纳米金属陶瓷Ni-AlN复合层的超声-电沉积制备

采用超声-电沉积方法制备纳米金属陶瓷N i-A lN复合层.研究了超声波机械扰动效用对电解液传质过程的作用,超声波空化效应对纳米粒子团聚的抑制作用,脉冲电参数对控制晶粒成核及生长的作用.采用优选工艺参数,在常用金属表面获得了由镍晶(20~60 nm)和纳米粒子A lN构成的纳米级N i-A lN复合镀层.镀层与基体结合比较牢固,结合力达到89 N,厚度11~12μm,平均表面硬度达到HV606.     

纳米CaCO_3/ACR复合物的制备及在PVC改性中的应用

采用种子乳液聚合法合成了具有核壳结构的纳米C aCO3/ACR复合胶乳。将其与PVC进行共混,考察了不同界面结构对复合材料力学性能的影响,并用TEM、SEM对复合粒子分散情况及共混物断面形态进行了考察。结果表明,纳米复合粒子在PVC基质中达到了纳米级分散;用钛酸酯处理的纳米C aCO3优于用硬脂酸处理的纳米C aCO3的改性效果;核层与壳层单体比、壳层单体比都存在最佳值。     

聚乙烯钢塑复合管导热系数的测定

聚乙烯钢塑复合管是新一代替代传统管道的新型管材，其导热系数的测试及相关的数据目前还没有报导。本文利用一维、稳态传热的基本规律，采用相对简单易行、测试成本低、较能真实反映实际情况的测试装置，对成都某企业的聚乙烯钢塑复合管导热系数进行了测试，获取了较满意的测试结果，并对测试结果的准确性进行了分析。所采用的测试方法及所获取的数据，对相应的生产厂家、设计、施工单位具有一定的指导意义。     

中间夹层材料和保护气体对不锈钢-碳钢复合效果的影响

提出了利用中间夹层材料促进不锈钢与碳钢复合的新工艺。研究了中间夹层材料和保护气体对不锈钢与碳钢复合效果的影响规律。结果表明，采用自制的银基中间夹层材料可以使两种母材在较低的压力下实现良好的复合；加热过程中采用氩气保护能够有效地去除不锈钢表面致密的氧化膜。     

7A52合金中化合物的形成及防止

通过对7A52合金中的主要元素Mn等进行控制，辅以专门的供流系统，合理控制冷却强度等三大工艺参数，可以使7A52合金中的化合物不影响制品的加工性能，对提高制品的成材率有明显效果。     

蒸煮过程复合压力控制系统的设计

本文以造纸厂蒸煮过程压力控制系统为例，介绍了一种新颖的基于参数自调整模糊控制和PI控制的复合控制策略，叙述了模糊控制的基本原理和参数调整的基本过程。同时，简单介绍了工控机控制方案和系统的软件结构。经实践证明，该系统性能良好。     

矢量法改进复合式相复励发电机调压特性

电抗变流复合式相复励有许多优点。本文根据相位和复励调节原理 ,用矢量法调整发电机主、副绕组相位 ,辅以相复励一、二次绕组匝数调整 ,改进三相同步发电机调压特性 ,在全系列相复励发电机开发中应用 ,取得较好效果。     

为测试系统诊断构造基于知识（规则）的诊断系统

随着集成电路测试系统复杂程度的不断提高，其自身的完整性和正确性变得越来越重要。作者所设计并实现的基于知识（规则）的诊断系统ＬＳＴＳ－Ｄｉａｇ实现了对大型测试系统ＬＳＴＳ硬件的故障诊断。本文以基于知识（规则）的诊断系统为背景，以ＬＳＴＳ－Ｄｉａｇ的系统设计方案为主线，论述ＬＳＴＳ－Ｄｉａｇ诊断系统的诊断策略、知识表示方法、诊断推理的运用，以及ＬＳＴＳ－Ｄｉａｇ的系统结构和系统设计，并给出有关系统运行     

On the Logical Foundations of Compound Predicate Formulae for Legal Knowledge Representation

In order to represent legal knowledge adequately, it is vital to create a formal device that can freely construct an individual concept directly from a predicate expression. For this purpose, a Compound Predicate Formula (CPF) is formulated for use in legal expert systems. In this paper, we willattempt to explain the nature of CPFs by rigorous logical foundation, i.e., establishing their syntax and semantics precisely through the use of appropriate examples. We note the advantages of our system over other such systems and discuss the significance of CPFs with regard to the formalization of legal reasonings using examples from the United Nations Convention for the International Sale of Goods.     

Handwritten Chinese Character Recognition Based on Primitive and Fuzzy Features via the SEART Neural Net Model

A handwritten Chinese character recognition method based on primitive and compound fuzzy features using the SEART neural network model is proposed. The primitive features are extracted in local and global view. Since handwritten Chinese characters vary a great deal, the fuzzy concept is used to extract the compound features in structural view. We combine the two categories of features and use a fast classifier, called the Supervised Extended ART (SEART) neural network model, to recognize handwritten Chinese characters. The SEART classifier has excellent performance, is fast, and has good generalization and exception handling abilities in complex problems. Using the fuzzy set theory in feature extraction and the neural network model as a classifier is helpful for reducing distortions, noise and variations. In spite of the poor thinning, a 90.24% recognition rate on average for the 605 test character categories was obtained. The database used is CCL/HCCR3 (provided by CCL, ITRI, Taiwan). The experiment not only confirms the feasibility of the proposed system, but also suggests that applying the fuzzy set theory and neural networks to recognition of handwritten Chinese characters is an efficient and promising approach.