IMPROVEMENT OF TIRE UNIFORMITY THROUGH IDENTIFICATION OF PROCESS EFFECTS USING REGRESSION ANALYSIS WITHOUT AZIMUTH DATA

摘要

Systems and methods for improving the uniformity of a tire based on estimated process harmonic magnitudes for one or more process effects are provided. Magnitudes of process harmonics associated with one or more candidate process effects can be determined from the observed magnitudes of one or more harmonics of measured uniformity parameters. The estimated process harmonic magnitude(s) can be determined without requiring phase angle or azimuth information associated with the observed magnitudes. The estimated process harmonic magnitude(s) can be determined by identifying a process harmonic magnitude pattern for identified candidate process effects. A model can be constructed correlating the candidate magnitudes specified by the process harmonic magnitude pattern with observed magnitudes of corresponding harmonics of a measured uniformity waveform. Regression or programming techniques can be used to estimate coefficients associated with candidate magnitude terms in the model.

主权项

1. A method for improving the uniformity of a tire, comprising:
identifying at least one candidate process effect; identifying a process harmonic magnitude pattern for the at least one candidate process effect, the process harmonic magnitude pattern specifying a candidate magnitude for each of one or more process harmonics of the at least one candidate process effect; obtaining an observed magnitude for each of one or more harmonics of a measured uniformity parameter for each tire in a set of one or more test tires; determining, with the computing device, an estimated process harmonic magnitude for each of the one or more process harmonics based at least in part on the candidate magnitude associated with the process harmonic and the observed magnitude associated with a corresponding harmonic of the measured uniformity parameter for each tire in the set of one or more test tires; and modifying tire manufacture based at least in part on the estimated process harmonic magnitude determined for each of the one or more process harmonics of the at least one candidate process effect.