Tire Pitch Sequence Design for Road Noise Reduction
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Solution Overview
Problem
Current tire tread pattern designs do not adequately minimize road noise during vehicle movement, as they fail to effectively disperse acoustic energy across a wide frequency band, leading to objectionable tonal qualities.
Innovation Solution
The proposed tire pitch sequence design methodologies involve dividing the tire circumference into circumferential harmonic segments and randomly arranging pitches within each segment to distribute noise energy across a broader frequency range, using iterative randomization and waveform analysis to optimize the pitch sequence for reduced noise production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional tire tread patterns are used, then manufacturing and handling are simplified, but road noise is excessive due to concentrated acoustic energy at specific frequencies
Solution Approach 1:
The tire circumference is divided into multiple pitch sequences, each containing a specific number of pitches arranged in randomized patterns. This segmentation allows acoustic energy to be distributed across different frequency bands corresponding to different pitch sequences, reducing concentrated tonal noise while maintaining overall tread pattern functionality
Solution Approach 2:
The tread pattern uses composite pitch sequences combining different pitch lengths (e.g., 16mm, 18mm, 20mm, 22mm) and configurations within each sequence. This composite structure creates complex acoustic interference patterns that disperse noise energy across wider frequency ranges, achieving noise reduction while preserving handling characteristics
2Object-affected harmful factors
If pitch sequences are optimized for noise reduction, then road noise is minimized, but the design and analysis process becomes more complex
Solution Approach 1:
Pitch sequences are pre-designed with specific characteristics (pitch lengths, quantities, arrangements) before tire manufacturing. Waveform analysis is performed on these pre-designed sequences to predict acoustic behavior, allowing optimization to be completed during the design phase rather than requiring post-manufacturing adjustments
Solution Approach 2:
Physical prototype testing is replaced with computational waveform analysis to evaluate pitch sequence acoustic performance. The analysis system simulates tire rotation and pitch-road contact to generate frequency spectra, enabling virtual optimization of multiple pitch sequence configurations without requiring physical tire manufacturing and testing
Data Source
AI summary
Exemplary embodiments described herein are directed to tire pitch sequence design methodologies that are usable to develop tire tread pitch sequences that will minimize objectionable tonal qualities and disperse the acoustic energy produced during tire rotation across a wider frequency band. The exemplary design methodologies employ iterative randomization of pitch subsequences, waveform generation and analysis of pitch subsequences and full pitch sequences, and associated sorting and ranking using an objective function with an applied penalty factor.


