Tread Selection Based on Casing Life Prediction
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Solution Overview
Problem
Tire users face challenges in selecting an appropriate tread that balances rolling resistance, cost, and lifespan, leading to inefficient fuel consumption and increased retreading costs, with existing methods failing to provide a tailored solution based on specific vehicle conditions and user needs.
Innovation Solution
A method for selecting an optimal tread by measuring tire and vehicle conditions, predicting remaining tire life, and recommending treads based on wear life information, user needs, and environmental factors, using a system that includes a tire condition measurement unit, casing life prediction unit, and tread selection unit to display suitable tread options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a thin tread is selected, then rolling resistance is reduced and fuel consumption decreases, but tread life shortens and retreading costs increase
Solution Approach 1:
The system dynamically selects tread thickness based on real-time casing condition assessment and predicted remaining life, adjusting the optimal tread specification to match the actual state of the casing rather than using a fixed selection criterion
Solution Approach 2:
The system incorporates feedback from casing condition measurement and remaining life prediction to inform tread selection, creating a closed-loop decision-making process that optimizes the balance between fuel efficiency and tread durability
2Duration of action of moving object
If a thick tread is selected, then tread life is extended and retreading costs decrease, but rolling resistance increases and fuel consumption increases
Solution Approach 1:
The system dynamically adjusts tread thickness recommendations based on the assessed remaining life of the casing, optimizing the balance between durability and fuel efficiency for each specific casing rather than applying a uniform rule
Solution Approach 2:
The system changes the key parameter of tread thickness based on the predicted remaining life of the casing, selecting different optimal values depending on the casing's actual condition and expected performance
3Ease of operation
If tread selection is made without considering specific vehicle conditions, then selection process is simplified, but tire performance and efficiency are suboptimal
Solution Approach 1:
The system automatically measures casing conditions, predicts remaining life, and recommends optimal tread selections without requiring manual assessment or complex user input, making the sophisticated selection process as simple as initiating the automated system
Solution Approach 2:
The system replaces manual expert assessment and decision-making with automated measurement, prediction, and recommendation algorithms, substituting human judgment with computational analysis
Data Source
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AI summary
A method for tread selection to select a tread to attach to a tread side of a tire casing when manufacturing a tire includes the steps of: a) measuring, by a tire condition measurement unit, at least one characteristic value indicating at least one of a tire condition and a vehicle running condition; b) predicting, by a casing life prediction unit, a remaining life of the tire casing based on the at least one characteristic value measured in step a); c) selecting, by a tread selection unit, at least one recommended tread in accordance with the remaining life of the tire casing predicted in step b) from among a plurality of treads attachable to the tire casing, using wear life information calculated in advance for each of the treads; and d) displaying, by a terminal, the at least one recommended tread selected in step c).