XLPE cable insulation material aging service life prediction method

Abstract

The invention discloses an XLPE cable insulation material aging service life prediction method. The method includes the following steps that: a material to be tested is acquired; the working environmental temperature of the material to be tested is measured, and a vibration acceleration is applied to the material to be tested; and the service life of the material to be tested is predicted according to a prediction equation. The service life, temperature and other parameters of the LPE cable insulation material under an acceleration and aging combined condition are obtained and are adopted as initial conditions, so that the service life equation of the XLPE cable insulation material under different temperature and self-vibration stress is obtained on the basis of the Yierkefu molecular fracture theory equation, the Arrhenius equation, an inverse power law and a superposition rule. The calculation method of the invention has the advantages of simplicity, short test period, times-saving and cost-saving performance, and high reliability in life prediction.

Description

technical field [0001] The invention belongs to the field of polymer materials, in particular to a method for predicting the aging life of an XLPE cable insulation material. Background technique [0002] XLPE materials are mostly used for the insulation of high-voltage and large-capacity power cables, but when the power cables are in operation, they are in the state of micro-vibration at 100Hz, 200Hz, 300Hz...etc. Changes in electrical and mechanical properties, in severe cases, will cause complete failure of the insulation properties of XLPE materials. Therefore, it is very necessary to predict the life of XLPE materials under the combined action of certain operating temperature and micro-vibration. [0003] However, real long-term service environmental aging tests are usually time-consuming and laborious, which makes it very difficult to directly predict the life of XLPE materials in service. Therefore, more and more attention has been paid to the research on the predict...

AI Technical Summary

Problems solved by technology

[0004] At present, there are some life prediction methods for XLPE materials based on single-factor aging conditions, such as changing single aging conditions such as temperature, electric field strength, and relative humidity, but the life prediction methods for XLPE materials under external vibration conditions have not yet been established.

Images