Hose Rubber Deterioration Modeling for Remaining Service Life
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Solution Overview
Problem
The service life of hoses used in construction machinery and factory equipment, which have an inner tube rubber layer, is difficult to predict due to the influence of operation modes and additives in the fluid, leading to potential malfunctions like fluid leakage.
Innovation Solution
A method and system for predicting the remaining service life of hoses by creating a deterioration model based on the relationship between operating time and physical property values of the inner tube rubber layer, using a fluid of the same type to determine the operating time and predict the remaining service life, considering factors like additives and operation modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If the hose is used beyond its service life, then the operating time increases, but the reliability deteriorates due to rubber layer degradation and fluid leakage
Solution Approach 1:
The system performs preliminary prediction of remaining service life by creating a deterioration model that correlates operating time with physical property changes in the rubber layer. This allows proactive identification of when the hose will reach its service life limit, enabling replacement before failure occurs and maintaining reliability throughout the extended operating period.
2Measurement precision
If a deterioration model is created using fluid from the same kind of hose, then the measurement precision of remaining service life improves, but the device complexity increases due to additional monitoring and calculation components
Solution Approach 1:
The system utilizes the fluid already present in the hose for the prediction process, making the existing fluid serve a dual purpose: its primary function and as a medium for measuring rubber layer deterioration. This eliminates the need for separate test fluids or additional complex measurement apparatus, achieving high precision while minimizing added complexity.
Solution Approach 2:
The fluid acts as an intermediary that transfers information about the rubber layer's physical property changes. By measuring how the fluid interacts with the deteriorating rubber (through pressure, flow, or other parameter changes), the system indirectly gauges the remaining service life without directly measuring the rubber itself, simplifying the overall measurement approach.
3Reliability
If the physical property value of the rubber layer is monitored over time, then the reliability of service life prediction improves, but the loss of time for data collection and analysis increases
Solution Approach 1:
The system continuously monitors the physical property values of the rubber layer throughout the hose's service life, collecting data at regular intervals. This continuous data collection creates a comprehensive deterioration trajectory, allowing for more reliable predictions without requiring lengthy post-service analysis periods, as the predictive model is continuously refined with new data points.
Solution Approach 2:
The system performs preliminary analysis of the collected physical property data to identify deterioration trends and patterns early in the hose's service life. By establishing the deterioration model upfront and updating it progressively, the system reduces the time needed for final prediction calculations, as the framework for interpretation is already in place rather than requiring extensive post-service data processing.
Data Source
AI summary
A hose remaining service life prediction method to predict a remaining service life of an in-service hose at least including an inner tube rubber layer configured containing rubber having an inside portion contacted by a fluid and having a physical property value that changes with time and including a reinforcement layer disposed further to an outside periphery than the inner tube rubber layer. The hose remaining service life prediction method includes a deterioration model creation process that for a hose of the same type to the in-service hose uses the fluid to find a relationship of the inner tube rubber layer between an operating time and the physical property value of the rubber and to create a deterioration model of the inner tube rubber layer, includes an operating time calculation process that for the in-service hose calculates an operating time of the inner tube rubber layer from start of use up to when the prediction is performed, and includes a remaining service life prediction process that predicts the remaining service life of the in-service hose based on the operating time calculated in the operating time calculation process and on the deterioration model created in the deterioration model creation process.