Understanding the correlation between the physical features of composite components and thermal conductive pathway is beneficial to optimizing the overall heat-transfer performance.Herein,we conduct numerical simulati...Understanding the correlation between the physical features of composite components and thermal conductive pathway is beneficial to optimizing the overall heat-transfer performance.Herein,we conduct numerical simulation to investigate the thermal conductivity and heat flux distributions of alumina(Al_(2)O_(3))-filled composites.The finite element model was verified by both experimental data and theoretical models.The crucial factors include the influence of the interface thermal resistance,the intrinsic thermal conductivity of the matrix and Al_(2)O_(3)filler,and the size effect of Al_(2)O_(3)fillers were investigated.For single Al_(2)O_(3)-filled composites,the results indicate that increasing the intrinsic thermal conductivity of the matrix is conductive to bridge the Al_(2)O_(3)pathway along heat-transfer direction,but there are very limited contributions by enhancing the intrinsic thermal conductivity of Al_(2)O_(3)filler,tuning the size of Al_(2)O_(3)filler,and reducing the interface thermal resistance.After introducing the multiscale fillers,it is found that the high thermal conductivity can be achieved by regulating their size matching effect.At the optimal binary ratio of 70:30(40µm:15µm)and ternary ratio of 55:35:10(40µm:15µm:10µm),the heat-conduction network presents the dominant skeleton of large-sized filler and the bridging branch of small-sized fillers features,which facilitates the formation of a complete and continuous thermal conductive network.This study gives a practical guidance for the thermal conductive design of Al_(2)O_(3)-filled composites.展开更多
基金This work was supported by the National Natural Science Foundation of China(51606190 and 52006219)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA 21000000).
文摘Understanding the correlation between the physical features of composite components and thermal conductive pathway is beneficial to optimizing the overall heat-transfer performance.Herein,we conduct numerical simulation to investigate the thermal conductivity and heat flux distributions of alumina(Al_(2)O_(3))-filled composites.The finite element model was verified by both experimental data and theoretical models.The crucial factors include the influence of the interface thermal resistance,the intrinsic thermal conductivity of the matrix and Al_(2)O_(3)filler,and the size effect of Al_(2)O_(3)fillers were investigated.For single Al_(2)O_(3)-filled composites,the results indicate that increasing the intrinsic thermal conductivity of the matrix is conductive to bridge the Al_(2)O_(3)pathway along heat-transfer direction,but there are very limited contributions by enhancing the intrinsic thermal conductivity of Al_(2)O_(3)filler,tuning the size of Al_(2)O_(3)filler,and reducing the interface thermal resistance.After introducing the multiscale fillers,it is found that the high thermal conductivity can be achieved by regulating their size matching effect.At the optimal binary ratio of 70:30(40µm:15µm)and ternary ratio of 55:35:10(40µm:15µm:10µm),the heat-conduction network presents the dominant skeleton of large-sized filler and the bridging branch of small-sized fillers features,which facilitates the formation of a complete and continuous thermal conductive network.This study gives a practical guidance for the thermal conductive design of Al_(2)O_(3)-filled composites.
