Phase analysis of titanium in steel has been carried out on thirty samples with different Ticontent from 0. 036 %-0. 204% . The various heat treatments for the samples are to anneal at 1050-1200 ℃ for a while ,follo...Phase analysis of titanium in steel has been carried out on thirty samples with different Ticontent from 0. 036 %-0. 204% . The various heat treatments for the samples are to anneal at 1050-1200 ℃ for a while ,followed by cooling at a rate of 1 . 10, 20 ℃/s ,respectively.It is achieved to separate and determine fine particle TiC ,coarse particle Ti_2CS and TiN ex-tracted from steel by controlling the oxidation potential and acidity of solutions.The results of quantrtative analysis of the individual phase show that 0. 09 %- 0. 13 % Ti-contentis enough to eliminate free nitrogen and transform MnS into Yi_2CS in steel effectively. In the case of0. 06 %- 0. 10 % Ti-content combined with annealing at 1050℃. and quick cooling at 20 ℃/s ,a prop-er amount of fine particle TiC can be precipitated and the rate of TiC (fine )/TiC (total )is high ,which arebeneficial to increase strength and toughness of steel. More Ti-content or cooling slowly will preciprtatemore coarse particle TiC which decreaces toughness severely. The proposed methods for quantitativephase analysis of titanium in steel are given in detail.展开更多
在射频能量捕获无线传感网(Radio Frequency Energy Harvesting Wireless Sensor Networks,RFEH-WSNs)中,基站(即汇聚节点)不仅具有较高的成本,而且其部署位置很大程度地决定了节点的可达吞吐量。文中研究RFEH-WSNs中满足节点吞吐量需...在射频能量捕获无线传感网(Radio Frequency Energy Harvesting Wireless Sensor Networks,RFEH-WSNs)中,基站(即汇聚节点)不仅具有较高的成本,而且其部署位置很大程度地决定了节点的可达吞吐量。文中研究RFEH-WSNs中满足节点吞吐量需求的基站最少化部署问题。首先,将该问题建模为优化问题,以深入理解该问题的本质;然后,提出一种低复杂度的启发式部署算法和一种复杂度略高的基于遗传算法的部署算法。仿真结果表明,这两种算法能找出基站数目较少的可行部署方案。相比于启发式基站部署算法,基于遗传算法的基站部署算法能得到部署基站更少的方案,但计算复杂度略高,适用于规模较小的RFEH-WSNs。展开更多
文摘Phase analysis of titanium in steel has been carried out on thirty samples with different Ticontent from 0. 036 %-0. 204% . The various heat treatments for the samples are to anneal at 1050-1200 ℃ for a while ,followed by cooling at a rate of 1 . 10, 20 ℃/s ,respectively.It is achieved to separate and determine fine particle TiC ,coarse particle Ti_2CS and TiN ex-tracted from steel by controlling the oxidation potential and acidity of solutions.The results of quantrtative analysis of the individual phase show that 0. 09 %- 0. 13 % Ti-contentis enough to eliminate free nitrogen and transform MnS into Yi_2CS in steel effectively. In the case of0. 06 %- 0. 10 % Ti-content combined with annealing at 1050℃. and quick cooling at 20 ℃/s ,a prop-er amount of fine particle TiC can be precipitated and the rate of TiC (fine )/TiC (total )is high ,which arebeneficial to increase strength and toughness of steel. More Ti-content or cooling slowly will preciprtatemore coarse particle TiC which decreaces toughness severely. The proposed methods for quantitativephase analysis of titanium in steel are given in detail.
文摘在射频能量捕获无线传感网(Radio Frequency Energy Harvesting Wireless Sensor Networks,RFEH-WSNs)中,基站(即汇聚节点)不仅具有较高的成本,而且其部署位置很大程度地决定了节点的可达吞吐量。文中研究RFEH-WSNs中满足节点吞吐量需求的基站最少化部署问题。首先,将该问题建模为优化问题,以深入理解该问题的本质;然后,提出一种低复杂度的启发式部署算法和一种复杂度略高的基于遗传算法的部署算法。仿真结果表明,这两种算法能找出基站数目较少的可行部署方案。相比于启发式基站部署算法,基于遗传算法的基站部署算法能得到部署基站更少的方案,但计算复杂度略高,适用于规模较小的RFEH-WSNs。
