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
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[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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