Tire uniformity through dispersion optimization

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

providing at least one set of test tires constructed with one or more process elements, each process element being characterized by a known relative angular location;

measuring at least one uniformity parameter for at least one harmonic of interest for each tire in the at least one set of test tires;

determining respective rectangular coordinates for each measured uniformity parameter and harmonic of interest for each tire;

analyzing a form of the determined rectangular coordinates for each tire to identify optimized relative angular locations for each process element that reduce dispersion of the measured uniformity parameter; and

building a new tire with the one or more process elements positioned in accordance with the identified optimized relative angular locations.

2. The method of claim 1 , wherein said step of analyzing a form of the determined rectangular coordinates comprises:

computing residual vectors for each tire;

transforming the residual vectors by computing the log of the squared value of each residual component; and

determining the contribution of each process element to the transformed residual vectors;

wherein the determined contribution of each process element to the transformed residual vectors is used to identify optimized relative angular locations for each process element that reduce dispersion of the measured uniformity parameter.

3. The method of claim 1 , wherein said step of analyzing a form of the determined rectangular coordinates comprises:

computing residual vectors for each tire;

transforming the residual vectors by computing the log of the squared value of each residual component;

determining the contribution of each process element to the transformed residual vectors;

determining the contribution of each process element to the respective rectangular coordinates; and

wherein the determined contribution of each process element to the transformed residual vectors and the determined contribution of each process element to the respective rectangular coordinates are used to identify optimized relative angular locations for each process element that reduce both dispersion and mean of the measured uniformity parameter.

4. The method of claim 3 , wherein the optimization of relative angular locations for each process element that reduce both dispersion and mean occurs by weighting the respective effects of dispersion and mean at different levels, and then combining the weighted effects to determine the best combination of process element locations to achieve an optimized yield.

5. The method of claim 3 , wherein the optimization of relative angular locations for each process element that reduce both dispersion and mean occurs by maximizing the sum of the mean value and three times the standard deviation.

6. The method of claim 1 , wherein the one or more process elements established in said step of providing at least one set of test tires comprise one or more of a material component, a manufacturing technique and a controllable condition used in construction of a tire.

7. The method of claim 1 , wherein the at least one uniformity parameter measured in said step of measuring at least one uniformity parameter 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).

8. The method of claim 1 , wherein the one or more process elements established in said step of providing at least one set of test tires corresponds 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.

9. The method of claim 1 , wherein the one or more process elements established in said step of providing at least one set of test tires corresponds to one or more of the introduction of a green tire onto a building drum, placing a green tire into a mold or press and subjecting the green tire to heat and pressure.

10. The method of claim 1 , wherein said step of determining respective rectangular coordinates for each measured uniformity parameter and harmonic of interest for each tire more particularly comprises: determining a vector representation for at least one harmonic of interest for each measured uniformity parameter; and converting the vector data into rectangular coordinates.

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

a first memory adapted for storing one or more measured uniformity parameters for a plurality of test tires and rotational characteristics for one or more process elements used in constructing the plurality of test tires;

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 measured parameters and rotational characteristics stored in the first memory;

wherein said at least one processor is configured to implement the computer-executable instructions stored in said second memory in order to implement the functions of: determining respective rectangular coordinates for each measured uniformity parameter and harmonic of interest for each tire; and analyzing a form of the determined rectangular coordinates for each tire to identify optimized relative angular locations for each process element that reduce dispersion of the measured uniformity parameter.

12. The system of claim 11 , wherein said at least one processor is more particularly configured to analyze a form of the determined rectangular coordinates by: computing residual vectors for each tire; transforming the residual vectors by computing the log of the squared value of each residual component; and determining the contribution of each process element to the transformed residual vectors.

13. The system of claim 11 , wherein said at least one processor is more particularly configured to analyze a form of the determined rectangular coordinates by: computing residual vectors for each tire; transforming the residual vectors by computing the log of the squared value of each residual component; determining the contribution of each process element to the transformed residual vectors; determining the contribution of each process element to the respective rectangular coordinates; and identifying optimized relative angular locations for each process element that reduce both dispersion and mean of the measured uniformity parameter.

14. The system of claim 11 , further comprising an output device for displaying the optimized relative angular locations for each process element.

15. The system of claim 11 , 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.

16. The system of claim 11 , further comprising a controller communicatively coupled to said processor for receiving output data representative of the optimized relative angular locations for each process element.

17. The system of claim 16 , wherein said controller is coupled to a tire construction system to build a new tire with the one or more process elements positioned in accordance with the identified optimized relative angular locations.