Cross-linked Polyethylene Cable Insulation Reliability Prediction
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Solution Overview
Problem
There is a lack of methods for predicting the reliability of cross-linked polyethylene cable insulation materials, which are critical for ensuring the integrity of electric power transmission systems.
Innovation Solution
A method is developed to predict the reliability of cross-linked polyethylene cable insulation materials by calculating the enthalpy value of the exothermic peak of the cross-linking reaction and establishing a correlation with the elongation under load, allowing for rapid assessment of material reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If thermal extension tests are conducted to evaluate reliability of cross-linked polyethylene cable insulation material, then measurement precision of reliability is improved, but loss of time and productivity deteriorate due to extensive testing requirements
Solution Approach 1:
The patent performs preliminary cross-linking reactions under different storage conditions to obtain multiple groups of cross-linked polyethylene samples with varying cross-linking degrees. This preliminary action creates a dataset that establishes the correlation between enthalpy values and elongation under load, enabling future predictions without repeating extensive thermal extension tests.
Solution Approach 2:
The patent creates a predictive model that copies the relationship between storage conditions, cross-linking degree, and reliability from the experimental data. Once the correlation is established through initial tests, the model can predict reliability for new batches of cross-linked polyethylene by measuring only the enthalpy value, replacing the need for repeated thermal extension tests.
2Adaptability or versatility
If cross-linking reactions are performed under different storage conditions to improve material adaptability, then reliability prediction capability is improved, but device complexity increases due to multiple test groups
Solution Approach 1:
The patent systematically varies storage parameters (temperature, time, humidity) to create cross-linkable materials with different degrees of spontaneous decomposition. By changing these parameters and measuring the corresponding enthalpy values and elongation under load, the patent establishes a comprehensive predictive model that accounts for various storage conditions without requiring complex testing equipment.
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 method enables rapid prediction of the reliability of cross-linked polyethylene cable insulation materials, avoiding the need for extensive thermal extension tests and ensuring compliance with standard elongation under load values.
Implementation Method 1
the cross-linking agent in cross-linkable material granules would spontaneously decompose due to the temperature of storage, the time period for storage
Implementation Method 2
linear molecular chains are linked to form a cross-linked polyethylene insulation material with a network structure via active free radicals generated by decomposition of a cross-linking agent
Implementation Method 3
subjecting multiple groups of cross-linkable materials respectively to cross-linking reactions, thereby obtaining multiple groups of cross-linked polyethylene and enthalpy values of exothermic peaks of the cross-linking reactions
Implementation Method 4
enthalpy values of exothermic peaks of the cross-linking reactions
Implementation Method 5
subjecting the multiple groups of cross-linked polyethylene to a thermal extension test to obtain elongations under load of the multiple groups of cross-linked polyethylene
Data Source
AI summary
A method for predicting reliability of a cross-linked polyethylene cable insulation material, including: subjecting cross-linkable materials respectively to cross-linking reactions, to obtain groups of cross-linked polyethylene and enthalpy values of exothermic peaks of cross-linking reactions of the groups of cross-linkable materials; subjecting the groups of cross-linked polyethylene to a thermal extension test to obtain elongations under load of the groups of cross-linked polyethylene; establishing a curve for predicting reliability of the cross-linked polyethylene cable insulation material based on enthalpy values of the exothermic peaks of cross-linking reactions of the groups of cross-linkable materials and the elongations under load of the groups of cross-linked polyethylene; subjecting a cross-linkable material to be predicted to a cross-linking reaction, thereby obtaining an enthalpy value of an exothermic peak of the cross-linking reaction of the cross-linkable material to be predicted; and comparing the enthalpy value of the exothermic peak with a standard enthalpy value.