无机沉淀物气浮表观活化能影响因素的研究

选取Ｎｉ２＋，Ｐｈ２＋，Ｚｎ２＋，Ｂｉ３＋，Ｃｒ３＋，Ｆｅ３＋，Ｃｅ４＋等重金属离子生成氢氧化物、硫化物及磷酸盐沉淀作试验．研究了沉淀物的种类和形态、沉淀物与气浮剂的吸附形态、不同的气浮剂及气浮方式等对气浮表现活化能的影响．     

改进310奥氏体不锈钢长期时效后的组织与性能

借助扫描电子显微镜、透射电子显微镜以及高温、室温拉伸和硬度测试研究了实验室研发的改进310奥氏体不锈钢在700℃长期时效后的组织与性能.700℃时效1000 h后,实验钢在晶界和晶内析出了大量(Cr,Fe,Mo)23C6、(Cr,Fe)23C6、σ相和少量的χ相.析出相对实验钢的室温力学性能有明显的强化作用.强度增加,硬度升高20 Hv,同时延伸率仍保持在30%以上.高温下,析出强化效应减弱,延伸率轻微下降.通过断口表面和剖面观察发现,时效1000 h后,实验钢的高温拉伸断口为韧性断裂,未观察到裂纹和孔洞;而室温拉伸断口为脆性断裂,断口附近则观察到σ相中出现裂纹和孔洞.从σ相的脆-韧转变和实验钢基体的室温和高温强度的不同,讨论了在室温拉伸过程中产生裂纹和孔洞的原因,以及时效对室温和高温力学行为的不同影响.     

基于决策树和BN的自动驾驶车辆行为决策方法

交通环境中存在着众多影响自动驾驶车辆行为决策安全的不确定性因素, 准确并及时地处理不确定性因素对自动驾驶车辆安全至关重要。因此, 建立了以人工驾驶行为分类为基础的贝叶斯网络(Bayesian network, BN)行为决策模型。利用决策树分类算法对人工驾驶行为进行分类, 利用BN建模驾驶环境并生成最优驾驶动作, 此方法既可以及时地分析人类驾驶员行为类别, 又能够充分考虑驾驶场景中的不确定性因素。利用仿真工具PreScan设计仿真实验, 仿真结果表明行为决策模型能够给出安全、合理的自动驾驶车辆行为。     

Effect of Zr addition on the stability of precipitated Laves phase and mechanical properties of Fe–Cr–Al-based alloys at high temperatures

The effect of a small amount of Zr addition on the temperature-dependent stability of Laves phase particles and mechanical properties of Fe-13.5Cr-4.73Al-2.07Mo-(0.34–0.5)Nb-(0.65–0.98)Ta-(0–0.33)Zr (wt. %) ferritic alloys was investigated in the present study. The designed alloy ingots were hot-rolled, aged at 1073 ?K for 24 ?h, and then re-treated at 1273 ?K, 1323 ?K, 1373 ?K, and 1473 ?K for 1 ?h, respectively. It was found that the Zr addition could not only stabilize the Fe₂M Laves phase (M ?= ?Mo,Nb,Ta,Zr) to a much higher temperature, but also induce the formation of stable Fe₂₃Zr₆ phase. The high-temperature (HT) microstructural stability of the alloys significantly was improved, as evidenced by the fact that a certain amount (0.66–1.19%) of precipitates (Fe₂M, Fe₂₃Zr₆, and core(Fe₂₃Zr₆)-shell(Fe₂M)-structured particles) with an appropriate size (～1.0 ?μm) uniformly distributed in the ferritic matrix even after being re-treated at 1473 ?K. Particularly, the formation of core-shell-structured particles at HTs was studied from the viewpoint of both solid solubility and diffusion coefficient of M in the matrix. All these aged alloys exhibited prominent mechanical properties at both room and elevated temperatures, showing high yield strength with σ_YS ?= ?490–560 ?MPa at room-temperature and σ_YS ?= ?80–85 ?MPa at 1073 ?K. The strengthening effect was further discussed in light of various strengthening mechanisms, and the calculated strength are in good agreement with the experimental results.     

低碳微量铌钢过冷奥氏体形变过程中的碳氮化物析出

利用透射电镜研究了低碳微量铌钢过冷奥氏体形变过程中的碳氮化物析出,运用Gladman晶粒粗化机制讨论了析出相颗粒的平均直径、体积分数和铁素体晶粒尺寸的关系.实验结果表明:实验用钢中的微量Nb在1 200℃时完全固溶,并在760℃变形前的冷却过程中无Nb(CN)析出.在形变过程中Nb(CN)的析出同样需要孕育期,但与等温过程相比大大提前.当变形量积累到一定值(本实验条件下ε=0.69)时,大量动态析出的Nb(CN)颗粒弥散分布在晶界以及位错线上.Nb(CN)析出随着应变量的增加而增加,但颗粒长大不明显,计算得到的铁素体晶粒平均截径与实际测得的铁素体晶粒吻合得较好.     

施主态氧沉淀的微观分布

本文利用扩展电阻研究了低温退火及低-高温二步退火后P-CZ硅中新施主的微观分布。指出在新施主的氧沉淀界面模型下,通过扩展电阻法测量新施主的分布提供了确定氧的微小沉淀的一个灵敏的方法,其灵敏度取决于原始电阻率,新施主的分布可以通过讨论氧沉淀的分布,氧沉淀动力学过程以及晶体生长的液流模型得到解释。     

调质低碳贝氏体钢的组织和性能

研究了C--Mn--Mo--Cu--Nb--Ti--B系低碳微合金钢915℃淬火和490～640℃回火的调质工艺对钢的组织及力学性能的影响.用扫描电镜和透射电镜对实验钢的组织、析出物形态和分布以及断口形貌进行观察,采用X射线衍射仪分析钢中残余奥氏体的体积分数.结果表明:调质后,实验钢获得贝氏体、少量马氏体及残余奥氏体复相组织,贝氏体板条宽度只有250 nm,残余奥氏体的体积分数随着回火温度的升高而降低,经淬火与520℃回火后残余奥氏体的体积分数为2.1%.调质后析出物的数量激增,6～15 nm的析出物占70%以上.实验钢经过915℃淬火与520℃回火后,其屈服强度达到915 MPa,抗拉强度990 MPa,-40℃冲击功为95 J.细小的析出物及窄的板条提高了钢的强度.板条间有残余奥氏体存在,改善了实验钢的韧性.     

线性过程的大数定律与中心极限定理

设{Xt}是一个线性过程Xt=∑∞j=0cjεt-j,其中{cj}是常数列,{εi,Fi}是一个适应的鞅差序列,∑∞j=0cj2Eε2t-j<∞,t=1,2,….本文利用线性过程的Beveridge-Nelson分解,得到了一类线性过程的大数定律和中心极限定理,推广和改进了Philips和Solo文中的相应结果.     

σ相对S32760超级双相不锈钢组织和性能的影响

通过对含W的S32760超级双相不锈钢不同温度时效热处理研究σ相的析出行为.用扫描电镜和透射电镜分析σ相的形貌和化学组成,并研究σ相对力学性能和耐腐蚀性能的影响.在850~1000℃之间,实验钢析出大量由Fe-Cr-Mo-W组成的具有正方结构的σ相,钢板强度和硬度高,塑性差,延伸率低于4%;1050℃时仍存在少量析出,虽然延伸率大幅度提高至31.1%,但冲击韧性离散度高,冲击功偏低;直至1080℃,σ相才能完全溶解至基体中,抗拉强度为640 MPa,延伸率为35.5%,纵、横向冲击功平均值分别达到217 J和110 J.随时效热处理温度升高,点蚀电位提高,点蚀失重率不断下降,1080℃热处理的试样点蚀电位高达1246 mV.该试样在50℃的3.5% NaCl溶液中腐蚀失重率也仅为0.005~0.007 g·m-2·h-1.     

Nanoscale precipitates and comprehensive strengthening mechanism in AISI H13 steel

The effects of heat treatment on the precipitates and strengthening mechanism in AISI H13 steel were investigated. The results showed that the presence of nanoscale precipitates favorably affected grain refinement and improved the yield strength. The volume fraction of precipitates increased from 1.05% to 2.85% during tempering, whereas the average precipitate size first decreased then increased during tempering. Contributions to the yield strength arising from the various mechanisms were calculated quantificationally, and the results demonstrated that grain refinement and dislocation density most strongly influenced the yield strength. In addition, under the interaction of average size and volume fraction, precipitates’ contribution to the yield strength ranged from 247.9 to 378.5 MPa. Finally, a root-mean-square summation law of σ = σ_g + σ_s + (σ_d2 + σ_p2)1/2, where σ_g, σ_s, σ_d, and σ_p represent the contributions of fine-grain strengthening, solid-solution strengthening, dislocation strengthening, and precipitation strengthening, respectively, was confirmed as the most applicable for AISI H13 steel, which indicates a strong link between precipitates and dislocations in AISI H13 steel.