Understanding Tire Dynamic Characteristics for Vehicle Dynamics Ride Using Simulation Methods

Siramdasu, Yaswanth; Li, Kejing; Wheeler, Robert L.

doi:10.2346/tire.19.180196

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…This took us to 67.5 Hz, even better than the customer request. While this effect is known to decrease the first vertical mode frequency, 103 we might prefer a less drastic design solution to achieve the same performance. He changed the toggle back to investigate other options.…”

Section: Discussionmentioning

confidence: 99%

“…This behavior is expected by experts and agrees with recent literature. 103 The wider the tire, the heavier the tread and the lower the first vertical resonance frequency. The vertical spread of the ICE lines also gives an idea of the range in which the prediction may lie with respect to the feature on the X -axis.…”

Section: Individual Feature Contribution Visualizationmentioning

confidence: 99%

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Interact: A visual what-if analysis tool for virtual product design

Ciorna,

Melançon,

Petry

et al. 2023

Information Visualization

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Virtual prototyping is increasingly used by businesses to streamline operations, cut costs, and enhance daily operations. This often includes a variety of modeling techniques among which, complex, black-box models. The path from model development to utilization in applied contexts is yet long. Domain experts need to be convinced of the validity of the models and to trust their predictions. To be used in the field, model capabilities need to be affordable, that is, allow rapid and interactive scenario building, even for non-experts. Complex relations governed by statistical interactions must be unveiled for users to understand unexpected predictions. We propose Interact, a model-agnostic, visual what-if tool for regression problems, supporting (1) the visualization of statistical interactions between features, (2) the creation of interactive what-if scenarios using predictive models, (3) the evaluation of model quality and building trust, and (4) the externalization of knowledge through model explainability. While the approach applies in various industrial contexts, we validate the application purpose and design with a detailed case study and a qualitative user study with engineers in the tire industry. By unraveling statistical interactions between features, the INTERACT tool proves to be useful to increase the transparency of black-box machine learning models. We also reflect on lessons learned concerning the development of visual what-if tools for virtual product development and beyond.

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Section: Discussionmentioning

confidence: 99%

Section: Individual Feature Contribution Visualizationmentioning

confidence: 99%

Interact: A visual what-if analysis tool for virtual product design

Ciorna,

Melançon,

Petry

et al. 2023

Information Visualization

View full text Add to dashboard Cite

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A cylindrical shell model with distributed springs for a rotating tire

Bari,

Singh,

Kanchwala

2024

International Journal of Mechanical Sciences

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Virtual Generation of Flexible Ring Tire Models Using Finite Element Analysis: Application to Dynamic Cleat Simulations

Siramdasu¹,

Li²,

Wheeler³

2021

Tire Science and Technology

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The main goal of this work is to investigate if finite element (FE) model techniques with special applications of material properties accurately estimate the parameters of flexible ring tire models. It is known that commercially available ring tire models are used as standard tools for simulating and predicting vehicle ride and durability, e.g., rigid ring MF-Swift [1] and flexible ring Flexible Structure Tire Model (FTire) [2–5]. Despite wide acceptance of these models, difficulty in model parameterization limits their application in the vehicle development process. For estimation of tire dynamic stiffnesses and inertial properties, rolling tire cleat test data are required for most ring models. Although this test method produces reliable models, the parameterization is not time and cost effective as it requires measurement and processing of cleat data at multiple speeds and loads and is prone to test rig dynamic compliance variations. This approach also limits the ability to evaluate tire performances during the virtual stages of tire design. The objective of this work is to develop virtual data using time and cost effective FE-based methods towards the estimation of flexible ring model parameters rather than relying on measured cleat data on physical tires. Commercial product ABAQUS is used for the FE simulations and FTire for tire flexible ring model simulations. Two FE modeling techniques are utilized in this work. Firstly, it is shown that the dynamic stiffness of a rolling tire can be estimated from a steady state eigensolution modal analysis of a static tire using material properties characterized for a rolling tire. Secondly, a method of separation of the sidewall from the tread band is developed for the estimation of mass and bending properties of the tread band. The estimated stiffnesses, inertias, and dimensions from the FE model results are converted into FTire model parameters. Finally, to validate the virtually generated FTire model, simulated dynamic cleat data response trends at multiple inflation pressures and velocities are compared with measurements. The virtual FE based techniques presented in this work can be applied to other ring based models as well.

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Understanding Tire Dynamic Characteristics for Vehicle Dynamics Ride Using Simulation Methods

Cited by 4 publications

References 10 publications

Interact: A visual what-if analysis tool for virtual product design

Interact: A visual what-if analysis tool for virtual product design

A cylindrical shell model with distributed springs for a rotating tire

Virtual Generation of Flexible Ring Tire Models Using Finite Element Analysis: Application to Dynamic Cleat Simulations

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