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浏览/检索结果: 共3条，第1-3条 帮助 限定条件 专题：大连理工大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Improvement of Silica Dispersion in Solution Polymerized Styrene-Butadiene Rubber via Introducing Amino Functional Groups 期刊论文 INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, 卷号: 58, 页码: 1454-1461 作者:  Sun, Chongzhi;  Wen, Shipeng;  Ma, Hongwei;  Li, Yang;  Chen, Liang 收藏  |  浏览/下载：15/0  |  提交时间：2019/12/02 Anionic polymerization  Butadiene  Coupling agents  Dispersions  Hydrogen bonds  Lead compounds  Living polymerization  Rolling resistance  Rubber  Styrene  Tensile strength  Tires  Volatile organic compounds, 1 ,1-diphenylethylene  Amino functional group  Comprehensive properties  Different effects  Living anionic polymerization  Processing complexity  Silane coupling agent  Styrene butadiene rubber, Silica nanoparticles   Multi-functional solution of poly styrene-butadiene rubber containing terminated siloxane groups comprises e.g. butadiene, styrene and 1,1-diphenylethylene derivative terpolymer containing monomeric siloxy group. 专利 申请日期: 2016-01-01, 公开日期: 2016-08-10 作者:  HAN L LI Y MA H SANG W LIU P CHEN H 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/09 Application of Artificial Neural Networks in Predicting Abrasion Resistance of Solution Polymerized Styrene-Butadiene Rubber Based Composites 会议论文 IEEE Workshop on Electronics, Computer and Applications (IWECA), Ottawa, CANADA, 2014-05-08 作者:  Li, Hao;  Yang, Dazuo;  Chen, Fudi;  Zhou, Yibing;  Xiu, Zhilong 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/09 solution polymerized styrene-butadiene rubber  abrasion resistance  artificial neural networks  multilayer feed-forward neural networks  prediction