Experimental and mathematical studies of natural convection for solid-salt dissolution in water

The phenomena of natural convection caused by a concentration gradient usually creates currents as a result of buoyancy forces. These forces are formed from the combined effect of a fluid density gradient and the body force (gravitational force). The above phenomenon was studied experimentally in a circular glass column of 0.08 m diameter and 1 m length. This column was erected vertically and filled with distilled water with a salt bag placed on top of it and partially immersed in water. The dissolution mechanism was then modelled and a finite difference method was used to solve the formulated equations by using the implicit scheme of MacCormack (Anderson et al., 1984). The experimental results and the numerical predictions are represented graphically and give compatible agreement.     

YAG光学功能陶瓷材料

对日本研制的ＹＡＧ光学功能陶瓷的制备工、性能作了较详细的介绍。与过去的ＹＡＧ单晶陶瓷作了对比，并对其发展及应用前景进行了分析。     

冲击过载指示器性能试验研究

冲击过载批示器用于现代高技术兵器包装，可提高兵器使用可靠性，便于失效模式分析，提高兵器战是保障能力，具有重要的军事意义。根据六种不同结构原理的冲击过载指示器的振动、跌落试验，评价精度、可靠性、使用寿命、有效使用频率范围以及对振动的响应，得出冲击过载指示器的冲击响应加速度一时间特性曲线，为筛选可靠的指示器，自行研制性能稳定，精度可靠的军用冲击过载指示器提供试验评价依据。     

离散动态系统及其应用（Ⅲ）─市场价格模型的数学分析

本文应用动力系统的定性分析方法，对离散市场价格模型作出全局分析，给出了关于离散市场价格系统的稳定性和分支结构的若干定理及其经济意义．     

被动锁模复合环形腔掺饵光纤激光器的自启动分析

本文对被动锁模复合环形腔掺饵光纤激光器的自启动工作特性进行了分析，指出谐振腔内残余反射面的存在是阻碍激光器实现自启动锁模的主要原因。利用半导体激光器有源区的折射率随注入电流的变化而改变的特性，在谐振腔中获得了一个可移动腔镜，克服了腔内残余反射面的影响，实现了锁模的自启动。     

人工智能方法用于熔喷过程在线检测的研究

熔喷生产最终产品质量的控制，对于过程优化具有重要的意义。产品质量的在线检测是过程监测与质量控制必不可少的。本文首次在熔喷系统中引入人工智能的研究方法，对熔喷非织造布的厚度与纤维直径进行在线预测。实测数据与人工神经网络的预测结果吻合较好，从而证实了人工神经网络用于模拟熔喷过程的可行性。网络的输入包括：挤出机温度、喷头温度、熔融体挤出速率、空气流率及接收距离。神经元计算的输出是纤维直径与熔喷非织布的厚度。文中进一步提出了将神经网络与专家系统相结合的研究路线，以实现熔喷过程的优化控制。     

红外光控器在蜜丸包装机上的应用

中药大蜜丸及所用包装材料软、粘、轻、小、光,较难实现机械化自动包装。通常的监控方法不适合蜜丸的自动包装。采用红外线光电控制器,解决了自动包装蜜丸时出现的瞬间无纸、无丸等自动控制。     

Surface Position-Resolved Thermophysical Properties for Metallic Alloys

Thermophysical properties are collective measures of a material to transport dynamical quantities of physical nature on its surface or through the bulk. As such, the exact nature of couplings between particles in a many-body assembly of building block atoms or molecules sensitively determines their values. The couplings between nearest neighbors are the product of the local elemental composition and the material phase. In this study, thermal cycling of a four-element Wood’s alloy specimen brings out cadmium-rich patches to the top surface of the specimen. An assembly of such patches leads to depth-dependent deviations of elemental composition from that of the bulk. Surface-layer atoms are driven to form a high temperature laser-produced plasma (LPP), and time-resolved spectroscopy of their emissions show the variability of elemental composition over surface positions as well as over depth from the surface. These thermal history-driven composition anomalies contribute to significant variability in the measured values of spectral emissivity and thermal diffusivity.     

掺杂聚苯胺的表面接枝共聚改性

化学氧化法制备的聚苯胺表面的亲水性差，本文在本征态和不同酸掺杂志聚苯胺的表面上接枝共聚丙烯丙烯酸和丙烯酰胺，明显地改善了聚苯胺的表面亲水性。结果显示，聚苯胺表面经过等离子体处理后，有利于丙烯酸和丙烯酰胺在聚苯胺表面上的接枝共聚，随着接枝量增多，导电率则随之有所下降，此外，利用ＳＥＭ和反射ＩＲ表征了改性反聚苯胺表面的形态和结构。     

Forecasting of Turkey's net electricity energy consumption on sectoral bases

In this study forecast of Turkey's net electricity energy consumption on sectoral basis until 2020 is explored. Artificial neural networks (ANN) is preferred as forecasting tool. The reasons behind choosing ANN are the ability of ANN to forecast future values of more than one variable at the same time and to model the nonlinear relation in the data structure. Founded forecast results by ANN are compared with official forecasts.