O-sepa选粉机密封环磨损处理

选粉机密封失效是造成产品跑粗或出现粗颗粒的原因之一,即对产品质量有重要影响.通过对选粉机的密封方式及其原理进行分析,针对选粉机密封磨损跑粗问题,采取整体提高选粉机转子措施,进一步缩小密封环间隙,达到了选粉机密封要求,应用效果较好.     

O-Sepa选粉机密封环装配的改进措施

<正>OSepa选粉机转子上部密封多数为迷宫密封环,即凸形环和凹形槽相组合,当设备运行时间加长,密封环磨损后会出现产品细度跑粗或出现粗颗粒的工艺隐患,影响质量,造成台时产量下降,成本上升。为此将原密封环进行改进,提高凸形环和凹形槽配合间距,即使密封环磨损后期,也不会造成水泥细度跑粗,更不会出现粗颗粒现象。改进后,达到了选粉机密封要求,应用效果很好。     

选粉机细度跑粗和振动故障分析

目前，国内选粉机生产厂家众多，虽然形式有多种，但基本都是在原小野田选粉机设计基础上改进提高而成，因此工作原理大同小异。本文针对目前水泥厂家经常遇到的细度跑粗及设备振动问题，从选粉机结构本身入手，对可能的原因作一分析。     

浅谈防止机械密封失效的主要措施

机械密封作为泵和压缩机的重要部件,一旦失效,不仅会影响装置平稳运行及安全生产,给企业带来经济损失,甚至还会引发生产事故,造成人员伤亡。为此,本文从机械密封的工作原理和结构特点出发,着重分析了生产中导致机械密封失效的主要原因并提出解决对策。     

干气密封在聚丙烯装置C401压缩机上的应用

编写用于计算流体动压效应的计算程序,用有限元法对干气密封端面进行数值优化设计计算,得到动压槽形的最佳结构参数。利用干气密封独特的低能耗、少维护、长寿命、零泄漏的优点,结合现场实际情况,在对机组的壳体和转子等主要部件不做任何改动的前提下,制定C401压缩机原浮环密封的改造方案,解决在运行过程中密封易失效而导致密封油跑失的问题;同时,将原密封油脱气系统废除,消除安全隐患,简化操作,减少电能和润滑油的消耗。     

Φ5.4 m立磨用分离器主轴密封结构的改进

正0前言立磨分离器是立式辊磨机成品分选部分的装置,我们研发设计的立磨分离器采用了动静态高效选粉机的结构原理,分离器主要由壳体、转子、主轴、导风叶片组、下料溜槽、灰斗和传动装置等部件组成。主轴是旋转部件且在分离器工作过程中一直受到物料的冲刷,所以对分离器转子下端轴承的密封结构设计,是立磨分离器设计的重点部位之一。     

化工装置机组静密封点质量控制

化工装置机组静密封点处经常发生泄漏,造成介质流失、环境污染、影响装置安全生产。对各密封泄漏点检维修时发现泄漏的主要原因为密封失效。通过对各类型密封点的密封原理分析,提出密封点质量控制方法,解决密封失效问题,从而提高机组静密封质量,确保机组安全、平稳、长周期运行。。     

选粉机两项改造

水泥粉磨系统使用的O-Sepa N3000选粉机自投产以来,经常出现立轴下部轴承漏油及跑粗粉现象,针对这些问题,我们提出了改造方案.     

泵用机械密封失效原因分析与预防措施

介绍了泵用机械密封的原理及结构,对化工装置用泵的机械密封失效原因进行了分析,提出了防止机械密封失效的措施。     

SLK选粉机结构特点及性能研究

SLK选粉机是在平面涡流分选原理的基础上,结合粉煤灰固有特性,开发出的新型选粉机,其特点是引入了气动密封装置、异形叶片与预分散系统.通过模型样机进行试验,发现该机型在高处理量与高选粉浓度情况下,仍能获得高的选粉细度,同时磨损较小.     

扫描频率对UHMWPP／UHMWPE冻胶体系动态流变行为的影响

应用ARE-RFS溶体／熔体旋转流变仪研究了UHMWPP／UHMWPE冻胶体系的动态流变行为。结果表明：体系的储能模量、损耗模量随着角频率及UHMWPE含量的增加而升高;耗散系数随着角频率的增大而降低,随着UHMWWPE含量的增加而降低;复数粘度随着角频率的提高而降低,随着UHMWPE含量的增加而增加。     

Nonlinear dynamic process monitoring based on dynamic kernel PCA

Nonlinear dynamic process monitoring based on dynamic kernel principal component analysis (DKPCA) is proposed. The kernel functions used in kernel PCA (KPCA) are profitable for capturing nonlinear property of processes and the time-lagged data extension is suitable for describing dynamic characteristic of processes. DKPCA enables us to monitor an arbitrary process with severe nonlinearity and (or) dynamics. In this respect, it is a generalized concept of multivariate statistical monitoring approaches. A unified monitoring index combined T² with SPE is also suggested. The proposed monitoring method based on DKPCA is applied to a simulated nonlinear process and a wastewater treatment process. A comparison study of PCA, dynamic PCA, KPCA, and DKPCA is investigated in terms of type I error rate, type II error rate, and detection delay. The monitoring results confirm that the proposed methodology results in the best monitoring performance, i.e., low missing alarms and small detection delay, for all the faults.     

On the linearization of nonlinear dynamic systems

In this note, a novel linearization procedure for nonlinear dynamic systems is presented. Second order informations are being used, and thus the linearized system is thought to predict the behaviour of the nonlinear system system better than the first order Taylor Series expansion. Two simple examples are used to illustrate the good prediction of the present procedure.     

Oxygen transfer coefficients by the dynamic method

Models useful in the dynamic method for K_La measurements are developed and compared. Particular attention is given to the gas phase dynamics and the oxygen electrode response time. Comparisons and error calculations are based on computer simulations. Correction factors are presented for a range of dimensionless parameters. In general, the errors resulting from neglecting the gas phase dynamics and the electrode response can be expected to be large.     

Hydrogen adsorption measurements by the dynamic pulse method

Hydrogen adsorption uptakes by supported metal catalysts are commonly measured by the dynamic pulse technique. The pulse technique has several experimental advantages over the conventional static method, but the hydrogen uptakes measured by the pulse method are not easily interpreted. The measured pulse adsorption uptakes are influenced by the desorption of weakly adsorbed hydrogen. We found that the desorption of hydrogen at room temperature depends on the metal and the metal dispersion. We also found that hydrogen uptake measurements by the dynamic pulse method under well defined conditions are very reproducible.     

On-line batch process monitoring using dynamic PCA and dynamic PLS models

Producing value-added products of high-quality is the common objective in industries. This objective is more difficult to achieve in batch processes whose key quality measurements are not available on-line. In order to reduce the variations of the product quality, an on-line batch monitoring scheme is developed based on the multivariate statistical process control. It suggests using the past measured process variables without real-time quality measurement at the end of the batch run. The method, referred to as BDPCA and BDPLS, integrates the time-lagged windows of process dynamic behavior with the principal component analysis and partial least square respectively for on-line batch monitoring. Like traditional MPCA and MPLS approaches, the only information needed to set up the control chart is the historical data collected from the past successful batches. This leads to simple monitoring charts, easy tracking of the progress in each batch run and monitoring the occurrence of the observable upsets. BDPCA and BDPLS models only collect the previous data during the batch run without expensive computations to anticipate the future measurements. Three examples are used to investigate the potential application of the proposed method and make a comparison with some traditional on-line MPCA and MPLS algorithms.     

On the dynamic modelling of porous catalyst particles

A lumped dynamic model of à porous catalyst pellet is developed on the basis of the active site theory. This model is compared with a previous pseudo-homogeneous model due to Liu and Amundson and found to differ in two important respects: i) the effective mass capacity is much greater ii) there is an additional heat generation term due to the adsorption-desorption step. Both differences are shown to have important conflicting effects on the stability and dynamic behavior of the pellet.