Numerical prediction of the thermal conductivity of fibers

被引:0
|
作者
Faleh A. Al-Sulaiman
Yagoub N. Al-Nassar
Esmail M.A. Mokheimer
机构
[1] King Fahd University of Petroleum and Minerals,Mechanical Engineering Department
来源
Heat and Mass Transfer | 2006年 / 42卷
关键词
Prediction; Thermal conductivity; Composite material; Fiber; Air voids;
D O I
暂无
中图分类号
学科分类号
摘要
The need to determine the thermal conductivity of fibers for design purposes of new composite materials and the inherent difficulties in the direct measurement of the thermal conductivity of fibers motivated the present work due to its importance for energy conservation purposes. In this work, a correlation formula is developed to predict the thermal conductivities of fiber as function of the effective thermal conductivity of a fiber-reinforced composite laminates and their constituents which are easy to measure. The parallel and series thermal models of composite walls have been utilized in developing this correlation equation. The coefficients of this formula can be given as functions of the voids volume fraction for each fiber to resin volume ratio considered. The validity of the models is verified through finite element analysis. This model also shows excellent agreement with the available experimental values.
引用
收藏
页码:449 / 461
页数:12
相关论文
共 50 条
  • [31] High-temperature thermal conductivity of ceramic fibers
    Gumen, V
    ul Haq, A
    Illyas, B
    Maqsood, A
    JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE, 2001, 10 (04) : 475 - 478
  • [32] High-temperature thermal conductivity of ceramic fibers
    V. Gumen
    B. Illyas
    A. Maqsood
    A. ul Haq
    Journal of Materials Engineering and Performance, 2001, 10 : 475 - 478
  • [33] The thermal conductivity of ribbon-shaped carbon fibers
    Gallego, NC
    Edie, DD
    Nysten, B
    Issi, JP
    Treleaven, JW
    Deshpande, GV
    CARBON, 2000, 38 (07) : 1003 - 1010
  • [34] Measurement and Prediction of the Thermal Conductivity of Fused Quartz in the Range of 5–45 ℃
    Xin Rui Zhang
    Gang Qiang Kong
    Yong Hui Chen
    Long Chen
    Geng Chen
    International Journal of Thermophysics, 2021, 42
  • [35] Numerical Calculation of the Effective Thermal Conductivity of Nanocomposites
    Bui, Khoa
    Papavassiliou, Dimitrios V.
    NUMERICAL HEAT TRANSFER PART A-APPLICATIONS, 2013, 63 (08) : 590 - 603
  • [36] Numerical Approach to Determining Windings' Thermal Conductivity
    Zeaiter, Amal
    Fenot, Matthieu
    Saury, Didier
    2018 XIII INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES (ICEM), 2018, : 1291 - 1296
  • [37] PREDICTION OF THERMAL CONDUCTIVITY OF HYBRID NANOFLUIDS BASED ON DEEP FOREST MODEL
    He, Deqiang
    Li, Chengping
    Chen, Yanjun
    Li, Xianwang
    HEAT TRANSFER RESEARCH, 2022, 53 (14) : 55 - 71
  • [38] Effective Prediction of Thermal Conductivity of Concrete Using Neural Network Method
    Lee, Jong-Han
    Lee, Jong-Jae
    Cho, Baik-Soon
    INTERNATIONAL JOURNAL OF CONCRETE STRUCTURES AND MATERIALS, 2012, 6 (03) : 177 - 186
  • [39] Thermal Conductivity of CF/h-BN/EPDM Composites and Numerical Simulation of Their Thermal Conductivity
    Liu, Zehong
    Jiang, Xinghua
    Guo, Jianhua
    Gaofenzi Cailiao Kexue Yu Gongcheng/Polymeric Materials Science and Engineering, 2024, 40 (07): : 85 - 93
  • [40] Effective Prediction of Thermal Conductivity of Concrete Using Neural Network Method
    Jong-Han Lee
    Jong-Jae Lee
    Baik-Soon Cho
    International Journal of Concrete Structures and Materials, 2012, 6 : 177 - 186