Hose Lifetime Prediction Using Thermal Degradation Modeling
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Solution Overview
Problem
Conventional methods for predicting the remaining lifetime of hoses with inner tubular rubber layers require monitoring of both pressure and temperature, leading to increased costs and lack of simplicity.
Innovation Solution
A hose remaining lifetime prediction method that generates a thermal degradation model based on the relationship between use time and physical property values of the rubber, allowing for prediction of remaining lifetime without requiring continuous pressure and temperature monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If both pressure and temperature monitoring are implemented for hose lifetime prediction, then prediction accuracy is improved, but system complexity and cost increase
Solution Approach 1:
The patent extracts only the temperature parameter from the dual pressure-temperature monitoring approach, eliminating pressure monitoring while retaining sufficient prediction accuracy through thermal degradation modeling of the rubber layer
Solution Approach 2:
The patent replaces mechanical/physical monitoring of multiple parameters (pressure and temperature) with a computational thermal degradation model that processes temperature data to predict lifetime, reducing hardware complexity
2Measurement precision
If both pressure and temperature monitoring are implemented for hose lifetime prediction, then prediction accuracy is improved, but cost increases
Solution Approach 1:
The patent removes pressure monitoring requirements, retaining only temperature monitoring, thereby reducing the quantity of sensors and associated costs while maintaining adequate prediction accuracy through the thermal degradation model
Solution Approach 2:
The patent changes the approach from monitoring multiple physical parameters (pressure and temperature) to monitoring a single parameter (temperature) combined with a computational model, reducing overall system cost
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
Enables easy and accurate prediction of hose remaining lifetime, reducing costs and complexity while preventing hose failures by focusing on thermal degradation modeling.
Implementation Method 1
The rubber layers of such hoses are gradually degraded over long periods of time, even when the hoses are used within ranges specified by specifications of the hoses
Data Source
AI summary
A method and system for easily predicting a remaining lifetime of a hose are provided. A hose remaining lifetime prediction method and a hose remaining lifetime prediction system, for predicting a remaining lifetime of a hose 1 in use, include obtaining in advance, for a hose of the same type, relationship between use time of an inner tubular rubber layer 11 at a reference temperature and a physical property value of rubber forming the inner tubular rubber layer 11, generating a thermal degradation model for the inner tubular rubber layer 11, calculating, for the hose 1 in use, reference temperature use time being use time of the inner tubular rubber layer 11 at the reference temperature until a time of the prediction, and predicting the remaining lifetime of the hose 1 in use, based on comparison between the reference temperature use time and the thermal degradation model.