کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1555772 | 999151 | 2016 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Correlation of Raw Materials and Waterborne Polyurethane Properties by Sequence Similarity Analysis
ترجمه فارسی عنوان
همبستگی مواد اولیه و ویژگی های پلی یورتان آب توسط تجزیه و تحلیل شباهت های توالی
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی مواد
شیمی مواد
چکیده انگلیسی
Anionomer-type waterborne polyurethane dispersions (PUDs) were obtained from poly (propylene glycol) (PPG), isophorone diisocyanate (IPDI) and dimethylolpropionic acid (DMPA) through a modified 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Materials Science & Technology - Volume 32, Issue 7, July 2016, Pages 687-694
Journal: Journal of Materials Science & Technology - Volume 32, Issue 7, July 2016, Pages 687-694
نویسندگان
Xing Zhou, Changqing Fang, Jing Chen, Shujuan Li, Yan Li, Wanqing Lei,