Correlation of Raw Materials and Waterborne Polyurethane Properties by Sequence Similarity Analysis

查看全文 作　　者：Xing [1,2]Zhou;Changqing [1,2]Fang;Jing [3]Chen;Shujuan [1]Li;Yan [1]Li;Wanqing [1]Lei

机构地区：[1]School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China;[2]Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an 710048, China;[3]Wuxue High School, Hubei 435400, China

出　　处：《Journal of Materials Science & Technology》索引2016年第32卷第7期,共8页

基　　金：?nancial support provided by Program for New Century Excellent Talents in University by the Ministry of Education of China(Grant No.NCET-12-1045);the Shaanxi Programs for Science and Technology Development(No.2010K01-096);Ph.D.Innovation Fund Projects of Xi’an University of Technology(No.310-252071501) 摘　　要：Anionomer-type waterborne polyurethane dispersions(PUDs) were obtained from poly(propylene glycol)(PPG), isophorone diisocyanate(IPDI) and dimethylolpropionic acid(DMPA) through a modi?ed prepolymer isocyanate process. Two series of polyurethanes were prepared(Groups A and B) and a new prediction model based on grey relational analysis is introduced to predict the impact order of raw materials on several properties, such as solids content, viscosity, acid number and electrolytic stability of polyurethanes. It is found that the model can successfully predict the impact of raw materials on the properties through the designed demonstration experiments. Furthermore, the results of the prediction model show that DMPA plays a key role in viscosity, partial acid values and electrolytic stability. 关键词：DISPERSION Material properties Model Polyurethane(PU) Stability Synthesis

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Correlation of Raw Materials and Waterborne Polyurethane Properties by Sequence Similarity Analysis

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