraro, R.

doi:10.1016/j.ymssp.2020.107228

Cited by 5 publications

(1 citation statement)

References 21 publications

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“…While a plethora of commercial software solutions exists in this domain, this paper specifically adopts the utilization of SAMS (Symbolic Analysis of Mechanical Systems), a multibody system software developed by Porteš [1]. This methodology aligns with similar strategies outlined in publications written by Bartolozzi [2], Vasquez [3] or Cheli [4]. Moreover, multibody simulations are a industry standard in many engineering applications, not limited to automotive sector.…”

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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Section: Introduction 11 Direct Multibody Simulationsmentioning

confidence: 99%