Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations

Due to the complexity of the machine tool structure and the cutting process, the dynamics of machining processes are still not completely understood. This is especially true due to the demand of high-speed machining to increase productivity. In order to model and control these complex processes, new approaches, which can represent complex phenomenon combined with learning ability, are needed. The combined neural–fuzzy approach appears to be ideally suited for this purpose. In this paper, the recently developed fuzzy adaptive network (FAN) is used to model surface roughness in turning operations. The FAN network has both the learning ability of neural network and linguistic representation of complex, not well-understood, vague phenomenon. Furthermore, it can continuously improve the initially obtained rough model based on the daily operating data. To illustrate this approach, a model representing the influences of machining parameters on surface roughness is established and then the model is verified by the use of the results of pilot experiments. Finally, a comparison with the results based on statistical regression is provided.     

INVESTIGATION ON CRYSTALLIZATION KINETICS OF Pd-Cu-Si GLASS

The crystallization kinetics of Pd-Cu-Si glass was studied by means of diferential scanningcalorimetry-Ⅱ.According to Kissinger peak shift meth(?)d and Arrhenius equation,theapparent activation energy was calculated.The crystallization kinetics follows Johnson-Mehl-Avrami equation with n=3.0 within 0.15相似文献   

基于MATLAB的热定型机PID张力控制器设计

文章介绍了热定型机的工作原理,及其定型过程中张力系统控制结构图,并以此为基础建立了张力控制系统的数学模型.基于比例积分微分(PID)控制器的原理,利用MATLAB软件设计了张力控制器,其编写的PID参数整定函数能作为MATLAB函数进行直接调用.实验和仿真结果表明:该控制器完全满足张力控制系统的性能要求,降低了超调量,提高了系统的动静态性能;同时设计简单、易于实现.     

含共晶碳化物Fe－Cr－Mn合金在高温含硫气氛中的腐蚀研究

对含碳量为０．５０－２．６３％的Ｆｃ－Ｃｒ－Ｍｎ合金在８００℃下含硫混合气氛中进行腐蚀试验．用Ｘ射线物相分析法分析了腐蚀产物种类及其相对含量，现实测定了元素在腐蚀产物中的分布及试样亚表层共晶碳化物的腐蚀行为。结果表明：试验合金比高Ｎｉ耐热钢具有高的抗腐蚀性；合金的腐蚀行为受硫化及氧化腐蚀双重制约，因而使合金的腐蚀增重呈现峰值，随气氛氧化性增强，峰值向低碳方向移动；共晶碳化物具有比金属基体略好的抗腐蚀性。     

数据中心计算环境应用承载能力评价

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Recover Fault Services via Complex Service-to-Node Mappings in Wireless Sensor Networks

With the motivation of seamlessly extending wireless sensor networks to the external environment, service-oriented architecture comes up as a promising solution. However, as sensor nodes are failure prone, this consequently renders the whole wireless sensor network to seriously faulty. When a particular node is faulty, the service on it should be migrated into those substitute sensor nodes that are in a normal status. Currently, two kinds of approaches exist to identify the substitute sensor nodes: the most common approach is to prepare redundancy nodes, though the involved tasks such as maintaining redundancy nodes, i.e., relocating the new node, lead to an extra burden on the wireless sensor networks. More recently, other approaches without using redundancy nodes are emerging, and they merely select the substitute nodes in a sensor node’s perspective i.e., migrating the service of faulty node to it’s nearest sensor node, though usually neglecting the requirements of the application level. Even a few work consider the need of the application level, they perform at packets granularity and don’t fit well at service granularity. In this paper, we aim to remove these limitations in the wireless sensor network with the service-oriented architecture. Instead of deploying redundancy nodes, the proposed mechanism replaces the faulty sensor node with consideration of the similarity on the application level, as well as on the sensor level. On the application level, we apply the Bloom Filter for its high efficiency and low space costs. While on the sensor level, we design an objective solution via the coefficient of a variation as an evaluation for choosing the substitute on the sensor level.     

Extension of the gap statistics index to fuzzy clustering

The well-known gap statistic index proposed by Tibshirani et al. has successfully applied in many clustering evaluations. However, the gap statistic index cannot evaluate the clustering partitions from any fuzzy clustering algorithm. This is because fuzzy clustering cannot provide the within-cluster similarity measure that is used in the gas statistic index. Thus, the applicable range of the gap statistic index is very limited. In this paper, we present a new method that extends the gap statistic index to fuzzy clustering by using fuzzy membership notations. Our proposed method can extend the applicability of the gap statistic index, and outperform other existing fuzzy indices in several aspects. Experiments on eight sets of synthetic and real datasets are used to verify the applicability and efficiency of the proposed method.     

雅砻江锦屏梯级水电站鱼类增殖放流站设计

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西江航道封开段整治工程检测实践与探讨

结合西江(封开境内)航道整治工程第三方检测的实施过程,对航道整治工程第三方检测工作的流程和方法进行了探讨.     

基于用“动态汛限水位”来利用雨洪资源

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