کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5022334 | 1469486 | 2017 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Enhanced shape memory property of polylactide/thermoplastic poly(ether)urethane composites via carbon black self-networking induced co-continuous structure
ترجمه فارسی عنوان
خصوصیات حافظه شکل پیشرفته از کامپوزیت های پلی اتیلن / پلی اتیل ترموپلاستی (اتر) از طریق ساختار دائمی پیوسته القا شده توسط خود سلول های کربن
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی (عمومی)
چکیده انگلیسی
The preparation of elastomer/plastic blends with co-continuous structure is beneficial to achieve good shape recovery and fixing performances. In this work, carbon black (CB) nanoparticles with self-networking capability were introduced to tailor the phase morphology and shape memory properties of polylactide (PLA)/thermoplastic poly(ether) urethane (TPU) blend (70/30 by weight). A morphological change from sea-island structure to co-continuous structure was observed with increasing CB content. The strong affinities between CB nanoparticles and TPU as well as the self-networking capability of CB nanoparticles led to the formation of this co-continuous structure. With such novel structure, the PLA70/TPU30/CB ternary composites owned an outstanding shape memory property because the continuous TPU phase provided stronger recovery driving force. Moreover, the selective localization of CB nanoparticles in the continuous TPU phase imparted the composites with enhanced mechanical properties and excellent electrical conductivities with low filler content. The composites then showed a good electroactive shape memory behavior, which could recover to their original shape within 80Â s at 30Â V. Our work provides a universal strategy via CB self-networking to prepare double percolated conductive polymer composites with optimal shape memory properties and excellent electrical conductivities, which may promote specific applications in intelligent devices.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Composites Science and Technology - Volume 139, 8 February 2017, Pages 8-16
Journal: Composites Science and Technology - Volume 139, 8 February 2017, Pages 8-16
نویسندگان
Xiaodong Qi, Hao Xiu, Yuan Wei, Yan Zhou, Yilan Guo, Rui Huang, Hongwei Bai, Qiang Fu,