Tire Uniformity Waveform Analysis for Joint Effect Separation
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Solution Overview
Problem
Current methods for tire uniformity analysis inaccurately separate continuous cyclic effects from discrete effects such as those resulting from product joints, leading to reduced effectiveness of uniformity correction processes, as discrete effects are local phenomena and contribute to multiple harmonics simultaneously.
Innovation Solution
A method and system that analyze the uniformity waveform to parse it into continuous components and joint components, using linear regression or linear programming to determine joint characteristics like location, height, and shape, allowing for targeted modifications in the tire manufacturing process to improve uniformity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional uniformity analysis methods are used to separate continuous cyclic effects from discrete effects, then the analysis process is simple, but the separation accuracy is poor and correction effectiveness is reduced
Solution Approach 1:
The uniformity waveform is segmented into discrete joint components and continuous cyclic components through a structured mathematical model. The discrete effects from product joints are separated as individual square-wave-like components, while continuous effects are represented as cyclic components, enabling accurate identification and correction of each component's contribution to uniformity variations.
2Manufacturing precision
If discrete effects from product joints are not accurately identified, then the analysis process is simpler, but the uniformity correction effectiveness is reduced
Solution Approach 1:
A mathematical model acts as an intermediary between the measured uniformity waveform and the discrete joint effects. The model uses square-wave-like functions to represent joint effects, allowing the system to accurately detect and measure discrete effects from product joints by fitting the waveform components, thereby improving uniformity correction effectiveness.
3Manufacturing precision
If correction procedures address uniformity at one harmonic without considering other harmonics, then the correction process is simpler, but uniformity deteriorates at other harmonics
Solution Approach 1:
The system identifies and corrects discrete joint effects by modeling them as square-wave-like components that contribute to multiple harmonics simultaneously. By changing the parameters of the joint effect model (amplitude, phase, width) to minimize the overall waveform error, the correction procedure improves uniformity across multiple harmonics rather than just at a single harmonic, maintaining stability across the frequency spectrum.
Data Source
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Figure 3(c)~4(b)
AI summary
Systems and methods for improving the uniformity of a tire by separating uniformity contributions associated discrete effects, such as effects resulting from product joints, from continuous effects are provided. For instance, uniformity contributions associated with the product joints are determined by analyzing a uniformity waveform to process the uniformity waveform into one or more continuous components and at least one joint component. Knowledge of the uniformity contributions associated with product joints in the tire can be used, for instance, to make structural improvements in the manufacture of the tire, to actively manage the joint-making process, and to perform dynamic correction of joint effects.