介观尺度下纤维导热预测及实验研究  

Experimental Study and Thermal Conductivity Prediction of Fiber in Mesoscale Condition

作　　者：张驰[1] 阚安康[1] 孟闯[1] 郭志鹏[1] 曹丹[1] 

机构地区：[1]上海海事大学商船学院,上海201306

出　　处：《南京航空航天大学学报》2017年第4期574-579,共6页Journal of Nanjing University of Aeronautics & Astronautics

基　　金：上海市自然科学基金(15ZR1419900)资助项目;中国博士后科学基金(2016M590385)资助项目

摘　　要：在材料内部气压低于100Pa时,玻璃纤维、陶瓷纤维等芯材与泡沫类、粉末类芯材相比,其导热系数最小。为了研究纤维导热性能的影响因素,基于随机参数原理构造纤维的内部结构,结合格子波尔兹曼方法(LatticeBoltzmann method,LBM)分析了纤维直径、纤维长度及孔隙率对于导热系数的影响。然后将模拟结果与实验结果进行对比,结论表明两者吻合性良好,证明本文所采用的方法可以有效地预测纤维导热系数。The thermal conductivity of glass fiber and ceramic fiber is the lowest compared with foam and powder core materials when internal pressure of the material is less than 100 Pa.In order to study the impact factors of thermal properties of fiber,the internal structure of fiber is constructed based on the principle of random parameter,and effects of fiber diameter,fiber length and porosity on thermal conductivity are analyzed by combining with Lattice-Boltzmann method（LBM）.Moreover,the simulation results are compared with experimental results,and results show that simulation and experiment have a good agreement with each other,which indicates that the method used in this paper can predict the thermal conductivity of fiber effectively.

关 键 词：纤维芯材 空间拓扑结构 格子波尔兹曼方法 有效导热系数 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TP277[自动化与计算机技术—控制科学与工程]