Tire uniformity improvement using estimates based on convolution/deconvolution

A uniformity, tire technology, used in automotive tire testing, design optimization/simulation, special data processing applications, etc., can solve problems such as unobtainable radial force change measurements

Inactive Publication Date: 2015-12-09
MICHELIN & CO CIE GEN DES ESTAB MICHELIN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Additionally, only certain tire uniformity parameter measurements are available for tires
For example, tire radial eccentricity measurements are available, but radial force variation measurements are not available

Method used

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  • Tire uniformity improvement using estimates based on convolution/deconvolution
  • Tire uniformity improvement using estimates based on convolution/deconvolution
  • Tire uniformity improvement using estimates based on convolution/deconvolution

Examples

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example

[0076] Radial eccentricity data for the center track of a set of four test tires and radial eccentricity data for three tracks were obtained. Obtain radial force variation data for the test tire set. Using the radial force variation data and the radial eccentricity data of the center trajectory, a first convolutional model is generated according to aspects of the invention. Radial force change data and radial eccentricity data for three trajectories were used. A second convolutional model is generated according to aspects of the invention. Evaluate the coefficients of the first and second convolutional models using regression analysis. Table 1 below compares the R of the first convolutional model and the second convolutional model 2 value (coefficient of determination) and RSME value (root mean square error).

[0077] Table 1

[0078]

[0079] As demonstrated, the convolutional model generated based on the center track radial eccentricity data provides a good model rel...

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Abstract

Systems and methods for improving the uniformity of a tire using convolution / deconvolution-based uniformity parameter estimates of a tire are provided. For instance, convolution can be used to estimate radial force variation from one or more uniformity parameter measurements, including radial run out parameter measurements. Deconvolution can be used to estimate radial run out from one or more uniformity parameter measurements, including radial force variation parameter measurements. The estimated uniformity parameter can be estimated from the uniformity parameter measurements using one or more models. The one or more models can represent an estimated radial uniformity parameter at a discrete measurement point as a weighted sum of the measured radial uniformity parameter at the discrete measurement point and one or more selected measurement points proximate the discrete measurement point. The measurement points can be selected based on the contact patch length of the tire.

Description

technical field [0001] The present invention generally relates to systems and methods for improving tire uniformity, and more particularly, systems and methods for improving tire uniformity based on the use of convolution / deconvolution based uniformity parameter estimation. Background technique [0002] Among specific quantifiable characteristics of a tire, tire non-uniformity is related to symmetry (or lack thereof) about the tire's axis of rotation. Unfortunately, conventional tire building methods have many opportunities for creating non-uniformities in the tire. During the rotation of the tire, the non-uniformities present in the tire structure generate periodically varying forces at the wheel axis. Tire non-uniformity is very important as these force variations are transmitted as significant vibrations to the vehicle and the vehicle occupants. These forces are transmitted through the vehicle's suspension and can be felt on the vehicle's seat and steering wheel, or as ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M17/02
CPCG01M17/02G06F17/00G06F30/20
Inventor W·D·玛弗布伊J·M·特雷勒
Owner MICHELIN & CO CIE GEN DES ESTAB MICHELIN
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