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6篇 您的检索式:作者名="Gou Yunjun"
    题名 作者 年代 出处 被引量
1Frost formation on a super-hydrophobic surface under natural convection conditions 显示文摘Liu Zhongliang Gou Yunjun Wang Jieteng 2008International Journal of Heat Mass Transfer2008,51,25:1
2Frost formation a super-hydrophobic surface under natural convection conditions显示文摘Liu Zhongliang Gou Yunjun WangJ ieteng et at 2008IntJ Heat Mass Tran2008,37,7:1
3Frost formation on a super-hydrophobic surface under natural convection conditions显示文摘Zhongliang Liu Yunjun Gou Jieteng Wang Shuiyuan Cheng 2008International Journal of Heat and Mass Transfer2008,,25:1
4Frost formation on a super-hydrophobic surface under natural convection conditions 显示文摘Liu Zhongliang Gou Yunjun Wang Jieteng 2008International Joumal of Heat and Mass Transfer2008,51,2526:1
5Frost formation on a super-hydrophobic surface under natural convection conditions显示文摘Liu Zhongliang Gou Yunjun Wang Jieteng Cheng Shuiyuan 2008International Journal of Heat Mass Transfer2008,51,:1
6Electrical actuation and shape recovery control of shape-memory polymer nanocomposites显示文摘Shape-memory polymers(SMPs)are one of the most popular smart materials due to their light weight and high elastic deformation capability.The synergistic effect of carbon nanofiber(CNF)and carbon nanofiber paper(CNFP)on the electro-actuation of SMP nanocomposites was studied.The electrical conductivity of SMPs was significantly improved by incorporating CNF and CNFP into them.The dynamic mechanical analysis result reveals good thermal stability of SMP nanocomposites even after they were mixed with CNFs.A vision-based control system is designed to precisely control the shape recovery of SMP composites.Any quasi-state shape between the permanent shape and a temporary shape can be achieved by adjusting the electrical energy input.Experimental results demonstrated that(1)compared with the baseline material,the full recovery time of the SMP nanocomposites was decreased by 1000%to less than 80 s;(2)a good repeatability was shown in the developed vision system in 10 experimental trials and the accuracy of the controlled deflection angle of SMPs was within a 5%error bound.Fei Liang Robert Sivilli Jihua Gou Yunjun Xu Bob Mabbott 2013International Journal of Smart and Nano Materials2013,4,3:0
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