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

• US 9,569,563 B2
• Filed: 06/14/2010
• Issued: 02/14/2017
• Est. Priority Date: 06/14/2010
• Status: Active Grant

• Current Assignee: Compagnie Generale DES Etablissements Michelin SCA
• Original Assignee: Compagnie Generale DES Etablissements Michelin SCA, Michelin Recherche et Technique SA (Compagnie Generale DES Etablissements Michelin SCA)
• Inventors: Estor, Patrice R., Flament, Julien Matthieu, Nicholson, Verner Steve, Thomas, Anton Felipe
• Primary Examiner(s): Henson, Mischita
• Application Number:
  US13/704,425
• Publication Number:
  US 20130090879A1
• Time in Patent Office: 2,437 Days
• US Class Current: 1/1
• CPC Class Codes: G01M 1/16 by oscillating or rotating the body to be tested
• CPC Class Codes: G01M 17/02 Tyres
• CPC Class Codes: G01M 17/027 using light, e.g. infrared, ultraviolet or holographic techniques
• CPC Class Codes: G06F 17/40 Data acquisition and logging for input to computer G06F3/00

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.

Claims

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 (Δ

RRO_h) defined as;

Δ

RRO_h=Δ

RRO_h-j−

Δ

RRO_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:

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, Δ

RRO_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 run out (LSRRO_h) by the following equation;

HSRFV_h=[1+β

ν

²]*[LSRFV_h+α

_h*(HSRRO_h−

LSRRO_h)],

where β

is the speed coefficient and α

_h is the stiffness coefficient for the h harmonic.

13. The method of claim 10, wherein selected radial run out values measured for one or both of the plurality of test tires and the production tire are obtained by averaging multiple radial run out measurements obtained at different lateral track locations along a tire crown.

14. The method of claim 10, further comprising electronically identifying a quality characteristic associated with the production tire based on the level of electronically calculated high speed radial force variation.

15. The method of claim 10, wherein selected radial run out values measured for one or both of the plurality of test tires and the production tire are more particularly measured by:

obtaining a plurality of run out measurements measured along the surface of a tire at respective angular positions relative to the tire; and

filtering the run out measurements to reduce potential data spikes.

16. The method of claim 10, wherein said high speed radial force variation is electronically calculated for one or more harmonics of interest of high speed radial force variation.

17. The method of claim 10, wherein said method is used for predicting harmonic components of high speed radial force variation higher than the first harmonic, and wherein a simplified non-speed-dependent calibration model is used to predict the first harmonic component of high speed radial force variation.