Tire uniformity through identification of process signatures

• US 9,120,280 B2
• Filed: 04/29/2010
• Issued: 09/01/2015
• Est. Priority Date: 04/30/2009
• Status: Active Grant

• Current Assignee: Compagnie générale des établissements Michelin
• Original Assignee: Compagnie générale des établissements Michelin, Michelin Recherche et Technique SA (Compagnie Generale DES Etablissements Michelin SCA)
• Inventors: Mawby, William David, Jeter, Jimmy
• Primary Examiner(s): Fennema, Robert
• Assistant Examiner(s): WHITTINGTON, ANTHONY T
• Application Number:
  US13/262,969
• Publication Number:
  US 20120035757A1
• Time in Patent Office: 1,951 Days
• Field of Search: 700/105, 156/111, 731/46
• US Class Current: 1/1
• CPC Class Codes: B29D 2030/0635 Measuring and calculating tyre uniformity, e.g. using mathematical methods
• CPC Class Codes: B29D 30/0633 After-treatment specially adapted for vulcanising tyres
• CPC Class Codes: G01M 17/02 Tyres

Abstract

A system and related method for improving tire uniformity includes providing a number (n) of test tires manufactured in a known order and identifying at least one candidate cyclic process effect with a corresponding frequency of introduction (f). A given uniformity parameter, such as radial or lateral run-out, balance, mass variation, radial lateral or tangential force variation, is measured for each tire in the test set, and measured data points are combined into a concatenated composite waveform. At least one process harmonic associated with each identified cyclic process effect is separated from the tire harmonics, for example, by Fourier transformation with identification of the process harmonics as positive integer multiples of the mth harmonic of the measured uniformity parameter where m=n/f. Once the process harmonics are extracted, filtered uniformity measurements can be provided or new tires can be built with the process effect minimized.

Claims

1. A method for improving the uniformity of tires in tire manufacture, comprising:

providing a set of test tires manufactured in a known order;

identifying at least one candidate cyclic process effect and a corresponding rate of introduction of the at least one candidate cyclic process effect, the at least one candidate cyclic process effect having a period that does not fit an integer number of times within a tire circumference associated with the set of test tires;

measuring a given uniformity parameter for each tire in the set of test tires, wherein the measured uniformity parameter contains one or more tire harmonics and process harmonics;

concatenating measured data points for the set of test tires into a concatenated composite waveform;

separating at least one process harmonic associated with each of the at least one candidate cyclic process effects from the tire harmonics in the concatenated composite waveform; and

building a new tire to improve uniformity based on knowledge of each separated process harmonic.

2. The method of claim 1, wherein the number of tires in the set of test tires is such that the number of tires (n) divided by the rate of introduction corresponding to a frequency of introduction (f) of the at least one candidate cyclic process effect is a positive integer number.

3. The method of claim 2, wherein said at least one process harmonic is separated by identifying at least one positive integer multiple of the mth harmonic of the measured uniformity parameter, where m is equal to the number of tires (n) in the measured test set divided by the frequency of introduction (j) of the at least one candidate cyclic process effect.

4. The method of claim 1, wherein said step of separating at least one process harmonic from the tire harmonics comprises applying Fourier transformation to the concatenated composite waveform to identify a plurality of harmonics.

5. The method of claim 1, wherein said step of separating at least one process harmonic from the tire harmonics comprises applying a regression-based analysis to the data points forming the concatenated composite waveform.

6. The method of claim 1, wherein the given uniformity parameter measured for each tire comprises one or more of radial run out (RRO), lateral run out (LRO), mass variance, balance, radial force variation (RFV), lateral force variation (LFV) and tangential force variation (TFV).

7. The method of claim 1, wherein said step of building a new tire to improve uniformity comprises altering the angular location of material components contributing to tire effects relative to the at least one candidate cyclic process effect to reduce the combined average magnitude of the tire and process effects.

8. The method of claim 7, wherein the material components contributing to tire effects correspond to a start point or joint overlap location for one or more of casing textile plies, belt plies, bead rings, inner liner, tread and other rubber layers of the tires, the location at which a green tire is placed onto a building drum, or the location at which a green tire is placed into a press.

9. The method of claim 1, wherein said step of building a new tire to improve uniformity further comprises positioning a sensor to track the location of each introduction of the at least one candidate cyclic process effect in manufactured tires.

10. The method of claim 1, further comprising a step of filtering the measured given uniformity parameter to remove the contribution from the separated process harmonic and providing the filtered measurements as output to a user.

11. The method of claim 1, wherein the rate of introduction corresponding to the at least one candidate cyclic process effect is identified from known process conditions.

12. The method of claim 1, wherein the rate of introduction corresponding to the at least one candidate cyclic process effect is identified from performing spectral analysis of the concatenated composite waveform.

13. A system for improving the uniformity of tires in tire manufacture, comprising:

a first memory adapted for storing a plurality of concatenated data points for at least one measured uniformity parameter for a set of test tires manufactured in a known order, wherein the at least one measured uniformity parameter includes one or more tire harmonics and process harmonics;

a second memory adapted for storing software in the form of computer-executable instructions; and

at least one processor coupled to said first and second memories and configured to selectively implement the computer-executable instructions stored in the second memory to analyze the concatenated data points stored in the first memory;

wherein said at least one processor implements the computer-executable instructions stored in said second memory in order to separate at least one process harmonic associated with at least one candidate cyclic process effect having a corresponding identified frequency of introduction from the tire harmonics in a composite waveform formed from the plurality of concatenated data points, the at least one candidate cyclic process effect having a period that does not fit an integer number of times within a tire circumference associated with the set of test tires.

14. The system of claim 13, wherein the plurality of concatenated data points whose information is stored in said first memory comprises data measured for a set of test tires having a number of tires (n) such that when n is divided by the identified frequency of introduction (j) of the at least one candidate cyclic process effect, the result is approximately equal to a positive integer number.

15. The system of claim 13, wherein said at least one processor is more particularly configured to separate the at least one process harmonic from the tire harmonics by applying Fourier transformation to the concatenated data points stored in said first memory.

16. The system of claim 13, wherein said at least one processor is more particularly configured to separate the at least one process harmonic from the tire harmonics by applying a regression-based analysis to the concatenated data points.

17. The system of claim 13, wherein the frequency of introduction corresponding to the at least one candidate cyclic process effect is identified from known process conditions.

18. The system of claim 13, wherein the frequency of introduction corresponding to the at least one candidate cyclic process effect is identified from performing spectral analysis of the concatenated composite waveform.

19. The system of claim 13, further comprising a measurement machine onto which a plurality of test tires are mounted and rotated to obtain the one or more measured uniformity parameters, and wherein said measurement machine is capable of measuring one or more of radial run out (RRO), lateral run out (LRO), mass variance, balance, radial force variation (RFV), lateral force variation (LFT) and tangential force variation (TFV).

20. The system of claim 13, further comprising a controller communicatively coupled to said processor for receiving output data representative of the at least one process harmonic and the tire harmonics, and wherein said controller is coupled to a tire construction system to build a new tire that improves uniformity by altering the angular location of material components contributing to the tire effects relative to the process effect.