Carcass Fabric Strength Correlation for Tire Impact Damage Prediction
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Solution Overview
Problem
The process of designing new tires, such as pneumatic radial passenger car tires, requires numerous physical tests, which are time-consuming and resource-intensive, necessitating a more efficient method to correlate fabric properties with tire properties to reduce the number of test tire builds and physical tests.
Innovation Solution
A method involving correlating fabric properties with tire properties by determining the strength of different types of fabrics, applying mechanical impacts to tires, and establishing a correlation between the magnitude of mechanical impacts causing visual damage indicators and fabric strength, allowing for predicting tire durability and robustness without physical tire builds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If physical tire tests are conducted to determine tire durability and robustness, then reliable tire property data is obtained, but the development time and resource consumption increase significantly
Solution Approach 1:
The patent creates a correlation model that copies the relationship between fabric properties and tire properties based on a limited set of physical tests. This model then predicts tire properties for new fabric types without requiring full physical tire builds, thus reducing development time while maintaining reliability through the established correlation.
Solution Approach 2:
The patent performs preliminary physical tests on a small set of tires with different fabric types to establish the correlation between fabric strength and tire impact resistance. This preliminary data is then used to predict tire properties for subsequent designs, avoiding the need for extensive physical testing for each new tire design.
2Measurement precision
If numerous physical tire tests are performed to ensure accurate tire property determination, then measurement precision is improved, but the quantity of resources and raw materials consumed increases
Solution Approach 1:
Instead of building numerous physical tires for testing, the patent uses a correlation model that copies the relationship between fabric properties and tire properties. This allows accurate prediction of tire properties without consuming the raw materials required to build and test multiple physical tires.
Solution Approach 2:
The patent introduces a correlation model as an intermediary between fabric properties and tire properties. This mediator allows indirect determination of tire properties through fabric strength measurements, reducing the need for physical tire construction and testing while maintaining measurement precision.
3Loss of information
If a comprehensive set of physical tire tests is conducted to evaluate tire robustness, then tire property data completeness is improved, but the device complexity and process complexity increase
Solution Approach 1:
The patent uses a correlation model to copy the comprehensive tire property data that would otherwise require extensive physical testing. The model predicts complete tire property profiles based on fabric strength measurements, maintaining data completeness while simplifying the testing process.
Solution Approach 2:
The patent extracts the essential relationship between fabric properties and tire properties from a limited set of physical tests. This extracted correlation is then used to predict complete tire property profiles without requiring the complex apparatus and procedures of comprehensive physical testing.
4Measurement precision
If multiple test tires are built and physically tested to establish fabric-tire property relationships, then correlation accuracy is improved, but the productivity of the tire development process decreases
Solution Approach 1:
The patent performs preliminary tests on a small set of tires with different fabric types to establish the correlation. Once this preliminary correlation is established, it can be applied to predict properties for numerous other fabric types without requiring additional physical tire builds, thus improving productivity while maintaining correlation accuracy.
Solution Approach 2:
The patent creates a correlation model that copies the fabric-tire property relationship from limited test data. This model can then rapidly predict properties for new fabric types without requiring proportional physical testing, thereby improving development speed while preserving correlation accuracy through the established model.
Data Source
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Figure 4a~4b
AI summary
A method of correlating fabric properties with tire properties is disclosed. The method comprises the steps: providing a set of different types of fabrics; determining a magnitude of a measure of a strength of each type of fabric of the set of different types of fabrics; providing a plurality of tires (1), wherein each tire of the plurality of tires comprises one type of fabric of the set of different types of fabrics as carcass fabric (3) of the tire (1); carrying out mechanical impacts of different magnitude on the surface of a shoulder region (7) of each tire of the plurality of tires; checking each tire of the plurality of tires for a presence of a visual damage indicator at an outer surface of one or more of a sidewall region (6) and the shoulder region (7) of the tire upon carrying out one of the mechanical impacts; determining for each tire of the plurality of tires a magnitude of a measure of a mechanical impact causing the presence of the visual damage indicator; and assigning the magnitude of the measure of the mechanical impact causing the presence of the visual damage indicator of each tire of the plurality of tires to the magnitude of the measure of the strength of the type of fabric comprised in the respective tire, so as to obtain for the set of different types of fabrics value pairs comprising the magnitude of the measure of the strength of one type of fabric and the magnitude of the measure of the mechanical impact causing the presence of the visual damage indicator for the tire comprising said one type of fabric.