【摘 要】
:
Aiming at developing novel microwave-transparent ceramics with low dielectric loss,high thermal conductivity and high strength,Si3N4-AlN (30%,mass fraction) comp
【机 构】
:
College of Materials Science and Engineering,Beijing Sinoma Synthetic Crystals Co. Ltd.
【基金项目】
:
the Commission of Science,Technology and Industry for National Defence,China;the National High Technology Research and Development Program of China;国家自然科学基金
论文部分内容阅读
Aiming at developing novel microwave-transparent ceramics with low dielectric loss,high thermal conductivity and high strength,Si3N4-AlN (30%,mass fraction) composite ceramics with La2O3 as sintering additive were prepared by hot-pressing at 1 800 ℃ and subsequently annealed at 1 450 ℃ and 1 850 ℃ for 2 h and 4 h,respectively.The materials were characterízed by XRD and SEM.The effect of annealing process on the phase composition,sintering performance,microstructure,bending strength,dielectric loss and thermal conductivity of the materials was investigated.The results showed that both annealing at 1 850 ℃ and 1 450 ℃ promoted the phase transformation of α-Si3N4 to β-Si3N4.After annealing at 1 850 ℃,grain growth to a certain extent occurred in the materials.Especially,the elongated,β-Si3N4 grains showed a slight increase in diameter from 0.2 μm to 0.6 μm approximately and a decrease in aspect ratio.As a result,as the annealing time increased to 4 h,the bending strength declined from 456 MPa to 390 MPa,whereas the dielectric loss decreased to 2.15×10-3 and the thermal conductivity increased to 16.3 W/(m·K) gradually.When annealed at 1450 ℃,increasing the annealing time to 4 h significantly promoted the crystallization of glassy phase to La2Si6N8O3 phase in the materials,which led to the increase in bending strength to 619 MPa and thermal conductivity to 15.9 W/(m·K),respectively,and simultaneously the decrease in dielectric loss to 1.53×10-3.
其他文献
A new incremental support vector machine (SVM) algorithm is proposed which is based on multiple kernel learning.Through introducing multiple kernel learning int
The influences of the mask wall angle on the current density distribution,shape of the evolving cavity and machining accuracy were investigated in electrochemic
Abetraet:A novel grain boundary (GB) model characterized with different angles and positions in the nanowise was set up.By means of device simulator,the effects
A series of carbonaceous mesophase spherule/activated carbon composites were prepared as anode materials for super lithium ion capacitors using carbonaceous mes
The mechanical characters of CdZnTe crystal were investigated by nanoscratch tests,and the effects of mechanical anisotropy on the material removal rate and sur
The preparation of granulated adsorption material of water-quenched slag/rectorite composite and the treatment of Cu (Ⅱ)-containing copper smelter wastewater w
The distribution of shear stress on the cross-section of plastic metal solid circular shaft under pure torsion yielding,the applicability of complete plastic mo
Formation and evolution of secondary streamwise vortices in the compressible transitional boundary layers over a flat plate are studied using a direct numerical
In some object tracking systems,the moving object future position is an area (i.e.,target area).It is a successful estimation strategy if the predicted points f
The asymptotic behavior of solutions of a similarity equation for the laminar flow in a porous channel with suction at both expanding and contracting walls has