Short-carbon-fibers(C_(sf))reinforced Ti_(3)SiC_(2) matrix composites(C_(sf)/Ti_(3)SiC_(2),the C_(sf) content was 0 vol%,2 vol%,5 vol%,and 10 vol%)were fabricated by spark plasma sintering(SPS)using Ti_(3)SiC_(2) powd...Short-carbon-fibers(C_(sf))reinforced Ti_(3)SiC_(2) matrix composites(C_(sf)/Ti_(3)SiC_(2),the C_(sf) content was 0 vol%,2 vol%,5 vol%,and 10 vol%)were fabricated by spark plasma sintering(SPS)using Ti_(3)SiC_(2) powders and C_(sf) as starting materials at 1300℃.The effects of C_(sf) addition on the phase compositions,microstructures,and mechanical properties(including hardness,flexural strength(σ_(f)),and KIC)of C_(sf)/Ti_(3)SiC_(2) composites were investigated.The C_(sf),with bi-layered transition layers,i.e.,T_(IC) and SiC layers,were homogeneously distributed in the as-prepared C_(sf)/Ti_(3)SiC_(2) composites.With the increase of C_(sf) content,the K_(IC) of C_(sf)/Ti_(3)SiC_(2) composites increased,but the σ_(f) decreased,and the Vickers hardness decreased initially and then increased steadily when the C_(sf) content was higher than 2 vol%.These changed performances(hardness,σ_(f),and K_(IC))could be attributed to the introduction of C_(sf) and the formation of stronger interfacial phases.展开更多
In this paper, the stability in Lagrange sense of a class of stochastic static neural networks with mixed time delays is studied. Based on the Lyapunov stability theory and with the help of stochastic analysis techniq...In this paper, the stability in Lagrange sense of a class of stochastic static neural networks with mixed time delays is studied. Based on the Lyapunov stability theory and with the help of stochastic analysis technique, the criteria for the stability in Lagrange sense of stochastic static neural networks with mixed time delays is obtained. One example is given to verify the advantage and applicability of the proposed results.展开更多
基金supported by the Joint Fund of Liaoning-SYNL(Grant No.2019JH3/30100035)the Science and Technology Foundation of National Defense Key Laboratory(Grant No.HTKJ2019KL703006).
文摘Short-carbon-fibers(C_(sf))reinforced Ti_(3)SiC_(2) matrix composites(C_(sf)/Ti_(3)SiC_(2),the C_(sf) content was 0 vol%,2 vol%,5 vol%,and 10 vol%)were fabricated by spark plasma sintering(SPS)using Ti_(3)SiC_(2) powders and C_(sf) as starting materials at 1300℃.The effects of C_(sf) addition on the phase compositions,microstructures,and mechanical properties(including hardness,flexural strength(σ_(f)),and KIC)of C_(sf)/Ti_(3)SiC_(2) composites were investigated.The C_(sf),with bi-layered transition layers,i.e.,T_(IC) and SiC layers,were homogeneously distributed in the as-prepared C_(sf)/Ti_(3)SiC_(2) composites.With the increase of C_(sf) content,the K_(IC) of C_(sf)/Ti_(3)SiC_(2) composites increased,but the σ_(f) decreased,and the Vickers hardness decreased initially and then increased steadily when the C_(sf) content was higher than 2 vol%.These changed performances(hardness,σ_(f),and K_(IC))could be attributed to the introduction of C_(sf) and the formation of stronger interfacial phases.
基金supported by the National Natural Science Foundation of China(11171374)Natural Science Foundation of Shandong Province(ZR2011AZ001)
文摘In this paper, the stability in Lagrange sense of a class of stochastic static neural networks with mixed time delays is studied. Based on the Lyapunov stability theory and with the help of stochastic analysis technique, the criteria for the stability in Lagrange sense of stochastic static neural networks with mixed time delays is obtained. One example is given to verify the advantage and applicability of the proposed results.
