郝春成

教授

教授 博士生导师 硕士生导师

职务:先进电工材料研究院院长

学历:博士研究生

主要任职:山东省高性能电缆料重点实验室 主任

其他任职:高压绝缘系统与先进电工材料山东省工程研究中心 主任

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Cable fault diagnosis with generalization capability using incremental learning and deep convolutional neural network

发布时间:2025-07-14 点击次数:

关键字:PEEL; NANOCOMPOSITES; RHEOLOGY; AGENT; SHEAR; TACK
摘要:Nowadays, inorganic fillers are widely used to enhance pressure-sensitive adhesives (PSAs), but inorganic fillers have problems with poor compatibility and agglomeration. Furthermore, these types of PSAs usually have an antagonistic effect: as the shear performance improves, the initial tack decreases. This severely limits the application of PSAs. Herein, white carbon black (WCB) grafted with polyisoprene (PI) was prepared and used to enhance polyisobutylene-based PSAs, and the optimal reaction conditions of grafting were explored. The shear and peel strength of PSAs all increase with the increase of the mass fraction of fillers. When the filler content is less than 10 wt%, the initial tack of PSAs increases. When the filler content exceeds 10 wt%, the initial viscosity of PSAs decreases, but it is still far higher than that of the unmodified WCB-reinforced PSAs system. In addition, the rheological performances of PSAs were tested, further exploring the role of particle grafting in PSAs.Highlights PSAs reinforced with white carbon black grafted with polyisoprene were prepared. The optimal conditions for modified white carbon black have been determined. The grafting fillers have improved all the performance of PSAs. The grafting of fillers significantly reduces the antagonistic effect of PSAs. Rheology was used to explore the effect of filler grafting in the PSAs.
卷号:46
期号:5
是否译文: