Abrasion resistance prediction system, abrasion resistance prediction device, and abrasion resistance prediction method
The prediction system uses a trained model to predict tire wear resistance based on physical properties, addressing the inefficiencies of traditional methods by providing rapid and accurate wear resistance assessment without sample preparation or machine testing.
JP2026116610APending Publication Date: 2026-07-10SUMITOMO RUBBER INDUSTRIES LTD
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SUMITOMO RUBBER INDUSTRIES LTD
- Filing Date
- 2024-12-30
- Publication Date
- 2026-07-10
AI Technical Summary
Technical Problem
Existing methods for evaluating tire wear resistance are time-consuming and labor-intensive, requiring the preparation of rubber samples and the use of wear testing machines, and developers cannot predict wear resistance without manufacturing prototypes.
Method used
A prediction system and method that uses a trained model to predict wear resistance based on physical properties of vulcanized rubber compositions, eliminating the need for sample preparation and wear testing machines.
Benefits of technology
Enables quick and accurate prediction of wear resistance performance without the use of abrasion testing machines, allowing developers to determine tire wear resistance without manufacturing prototypes.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure 2026116610000001_ABST
Abstract
This invention provides an abrasion resistance prediction system, an abrasion resistance prediction device, and an abrasion resistance prediction method that can quickly and accurately predict the abrasion resistance performance of vulcanized rubber compositions such as tires without using an abrasion testing machine. [Solution] The prediction system 100 comprises a prediction device 10, an information terminal 20, and a database 30. In the prediction device 10, the prediction processing unit 111 uses physical property values and a prediction model related to the vulcanized rubber composition to predict the evaluation value of the vulcanized rubber composition that is the target of prediction.
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