用Sol-Gel法制备喷墨打印用BaTiO3陶瓷墨水

用Sol-Gel法，通过控制异丙醇肽和醋酸钡的水解速率制备了BaTiO3陶瓷墨水，研究了陶瓷墨水的制备工艺参数，分散剂添加量，导电盐添加量，pH值，固相含量等对墨水性能的影响，用扫描电镜观察了BaTiO3B 墨滴打印点和单一打印层的形貌，发现陶瓷墨滴大小均匀，打印层表面平整。该墨水满足连续式喷墨打印要求。     

Transverse Distributions of Front and Back Tension Stresses in Cold Strip Rolling

In this paper,such a new lateral displacement function is proposed that the lateral flow velocity is con-tinuous at the entry and the exit of deformation zone.A new kind of finite strip method—the third powerB-spline finite strip method—is put forward to simulate strip rolling process.Front and back tension stressesare formulated.The computed results of the transverse distributions of the front and back tension stresses areclose to the experimental results.The paper lays a foundation for further analysing the three-dimensionalstresses and deformations of strip rolling.     

Superplasticity in Aluminium Brass(HAl 66-6-3-2)

1.IntroductionSuperplasticity is not merely a specialphenomenon for certain specific alley,but isone of the intrinsic properties of metallicmaterials[1].When the internal and externalconditions are suitable,superplasticity ofmetal materials will be presented.     

Relationship between Relaxation Internal Friction Peak at about 200℃(f≈1Hz)and Bainitic Transformation In a CuZnAl Alloy

The present investigation showed that the re-laxation peak at about 200℃ (f≈1Hz) was relatedto bainitic transformation in a CuZnAl alloy.Thepeak decreased when bainite precipitated.Theactivation energy of the peak was the same as theapparent activation energy of bainitic transforma-tion.According to the relations between the peakand the bainitic transformation,the mechanism ofthe peak has been discussed.     

斜辊矫直机中矫直辊辊形及其安装角的工程设计方法

本文通过对矫直辊与管材在理想接触条件下接触情况的分析，得出了工程计算矫直辊辊形的参数方程，为在数控机床上加工矫直辊辊形提供了方便，并根据接触理论给出了矫直不同直径管材时调整矫直辊安装角的工程方法。     

V—Ti—N微合金钢的晶粒粗化行为

本文研究了化学成分和凝固后的冷却速度对V-Ti-N钢晶粒粗化温度(T_(GC))的影响。结果表明,微量Ti的加入可在钢中产生大量10um左右的细小含Ti颗粒,从而显著提高T_(GC)。当冷速大于某一临界值时,T_(GC)不随冷速的变化而升高。在模拟150mm连铸坯冷却条件时,T_(GC)对氮含量的变化不敏感。加入0.33wt-％Mo可使T_(GC)降低约100℃。T_(GC)对冷却条件的敏感性与Ti,N含量有关。     

Type synthesis of the rotational decoupled parallel mechanism based on screw theory

With the gradual deepening of study on the parallel mechanism,the difficulty brought by the existence of coupling to the theoretical analysis and practical application of parallel mechanisms is becoming increasingly apparent.The research on the decoupled parallel mechanism is currently one of the hot fields.Though most of the rotational parallel mechanisms,which has been widely used in spatial orientation fields,are not decoupled.It is comparative difficult for the synthesis of fully decoupled rotational pa...     

An efficient orientation distance–based discriminative feature extraction method for multi-classification

Feature extraction is an important step before actual learning. Although many feature extraction methods have been proposed for clustering, classification and regression, very limited work has been done on multi-class classification problems. This paper proposes a novel feature extraction method, called orientation distance–based discriminative (ODD) feature extraction, particularly designed for multi-class classification problems. Our proposed method works in two steps. In the first step, we extend the Fisher Discriminant idea to determine an appropriate kernel function and map the input data with all classes into a feature space where the classes of the data are well separated. In the second step, we put forward two variants of ODD features, i.e., one-vs-all-based ODD and one-vs-one-based ODD features. We first construct hyper-plane (SVM) based on one-vs-all scheme or one-vs-one scheme in the feature space; we then extract one-vs-all-based or one-vs-one-based ODD features between a sample and each hyper-plane. These newly extracted ODD features are treated as the representative features and are thereafter used in the subsequent classification phase. Extensive experiments have been conducted to investigate the performance of one-vs-all-based and one-vs-one-based ODD features for multi-class classification. The statistical results show that the classification accuracy based on ODD features outperforms that of the state-of-the-art feature extraction methods.