泡沫铝合金镀镍工艺研究

本文研究了在高硅铸铝制备的泡沫铝合金样品上镀镍工艺,提出了一种确定泡沫铝合金表面积的方法。讨论了主盐、还原剂、络合剂、缓冲剂等配方主要成份和ｐＨ 值、温度等工艺条件对化学镀镍的沉积速度和镀层质量的影响,优化了前处理方法,从而得到了适合于泡沫铝合金的镀镍工艺。     

Mesh-dependence of Material with Softening Behavior

The issue of mesh-dependence emerges when the conventional continuum damage model is applied to handling the softening behavior. In order to circumvent the mesh-dependence, the non-local theory is introduced into the conventional damage model and the finite element formulas are derived for two-dimensional gradient-enhanced damage model. A new element is proposed in which the basic unknown quantities are displacement, non-local equivalent strain and the gradient of non-local equivalent strain. The element and constitutive equation proposed in this article are added to the finite element software ABAQUS through user subroutine UEL. Numerical results show that the gradient-enhanced damage model can eliminate the mesh-dependence and is effective for dealing with the issue of softening behavior.     

DELMIA在某民机前货舱门装配仿真中的应用

在现代自动化作业系统中,操作和管理的大多是一些复杂系统和各种数字化设备,这对操作人员观察周围环境和完成精准操作任务的要求很高。通过人机工程技术分析,可以对这些复杂、易错的任务逐个分析,合理分配注意力、安排操作顺序,既减轻操作人员的工作负荷又避免出错,切实提高人机工效。     

模具工业发展中的几个问题

叙述了对模具工业地位与作用的认识 ,分析了我国加入世贸组织对模具工业的影响 ,并提出了发展模具工业的政策措施建议。     

Comparison of decision tree methods for finding active objects

The automated classification of objects from large catalogs or survey projects is an important task in many astronomical surveys. Faced with various classification algorithms, astronomers should select the method according to their requirements. Here we describe several kinds of decision trees for finding active objects by multi-wavelength data, such as REPTree, Random Tree, Decision Stump, Random Forest, J48, NBTree, AdTree. All decision tree approaches investigated are in the WEKA package. The classification performance of the methods is presented. In the process of classification by decision tree methods, the classification rules are easily obtained, moreover these rules are clear and easy to understand for astronomers. As a result, astronomers are inclined to prefer and apply them, thus know which attributes are important to discriminate celestial objects. The experimental results show that when various decision trees are applied in discriminating active objects (quasars, BL Lac objects and active galaxies) from non-active objects (stars and galaxies), ADTree is the best only in terms of accuracy, Decision Stump is the best only considering speed, J48 is the optimal choice considering both accuracy and speed.     

Aeroelastic two-level optimization for preliminary design of wing structures considering robust constraints

An aeroelastic two-level optimization methodology for preliminary design of wing struc- tures is presented, in which the parameters for structural layout and sizes are taken as design vari- ables in the first-level optimization, and robust constraints in conjunction with conventional aeroelastic constraints are considered in the second-level optimization. A low-order panel method is used for aerodynamic analysis in the first-level optimization, and a high-order panel method is employed in the second-level optimization. It is concluded that the design of the abovementioned structural parameters of a wing can be improved using the present method with high efficiency. An improvement is seen in aeroelastic performance of the wing obtained with the present method when compared to the initial wing. Since these optimized structures are obtained after consideration of aerodynamic and structural uncertainties, they are well suited to encounter these uncertainties when they occur in reality.     

变体平尾翼型气动外形设计方法

为了使飞机在控制飞行姿态时仍然能保持最优升阻比,提出了一种通过改变翼型形状来代替传统控制舵面来控制飞机俯仰的方法。采用伯恩斯坦多项式对机翼的翼型进行数学建模,并采用遗传算法通过空气动力学仿真对翼型进行优化得到一组在一定飞行环境下、产生附加阻力最小且随升力系数变化的翼型形状。通过对比证明在提供相同升力的情况下,变体翼比传统的控制舵面产生更小的附加阻力。根据翼型形状和升力系数的变化采用数据拟合的方法得到翼型形状控制参数随升力变化的规律。通过算例对变化规律的验证表明其可以用来作为飞行姿态控制的翼型形状变化依据。     

正电子素络合形成研究(Ⅱ)

本文讨论了不同测量条件对正电子素络合反应速度常数测定值的影响。实验结果表明,在稀溶液的条件下,使用我们特殊设计的盛装溶液的匣式容器能大大提高放射源的使用率并能完全避免放射性废水。     

Solar activity prediction studies and services in NAOC

Solar activity prediction services started in 1960’s in National Astronomical Observatories, Chinese Academy of Sciences (NAOC). As one of the members of the International Space Environment Service (ISES), Regional Warning Center of China (RWC-China) was set up in 1990’s. Solar Activity Prediction Center (SAPC), as one of the four sub-centers of RWC-China, is located in NAOC. Solar activity prediction studies and services in NAOC cover short-term, medium-term, and long-term forecast of solar activities. Nowadays, certain prediction models, such as solar X-ray flare model, solar proton event model, solar 10 cm radio flux model, have been established for the practical prediction services. Recently, more and more physical analyses are introduced in the studies of solar activity prediction, such as the magnetic properties of solar active regions and magnetic structure of solar atmosphere. Besides traditional statistics algorithms, Machine Learning and Artificial Intelligence techniques, such as Support Vector Machine (SVM) method, are employed in the establishment of forecast models. A Web-based integrated platform for solar activity data sharing and forecast distribution is under construction.