练泥

110kVSF6瓷套真空细练泥段缺陷原因分析及对策

Analysis of Defects of Damaged Reason of Vacuum Pugged Body 110 kV SF_6 Insulator and Countermeasure

φ500mm真空练泥机的设计与调试

Designing and Commissioning of Vacuum Pig Mill φ 500mm

TC100型防锈真空练泥机

Study on the Type TC 100 Rustproof Vaccum Pug Mill

真空练泥机中陶瓷泥料挤出过程的研究

Study on the paste extrusion process in the de-airing pug mill

真空练泥机螺旋喷焊强化研究

Study of Spray Welding on Spirals of the Vacuum Refining Mud Machine

ZL800/M型真空练泥机的研制

Development of Vaccum Pug Mill of Type ZL800 / M

基于有限元方法的真空练泥机螺旋绞刀结构参数研究

Study on the Structure Parameter of De-Airing Pug Mill Screw Based on Finite Element Method

关于真空练泥机的真空系统

Vacuum System of De-airing Pug Mills

它从练泥开始就在培养和锻炼学生的动手能力、想象能力和创造能力。

It starts to develop students ' hand-on ability , imaginative ability and creative ability from mud making .

本实用新型涉及一种无级变速真空练泥机，属于陶瓷机械领域。

The utility model relates to a continuously variable-speed vacuum pug mill , which belongs to the ceramic mechanical field .

本文根据流体力学和热力学的基本原理对练泥机真空系统的工作过程进行了分析研究，研究结果指出：1.漏气是影响真空系统正常工作的重要因素。

The de-airing process in vacuum system of de-airing pug mills has been studied based on the principles of hydrodynamics and thermodynamics .

根据真空练泥机中泥料挤出过程的实际情况，建立了泥料的简化运动模型。

A simplified kinetic model has been established , according to the actual situation of the paste extrusion process in the De-airing Pug Mill .

这一问题产生的主要原因是由于坯泥在真空练泥机挤制过程产生了内部应力分布的不均匀。

The main causes of this problem are due to the uneven distribution of inner stress when the mud in the vacuum pug mill extrusion process .

研究了成型方法、原料配比、成型压力、练泥遍数及烧成制度等工艺条件对多孔透水砖性能的影响。

The effect of the technological conditions such as molding method , raw material proportioning , pugging times and sintering system on the performances of porous permeable bricks was studied .

对测得的真空练泥机机头内壁压力数据进行小波包分解，提取其特征向量，然后通过灰色关联度分析法，可以在泥料炼制过程中及时对陶瓷泥料产生裂纹的可能性进行预测。

For the measurement data of inwall pressure of vacuum pug mill head , takes wavelet packet decomposition , extracts its characteristic vectors and then the possibili - ty of cracking can be predicted timely in the refining process through gray relation analysis .