电子散射的受激原子态取向的趋向性规则

原子碰撞中的取向参数的研究为原子碰撞动力学、受激原子态结构提供了丰富的信息。本介绍近年来电子与原子碰撞受激原子态取向的特征，其中包括电子与轻原子低能小角度散射下取向的趋向性规则；自旋依赖的取向特点；重原子散射下的取向特点，就重原子散射下取向的趋向性规则的破坏做了简要的分析和讨论。     

继电器动态过程中动态参数的测试方法

本文介绍了一种测试继电器在动态过程中动态参数测试的方法。采用此方法能直接测量和观察继电器动态过程中的线圈电压、电流 ,同时可测出继电器的动作时间 ,还可了解其接点在接触过程是否有振动现象存在。所以 ,此方法是一种多用途的继电器动态参数测量方法     

“问题解决法”在高中物理教学实践中应用探讨

顾名思义,“问题解决法”应用到高中物理教学实践之中,就意味着坚持以有效的物理问题和情境为教学的中心,师生一起合作,由学生自主探究习得物理概念,在对物理问题的探究过程中,延伸、发展学生的知识和能力,笔者从事高中物理教学多年,现结合教学实践谈几点自己的想法,望能有助于教学.     

从熵、信息熵到自组织

 为了在一定条件下确定一个热力学过程进行的方向,1864年法国物理学家克劳修斯在《热之唯动说》一书中,首次提出一个物理量和新的态函数---熵。他发现:如果一个物体的绝对温度为T,给该物体加热ΔQ,该物体增加的熵为ΔS=ΔQ/T。ΔS表示吸进热量之后,物体的熵S2与吸进热量之前的熵S1之差,或表示成ΔS=S2-S1。如用积分表示,则有S2-S1=∫xx0dQT。同样,如从该物体取出热量ΔQ,则该物体的熵就减少ΔS。     

基于非齐次复合Poisson过程的正交异性钢桥面板细节疲劳裂纹随机扩展研究

传统的正交异性钢桥面板疲劳损伤评估常采用确定性和可靠性分析方法,忽略了疲劳裂纹扩展的随机性影响,针对这一问题,提出钢桥面板细节疲劳随机扩展分析方法。本文以南溪长江大桥为工程背景,基于长期车辆荷载监测数据,建立了车辆荷载非齐次复合Poisson过程模型。建立钢桥面板有限元模型,采用瞬态分析方法将随机车辆荷载转化成细节疲劳应力,基于线弹性断裂力学理论推导U肋-顶板焊接细节疲劳裂纹扩展时变微分方程,实现宏观关系式疲劳应力幅次数-疲劳损伤至微观表达式应力时间序列-疲劳损伤转换,讨论了车载次序及超载对疲劳裂纹扩展的影响。研究结果表明,非齐次复合泊松过程模型能够较好描述随机车流运营状态,车辆荷载的次序对疲劳裂纹扩展速率的影响不可忽略,重车排序靠前时能够促使疲劳裂纹扩展增速,南溪长江大桥细节点的车辆超载迟滞效应修正系数取值0.804。     

辐射在CH泡沫中传输的数值模拟

利用一维多群辐射输运程序对辐射在CH泡沫中的传输过程进行了数值模拟,给出一些细致的物理图像和定量结果。在一定的入射辐射流条件下,密度变化对辐射传输特征、辐射加热介质的热力学平衡弛豫过程有重要影响。随着密度下降,辐射由亚声速传输转变为超声速传输,辐射在传输过程中的能谱形状也不同。     

Tb$lt;sub$gt;0.3$lt;/sub$gt;Dy$lt;sub$gt;0.6$lt;/sub$gt;Pr$lt;sub$gt;0.1$lt;/sub$gt;(Fe$lt;sub$gt;1-$lt;i$gt;x$lt;/i$gt;$lt;/sub$gt;Al$lt;sub$gt;$lt;i$gt;x$lt;/i$gt;$lt;/sub$gt;)$lt;sub$gt;1.95$lt;/sub$gt;合金的磁性、磁致伸缩和穆斯堡尔谱研究

系统研究了室温下Tb_0.3Dy_0.6Pr_0.1（Fe_1-xAl_x）_1.95 （x=0.05,0.1,0.15,0.2,0.25,0.3）合金中元素Al替代Fe对结构、磁性、磁致伸缩性能和自旋重取向的影响.测量结果发现,x<0.2时Tb_0.3Dy_0.6Pr_0.1（Fe_1-xAl_x）_1.95合金基本上是纯的单相,x=0.2时出现其他杂相,杂相随Al替代量的增加不断增多.随Al替代量x的增加,点阵常数a接近于线性增大,Curie温度T_C逐渐下降,而矫顽力H_c急剧下降.振动样品磁强计（VSM）测量发现,磁化强度M随Al替代量x的变化较为复杂.VSM计和磁致伸缩效应测量共同表明,少量Al的替代有利于降低磁晶各向异性,而且随着Al替代量x的增多磁致伸缩系数快速减小,x>0.15时巨磁致伸缩效应消失.穆斯堡尔效应研究发现,随Al含量的增加Tb_0.3Dy_0.6Pr_0.1（Fe_1-xAl_x）_1.95合金中易磁化轴可能在{110}面逐渐偏离了立方晶体的主对称轴,发生自旋重取向,从而引起合金宏观磁性、磁致伸缩性能的变化. 关键词： 磁致伸缩 立方Laves相 自旋重取向 穆斯堡尔谱     

Advanced control and modeling of deposition processes

During the last decade, striking improvements could be achieved for the precise control of deposition processes in optical coating technology. For example, as a consequence of enormous progresses in measure- ment and computer technology, direct optical monitoring in a broad spectral range can be considered as a common tool in many production environments nowadays. Besides the development of the corresponding hardware and measurement channels, advanced approaches for the evaluation of the acquired data and new multiple sensor monitoring strategies moved into the focus of modern research on the way towards de- terministic deposition techniques. In this context, also innovative concepts for the simulation of deposition processes to forecast the result for a specified coating design and automatic online correction algorithms gained of importance to reduce the risk of failure in coating production. The present contribution will be dedicated to selected aspects in this field, especially addressing broad band optical monitoring systems. A short review on examples for existing hardware configurations and software tools will be presented illus- trating the advantages of modern process control techniques. Novel approaches based on the modeling of thin film growth are discussed as an additional strategy to improve the predictability of coating processes.     

Densification and lithium ion conductivity of garnet-type Li7-xLa3Zr2-xTaxO12 （x=0.25） solid electrolytes

The garnet-type Li7La3Zr2O12 ceramic is a promising solid electrolyte for all-solid-state secondary lithium batteries. However, it faces the problem of lithium volatilization during sintering, which may cause low density and deterioration of ionic conductivity. In this work, the effects of sintering temperature and addition on the density as well as the lithium ion conductivity of Li7-xLa3Zr2-xTaxO12 (LLZTO, x=0.25) ceramics prepared by solid state reaction have been studied. It is found that optimization of the sintering temperature leads to a minor increase in the ceramic density, yielding an optimum ionic conductivity of 2.9×10-4 S·cm-1 at 25℃. Introduction of Li 3 PO 4 addition in an appropriate concentration can obviously increase the density, leading to an optimum ionic conductivity of 7.2×10-4 S·cm-1 at 25℃. This value is superior to the conductivity data in most recent reports on the LLZTO ceramics.     

Effects of clouds, sea surface temperature, and its diurnal variation on precipitation efficiency

The effects of clouds, sea surface temperature, and its diurnal variation on precipitation efficiency are investigated using grid-scale data from nine equilibrium sensitivity cloud-resolving model experiments driven without large-scale vertical velocity. The precipitation efficiencies are respectively defined in surface rainfall, cloud, and rain microphysical budgets. We mathematically and physically demonstrate the relationship between these precipitation efficiencies. The 2℃ increases in spatiotemporal invariant sea surface temperature (SST) from 27℃ to 29℃ and from 29℃ to 31℃, and the inclusion of diurnal SST difference 1℃ and the 1℃ increase in diurnal SST difference generate opposite changes in the precipitation efficiency by changing ice cloud-radiation interactions. The radiative and microphysical processes of ice clouds have opposite effects on the precipitation efficiency because of the rainfall increase associated with the reduction in the saturation mixing ratio caused by the exclusion of radiative effects and the decrease in rainfall related to the reduction in net condensation caused by the exclusion of deposition processes. The radiative effects of water clouds on the precipitation efficiency are statistically insensitive to the radiative effects of ice clouds.