加网混合料疲劳特性的研究

为了探讨路面结构层中加入纤维格栅后的疲劳特性，就ＡＣ１３Ｉ型的细粒式沥青混合料加网与不加网２种情况进行了疲劳对比试验，分析了试验结果，得出了加网与不加网混合料的疲劳方程以及加网后同等应力水平下混合料疲劳寿命提高６倍的结论．

装配式钢结构住宅上悬下铰式定型张料防护网施工技术

随着建筑行业的不断发展,装配式钢结构建筑得到飞速的发展,全国各地掀起装配式建筑热潮。在施工过程中,大量装配式建筑施工方法取代了传统建筑施工工艺。论文结合装配式钢结构住宅建筑,介绍了一种用于装配式钢结构建筑主体阶段安全防护系统的上悬下铰式定型张料防护网施工技术,详细描述该技术的技术要点,防护网的制作安装方法,为今后装配式钢结构建筑中主体阶段立面安全平网防护体系提供参考。

平板膜组件中隔网构型的CFD模拟

在由卷式膜组件简化成的平板膜组件的隔网流道中,利用计算流体动力学(CFD)方法对流道中纤维丝的排布方式进行二维模拟。考察了3种排布方式(同边,交错,中心)下,流体的速度分布以及对于壁面的剪应力分布.结果表明,交错排列的方式效果最佳.当提升流体流速时,纤维丝背后产生的逆流区域范围逐步增大,但存在一定的上限值.通过自行搭建的平板膜组件测试装置,考察了纤维丝不同排布方式下的Re和摩擦因子f的关系曲线,与CFD模拟得到的结果比较吻合良好,证明了模型的准确性.

丝网印刷在厚膜IC中的应用及其常见质量问题的解决方法

丝网印刷与厚膜IC技术是微电子技术的核心技术之一。IC技术是指以半导体晶体材料为基础,采用专门工艺技术组成微小型电路或系统。本文分别叙述了厚膜IC对网版、厚膜IC对浆料、厚膜IC对印刷技术等丝网印刷要素的要求,以厚膜电阻为例介绍膜层制作工艺。并且从生产的角度讨论了厚膜混合集成电路因生产工艺或操作不当出现的常见质量问题,提出相应的解决方法。

Nontoxic Marine Anti-fouling Coating Containing Capsaicin

This paper summarizes a nontoxic Anti-fouling coating utilizing capsaicin as an anti-fouling agent. The capsaicin constituent used in the coating has a rating from about 100 000 to about 1 500 000 Scoville Heat Units. The capsaicin is mixed with a silicon dioxide and then solubilized into a free-flowing homogeneous liquid oleoresin composition by adding a solvent to increase solubility and facilitate mixing. The oleoresin capsaicin liquid solution is mixed with a suitable corrosion resistant epoxy resin, which is then mixed with a hardening catalyst and applied to the surface to be treated.

平板膜组件内部流体流动状态的可视化

自行设计了透明的有机玻璃膜组件,用于直接观测组件内部流体流动状态。分别测定了空流道和含有料液隔网流道的压力损失,并根据摩擦因子f随Re值的变化曲线确定了临界Reynolds数(Rec)的范围。结果表明,含有料液隔网流道的Rec相比空流道大大减小。利用注射颜料的方法对流体流动情况进行观测,验证了上述结果。随后测定了表面粗糙度、隔网排布形式、孔隙率对流体流动情况的影响。最后,自制小型卷式膜进行测试,结果与平板膜的压力损失情况相符,表明平板膜的实验结果可以用于预测卷式膜的行为。

Holographic alloy positioning design system and holographic network phase diagrams of Au-Cu system

Taking Au?Cu system as an example, three discoveries and two methods were presented. First, a new way for boosting sustainable progress of systematic metal materials science (SMMS) and alloy gene engineering (AGE) is to establish holographic alloy positioning design (HAPD) system, of which the base consists of measurement and calculation center, SMMS center, AGE center, HAPD information center and HAPD cybernation center; Second, the resonance activating-sychro alternating mechanism of atom movement may be divided into the located and oriented diffuse modes; Third, the equilibrium and subequilibrium holographic network phase diagrams are blueprints and operable platform for researchers to discover, design, manufacture and deploy advanced alloys, which are obtained respectively by the equilibrium lever numerical method and cross point numerical method of isothermal Gibbs energy curves. As clicking each network point, the holographic information of three structure levels for the designed alloy may be readily obtained: the phase constitution and fraction, phase arranging structure and properties of organization; the composition, alloy gene arranging structure and properties of each phase and the electronic structures and properties of alloy genes. It will create a new era for network designing advanced alloys.

DEPTH PREDICTION OF RAIN WATER ON ROAD SURFACE BASED ON ARTIFICIAL NEURAL NETWORK

A model based on the non-linear artificial neural network （ANN） is established to predict the thickness of the water film on road surfaces. The weight and the threshold can be determined by training test data, and the water film thickness on the road surface can be accurately predicted by the empirical verification based on sample data. Results show that the proposed ANN model is feasible to predict the water film thickness of the road surface.

Alloy gene Gibbs energy partition function and equilibrium holographic network phase diagrams of AuCu_3-type sublattice system

Taking AuCu3-type sublattice system as an example, three discoveries have been presented: First, the third barrier hindering the progress in metal materials science is that researchers have got used to recognizing experimental phenomena of alloy phase transitions during extremely slow variation in temperature by equilibrium thinking mode and then taking erroneous knowledge of experimental phenomena as selected information for establishing Gibbs energy function and so-called equilibrium phase diagram. Second, the equilibrium holographic network phase diagrams of AuCu3-type sublattice system may be used to describe systematic correlativity of the composition?temperature-dependent alloy gene arranging structures and complete thermodynamic properties, and to be a standard for studying experimental subequilibrium order-disorder transition. Third, the equilibrium transition of each alloy is a homogeneous single-phase rather than a heterogeneous two-phase, and there exists a single-phase boundary curve without two-phase region of the ordered and disordered phases; the composition and temperature of the top point on the phase-boundary curve are far away from the ones of the critical point of the AuCu3 compound.

Alloy gene Gibbs energy partition function and equilibrium holographic network phase diagrams of Au_3Cu-type sublattice system

Taking Au3Cu-type sublattice system as an example, three discoveries have been presented. First, the fourth barrier to hinder the progress of metal materials science is that today’s researchers do not understand that the Gibbs energy function of an alloy phase should be derived from Gibbs energy partition function constructed of alloy gene sequence and their Gibbs energy sequence. Second, the six rules for establishing alloy gene Gibbs energy partition function have been discovered, and it has been specially proved that the probabilities of structure units occupied at the Gibbs energy levels in the degeneracy factor for calculating configuration entropy should be degenerated as ones of component atoms occupied at the lattice points. Third, the main characteristics unexpected by today’s researchers are as follows. There exists a single-phase boundary curve without two-phase region coexisting by the ordered and disordered phases. The composition and temperature of the top point on the phase-boundary curve are far away from those of the critical point of the Au3Cu compound; At 0 K, the composition of the lowest point on the composition-dependent Gibbs energy curve is notably deviated from that of the Au3Cu compounds. The theoretical limit composition range of long range ordered Au3Cu-type alloys is determined by the first jumping order degree.

Using particle swarm optimization algorithm in an artificial neural network to forecast the strength of paste filling material

In order to forecast the strength of filling material exactly, the main factors affecting the strength of filling material are analyzed. The model of predicting the strength of filling material was established by applying the theory of artificial neural net- works. Based on cases related to our test data of filling material, the predicted results of the model and measured values are com- pared and analyzed. The results show that the model is feasible and scientifically justified to predict the strength of filling material, which provides a new method for forecasting the strength of filling material for paste filling in coal mines.

Monte Carlo Simulation for the Adsorption of Symmetric Triblock Copolymers

The adsorption behavior of symmetric triblock copolymers, Am/2BnAm/2, from a nonselective solvent at solid-liquid interface has been studied by Monte Carlo simulations on a simple lattice model. Either segment A or segment B is attractive, while the other is non-attractive to the surface. Influences of the adsorption energy, bulk concentration, chain composition and chain length on the microstructure of adsorbed layers are presented. The results show that the total surface coverage and the adsorption amount increases monotonically as the bulk concentration increases. The larger the adsorption energy and the higher the fraction of adsorbing segments, the higher the total surface coverage is exhibited. The product of surface coverage and the proportion of non-attractive segments are nearly independent of the chain length, and the logarithm of the adsorption amount is a linear function of the reciprocal of the reduced temperature. When the adsorption energy is larger, the adsorption amount exhibits a maximum as the fraction of adsorbing segment increases. The adsorption isotherms of copolymers with different length of non-attractive segments can be mapped onto a single curve under given adsorption energy. The adsorption layer thickness decreases as the adsorption energy and the fraction of adsorbing segments increases, but it increases as the length of non-attractive segments increases. The tails mainly govern the adsorption layer thickness.

Students＇ Perception Towards the Use of Internet as Learning Media to Promote Reading Comprehension Skill

This study analyses student＇s perception toward the use of lnternet to improve reading comprehension. This study aims： （1） to describe the students＇ perception of the use of Interact as teaching media in learning reading comprehension; （2） to depict the students＇ perception of the importance oflnternet to access information; and （3） to explain the students＇ frequency to access Internet. This study uses the descriptive method to reveal the research problems. A questionnaire is used to collect the data. It consists of 20 questions with five options to reveal the students＇ perception of the use of Internet. The questionnaire is distributed to 120 students who took reading subject at the University of Muhammadiyah Malang. The study shows that （1） The students＇ perception toward the use of Internet to improve Reading Comprehension subject is positive; （2） According to the students, the use of Internet to access reading materials is very important; and （3） The students frequently access Internet to find the reading materials.

A scalable model for network situational awareness based on Endsley＇ s situation model

The paper introduces the Endsley＇ s situation model into network security to describe the network security situation, and improves Endsley＇s data processing to suit network alerts. The proposed model contains the information of incident frequency, incident time and incident space. The HoneyNet dataset is selected to evaluate the proposed model in the evaluation. The paper proposes three definitions to depict and predigest the whole situation extraction in detail, and a fusion component to reduce the influence of alert redundancy on the total security situation. The less complex extraction makes the situation analysis more efficient, and the fine-grained model makes the analysis have a better expansibility. Finally, the situational variation curves are simulated, and the evaluation results prove the situation model applicable and efficient.

On the Multi-media Assisted Interpreting Teaching Strategies

This paper discusses the strengths of using the intemet and building corpus in interpretation teaching. The authors propose multi-media assisted interpretation teaching strategies such as building a small -sized controlled internal interpretation corpus, encouraging students to search information via the internet, and conducting teacher-student, student-student communication at all levels via E-mall, BBS, skype-in-English, audio/video conference and etc.

Dynamic Crack Propagation Analysis Using Scaled Boundary Finite Element Method

The prediction of dynamic crack propagation in brittle materials is still an important issue in many engineering fields. The remeshing technique based on scaled boundary finite element method(SBFEM) is extended to predict the dynamic crack propagation in brittle materials. The structure is firstly divided into a number of superelements, only the boundaries of which need to be discretized with line elements. In the SBFEM formulation, the stiffness and mass matrices of the super-elements can be coupled seamlessly with standard finite elements, thus the advantages of versatility and flexibility of the FEM are well maintained. The transient response of the structure can be calculated directly in the time domain using a standard time-integration scheme. Then the dynamic stress intensity factor(DSIF) during crack propagation can be solved analytically due to the semi-analytical nature of SBFEM. Only the fine mesh discretization for the crack-tip super-element is needed to ensure the required accuracy for the determination of stress intensity factor(SIF). According to the predicted crack-tip position, a simple remeshing algorithm with the minimum mesh changes is suggested to simulate the dynamic crack propagation. Numerical examples indicate that the proposed method can be effectively used to deal with the dynamic crack propagation in a finite sized rectangular plate including a central crack. Comparison is made with the results available in the literature, which shows good agreement between each other.

Reactor Network Synthesis for Waste Reduction Using Instantaneous Value of Environmental Index

Waste reduction is gaining importance as the preferred means of pollution prevention. Reactor network synthesis is one of the key parts of chemical process synthesis. In this study, a geometric approach to reactor network synthesis for waste reduction is presented. The bases of the approach are potential environment impact （PEI） rate-law expression, PEI balance and the instantaneous value of environmental indexes. The instantaneous value can be derived using the PEI balance, PEI rate-law expression and the environmental indexes. The optimal reactor networks with the minimum generation of potential environment impact are geometrically derived by comparing with areas of the corresponding regions. From the case study involving complex reactions, the approach does not involve solving the complicated mathematical problem and can avoid the dimension limitation in the attainable region approach.

Enhanced Field Emission from Printed Carbon Nanotubes by Hard Hairbrush

A method, the morphology of screen printed carbon nanotube pastes is modified using a hard hairbrush, is presented. In this way, the organic matrix material is preferentially removed. Compared to those untreated films, the turn-on electric field of the treated film decreases from 2.2V/μm to 1.6V/μm, while the total emission current of the treated increases from 0.6mA/cm2 to 3mA/cm2, and uniform emission site density image has also been observed.

Nonlinear modeling of molten carbonate fuel cell stack and FGA-based fuzzy control

To improve the performance of fuel cells, the operating temperature of molten carbonate fuel cell (MCFC) stack should be controlled within a specified range. In this paper, with the RBF neural network’s ability of identifying complex nonlinear systems, a neural network identification model of MCFC stack is developed based on the sampled input-output data. Also, a novel online fuzzy control procedure for the temperature of MCFC stack is developed based on the fuzzy genetic algorithm (FGA). Parameters and rules of the fuzzy controller are optimized. With the neural network identification model, simulation of MCFC stack control is carried out. Validity of the model and the superior performance of the fuzzy controller are demonstrated.