蔬菜汤粉的研制

介绍了蔬菜汤粉的形成、加工工艺、产品特点、调味机理、技术要求,从而为方便食品及调味品提供了一种全新的调味配料.     

等通道角挤压制备细晶ZK60镁合金的组织与力学性能

利用两种等通道角挤压(ECAP)方法(普通单步ECAP和两步ECAP)制备细晶ZK60合金。采用金相显微镜、扫描电镜、透射电镜和X射线衍射仪对合金的组织和织构进行观察,通过拉伸试验研究不同ECAP方法对合金力学性能的影响。结果表明:与单步ECAP变形相比,两步ECAP变形,由于降低了变形温度,晶粒细化效果更好;经过(240℃,4道次)+(180℃,4道次)两步ECAP变形后,合金晶粒细化至约0.8μm;合金的力学性能与材料的织构密切相关,由于存在织构软化效应,与挤压态相比,经单步ECAP变形后合金的强度有所降低,而伸长率明显提高;但经两步ECAP变形后,由于细晶强化和亚结构强化的作用,合金的强度得到提高。     

Development of Advanced Cement-Based Building Products

In this study, short fiber-reinforced cement-based building products of sheets, pipes and honeycomb panels incorporating various mineral admixtures such as slag, silica fume, and metakaolin have been developed by the extrusion technique. The experimental works have shown that these products do have very good mechanical properties. Since the key point for a successful extrusion is the properly designed rheology which controls both internal and external flow properties of ext rudate, a nonlinear viscoelastic model was applied to investigate the rheology behavior of a movable fresh cementitious composite in a single screw extruder channel. The theoretical analysis is used to guide the practical manufacturing.     

Thickness dependence of refractive index for anodic aluminium oxide films

Abstracts are not published in this journal     

Information synthesis based on hierarchical maximum entropy discretization

Abstract

This paper outlines a new approach to the synthesis of information from data. Information is defined as a detected organization of data after a process of discretization (or partitioning) and event covering. The discretization is based on a hierarchical maximum entropy scheme which iteratively minimizes the loss of information according to Shannon. The event-covering process is based on an evaluation of the deviation of the observed frequencies of an event from the expectation due to prior knowledge (defined by the null hypothesis and/or domain knowledge). The hierarchical maximum entropy discretization scheme provides a rigorous and efficient way in solving the non-uniform scaling problem in multivariate data analysis. Because our method refines the boundaries dynamically depending on the detection of information, it directs the analysis on the outcome subspace with high information content. In addition, it naturally produces a hierarchical view of information so that data can be analyzed/synthesized with respect to an outcome context. The method has been tested using simulated and real life data with very good result.     

单元化柔性制造系统集成开发的模块化方法

提出一套用于单元化柔性制造系统（CFMS）开发的结构化方法。主要强调和突出了建筑块（Building Block)概念以及集成开发与控制环境。建筑块是一种迷你型自治单元,它可以执行规划功能、计划执行和执行监控。在开发建筑块的过程中,用到了面向对象的软件工程方法论。基于这种方法论,通过一个集成CFMS开发与运作环境,一系列的FMS（CFMS）可由事先定义好的软件建筑块类库中产生。     

A learning-based methodology for dynamic scheduling in distributed manufacturing systems

To enhance productivity in a distributed manufacturing system under hierarchical control, we develop a framework of dynamic scheduling scheme that explores routeing flexibility and handles uncertainties. We propose a learning-based methodology to extract scheduling knowledge for dispatching parts to machines. The proposed methodology includes three modules: discrete-event simulation, instance generation, and incremental induction. First, a sophisticated simulation module is developed to implement a dynamic scheduling scheme, to generate training examples, and to evaluate the methodology. Second, the search for training examples (good schedules) is successfully fulfilled by the genetic algorithm. Finally, we propose a tolerance-based learning algorithm that does not only acquire general scheduling rules from the training examples, but also adapts to any newly observed examples and thus facilitates knowledge modification. The experimental results show that the dynamic scheduling scheme significantly outperforms the static scheduling scheme with a single dispatching rule in a distributed manufacturing system.     

A novel prediction model based on hierarchical characteristic of web site

Internet has developed in a rapid way in the recent 10 years,and the information of web site has also been increasing fast. Predicting web user’s behavior becomes a crucial issue following the purposes like increasing the user’s browsing speed efficiently, decreasing the user’s latency as well as possible and reducing the loading of web server. In this paper, we propose an efficient prediction model, two-level prediction model (TLPM), using a novel aspect of natural hierarchical property from web log data. TLPM can decrease the size of candidate set of web pages and increase the speed of predicting with adequate accuracy. The experiment results prove that TLPM can highly enhance the performance of prediction when the number of web pages is increasing.     

ZK60镁合金热变形过程中的动态再结晶动力学

采用Gleeble-1500热模拟机对ZK60镁合金在温度为200～400℃、应变速率为0.001～10s-1、最大变形量为60%的条件下进行恒应变速率高温压缩实验,研究高温变形过程中合金的动态再结晶行为;采用EM模型描述合金的动态回复曲线,以此为基础,得出ZK60合金热压缩过程中的动态再结晶动力学Avrami方程.利用有限元模拟合金热压缩过程中的动态再结晶.结果表明ZK60合金热压缩过程中由于存在动态再结晶的软化作用,流变应力达到峰值后逐渐减小,并最终达到稳态;随着变形量的增加和变形温度的升高,动态再结晶体积分数增加,合金变形更加均匀;随着应变速率的增加,动态再结晶分数有所减小,且.变形也更不均匀.