Demoldability Prediction Model for Tire Tread Patterns
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Solution Overview
Problem
Current methods for predicting demoldability of new tire tread patterns are costly and subjective, as they require producing complete molds and do not account for the impact of materials used, leading to inefficiencies in manufacturing and potential production of unsuitable tire designs.
Innovation Solution
A method involving a mold specimen and a control test specimen to measure demolding forces, calculating a material impact coefficient, and applying it to predict demolding forces for new materials, thereby reducing the need for repeated measurements and accounting for material effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete molds are produced to measure demolding forces, then measurement precision is improved, but manufacturing cost increases
Solution Approach 1:
The patent divides the complete mold into separate mold specimens that can be tested independently. Instead of producing and testing entire molds for each tread pattern evaluation, the mold is segmented into reusable components (mold specimens) that can be combined with different tread pattern models, significantly reducing manufacturing costs while maintaining measurement accuracy.
Solution Approach 2:
The patent uses simplified tread pattern models as copies of the actual tread patterns. These models replicate the essential geometric features and material properties needed for demolding force measurement without requiring complete production molds, thereby reducing manufacturing complexity and cost.
2Adaptability or versatility
If new tread patterns with increased complexity are used, then functional performance is improved, but demolding time increases
Solution Approach 1:
The patent performs preliminary demolding force measurements using the predictive model before actual production. By evaluating complex tread patterns on simplified models first, potential demolding issues are identified and resolved in advance, preventing time-consuming problems during actual tire production and curing cycles.
3Adaptability or versatility
If material composition changes are made to improve tire performance, then functional requirements are met, but demolding forces are affected
Solution Approach 1:
The patent systematically varies material parameters (composition, viscosity, curing characteristics) in the predictive model to evaluate their impact on demolding forces. This allows optimization of material formulations to meet performance requirements while minimizing adverse effects on demolding, by predicting and adjusting material properties before actual production.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces costs by allowing demoldability prediction with minimal testing, ensuring compliance with industrial standards and performance requirements without the need for extensive mold production.
Implementation Method 1
the adhesion of the green casing to the mold which arises during the curing phase
Implementation Method 2
the rubbing of the casing against the mold during demolding
Data Source
AI summary
The demoldability prediction model includes the steps of choosing a mold specimen; choosing a reference material; measuring the force F0 for demolding the reference material from the mold specimen; determining the force M0 for demolding the reference material from the control test specimen; selecting a material to be measured; determining the force M for demolding the material from the control test specimen; calculating the ratio of the forces M0 for demolding the reference material and M for demolding the material from the control test specimen so as to define a coefficient C of material impact; and calculating the force F for demolding the material such that F=C×F0.