Method for prediction and control of harmonic components of tire uniformity parameters

Patent metadata

Field	Value
Publication number	US-9569563-B2
Application number	US-201013704425-A
Country	US
Kind code	B2
Filing date	Jun 14, 2010
Priority date	Jun 14, 2010
Publication date	Feb 14, 2017
Grant date	Feb 14, 2017

Abstract

Improved and more easily implemented methods for predicting high speed radial force variation and uneven mass distribution utilize other measurements such as radial nm out and other parameters. The prediction model for high speed radial force variation uses a speed-dependent calibration term for predicting higher harmonic components, while the same or other models can be used for the first harmonic. The uneven mass distribution prediction model accounts for deformation of the tire along multiple tracks, thus employing a more realistic model of crown deformation that accounts for changing tire stiffness levels across different harmonic components of the measured and predicted parameters.

First claim

What is claimed is:

1. A method of electronically determining uneven mass distribution levels for a production tire based on measured radial run out values, said method comprising:
electronically establishing a calibration curve for one or more test tires that correlates at least one harmonic of interest for measured radial run out to electronically calculated centripetal force;
measuring on a tire measurement apparatus the radial run out for the production tire having unknown uneven mass distribution, and isolating at least one harmonic of interest from the measured radial run out;
electronically mapping the at least one harmonic of interest of the measured radial run out for the production tire to centripetal force using the calibration curve; and
electronically calculating the uneven mass distribution for the production tire from the centripetal force identified from said electronically mapping step; and
grinding or adding extra mass to the production tire to reduce levels of uneven mass distribution identified in the production tire.

2. The method of claim 1 , wherein the radial run out measured for one or both of the one or more test tires and the production tire is obtained by averaging multiple radial run out measurements obtained at different lateral track locations along a tire crown.

3. The method of claim 1 , wherein the measured radial run out values for one or both of the one or more test tires and the production tire is obtained by subtracting a series of tire surface measurements obtained at high speed from a corresponding series of tire surface measurements obtained at low speed.

4. The method of claim 1 , wherein electronically calculating the uneven mass distribution for the production tire comprises dividing the identified centripetal force by the square of the rotational speed of the tire at which the radial run out was measured.

5. The method of claim 1 , further comprising electronically identifying a quality characteristic associated with the production tire based on the level of electronically calculated uneven mass distribution.

6. The method of claim 1 , wherein electronically establishing a calibration curve for one or more test tires more particularly comprises:
measuring on a tire measurement apparatus initial high speed radial run out (HSRRO h-0 ) and low speed radial run out (LSRRO h-0 ) for a harmonic of interest h for one or more test tires;
iteratively adding patches having different levels of known mass for (j=1, 2, . . . , J) different levels of patch mass variation to each of the one or more test tires and again measuring on a tire measurement apparatus high speed radial run out (LSRRO h-j ) and low speed radial run out (LSRRO h-j ) for the harmonic of interest h for the one or more test tires;
calculating centripetal force (CF h ) for each patch mass variation (j=1, 2, . . . , J) added to the one or more test tires from the radial run out measurements, the rotational speed at which such measurements are obtained, and the known patch parameters; and
plotting the calculated centripetal force values (CF h ) versus the radial run out value (ΔRRO h ) defined as:
ΔRRO h =ΔRRO h-j −ΔRRO h-0 =(HSRRO h-j −LSRRO h-j )−(HSRRO h-0 −LSRRO h-0 )

for each different combination of patch mass variation and tire rotational speed.

7. The method of claim 6 , wherein calculating centripetal force (CF h ) for each patch mass variation employs the following formula:

CF
h

=

ω
2

⁢

mR
θ

h

⁢

sin
⁢

⁢

Lh

2
⁢

R
θ

L

2
⁢

R
θ

,

where w is the rotational speed of the tire at high speed, m is the mass of the patch, h is the harmonic component number of interest, L is the length of the patch and R 0 is the nominal tire radius.

8. The method of claim 6 , wherein electronically calculating a calibration curve for one or more test tires further comprises performing an interpolation among the plurality of data points (CF h , ΔRRO h ) plotted for each different combination of patch mass variation and tire rotational speed.

9. The method of claim 1 , wherein the radial run out measured for one or both of the one or more test tires and the production tire more particularly comprises:
obtaining a plurality of radial run out measurements measured along the surface of a tire at respective angular positions relative to the tire; and
filtering the radial run out measurements to reduce potential data spikes.

10. A method of electronically determining high speed radial force variation for a production tire based on measured radial run out values and a speed-dependent calibration model, said method comprising:
measuring radial run out for a plurality of test tires at low speed and at high speed;
measuring radial force variation for the plurality of test tires at low speed and at high speed;
using the radial run out and radial force variation measurements to electronically calculate coefficients for generating a speed-dependent calibration model relating low speed radial force variation and radial run out to high speed radial force variation as a function of at least a rotational frequency of the production tire at high speed such that the rotational frequency is a variable in the speed-dependent calibration model;
measuring radial run out for a production tire at low speed and at high speed;
measuring radial force variation for the production tire at low speed; and
electronically calculating high speed radial force variation by applying the radial run out and radial force variation measurements for the production tire to the speed-dependent calibration model; and
grinding or adding extra mass to the production tire to reduce levels of high speed radial force variation identified in the production tire.

11. The method of claim 10 , wherein the coefficients calculated for generating a speed-dependent calibration model comprise a speed coefficient and a tire stiffness coefficient.

12. The method of claim 10 , wherein said speed-dependent calibration model relates a harmonic component of interest h of high speed radial force variation (HSRFV h ) at a given speed (ν) to a harmonic component of interest h of low speed radial force variation (LSRFV h ), a harmonic component of interest h of high speed radial run out (HSRRO h ) and a harmonic component h of low speed radial

Assignees

• Estor Patrice R
• Flament Julien Matthieu
• Nicholson Verner Steve
• Thomas Anton Felipe
• Michelin Rech Tech
• Michelin & Cie

Inventors

• Estor Patrice R
• Flament Julien Matthieu
• Nicholson Verner Steve
• Thomas Anton Felipe

Classifications

• G01M17/02 Primary

  Tyres · CPC title

• G06F17/40 Primary

  Data acquisition and logging (for input to computer G06F3/00) · CPC title

• G01M17/027

  using light, e.g. infrared, ultraviolet or holographic techniques · CPC title

• G01M1/16

  by oscillating or rotating the body to be tested · CPC title