变压吸附空气分离制氧微型化技术研究

对压缩机、吸附剂、工艺流程、吸附器结构以及制氧机的结构与外观进行了深入分析,结果表明,开发新型节能的微型压缩机,开发适用于微型制氧机的锂分子筛和节能的工艺流程是变压吸附空分制氧微型化的根本途径,优化吸附器结构和制氧机的结构与外观是优化微型变压吸附制氧机的重要方法,是提高制氧机市场竞争力的有效措施。     

微型变压吸附制氧与氧疗保健

微型变压吸附制氧具有方便、灵活以及可长期连续供氧等特点,是家庭氧疗保健的最佳供氧方法。随着微型制氧技术的发展,微型变压吸附制氧机的各项性能指标逐步提高。微型变压吸附制氧应用于氧疗保健可以治疗病理性缺氧疾病,可以缓解生理性缺氧症状、环境性缺氧症状。随着人们对氧疗保健认识的深入和供氧设备的发展,氧疗保健将得到快速发展。     

微型变压吸附制氧机发展概况及存在的问题

<正>我国在上世纪90年代有了自主开发研制微型变压吸附制氧机的能力,经过几十年发展,微型变压吸附制氧技术日趋成熟,尤其是2012年之后发展速度显著增加,至2014年,国内家用微型制氧机生产厂家为70家左右,产量为160万台左右。目前,我国微型缺氧机技术发展情况是:吸附剂方面,主要使用X型分子筛和5A沸石分子筛;已经开发出铵-锂改性的方法,以及Li+与其他稀土金属共交换的方法;国产吸     

600m~3/h变压吸附制氧机工程设计、安装及使用

介绍川空600m3/h变压吸附制氧机在宁夏石嘴山钢铁厂使用的情况,文章叙述了设备选型、工程设计、安装及试用。与深冷法制氧机比较,变压吸附制氧机具有投资省、启动快、生产周期长、便于管理等优点。图1。     

延长变压吸附制氧机运行周期

介绍了邯钢动力厂两套变压吸附制氧机运行周期较短的主要原因 ,采取相应措施 ,解决了制氧机故障率较高问题 ,延长了制氧机运行周期     

精彩纷呈 聚力发展 记2015年气体分离设备行业细分专业报告会

<正>2015年5月29—30日,中国通用机械工业协会气体分离设备分会八届一次会员大会暨2015年气体分离设备行业细分专业报告会在北京银龙苑宾馆圆满召开。来自气体分离设备行业的10位专家学者和企业代表分别就我国大型空分设备、膜分离、天然气液化设备、工业制氢技术、变压吸附制氧、变压吸附制氢、微型变压吸附制氧机、石化工业用低温设备、大型空气透平压缩机、绕管式换热器专业的技术现状和发展趋势做了报告,精彩的演讲获得     

文献消息

92077 我国变压吸附制氮设备进展深冷技术,1991,(5),12～16 介绍了变压吸附制氮特点和国内用5A分子筛与碳分子筛的变压吸附制氮的工艺参数与流程,还介绍了杭州制氧机厂的变压吸附制氮设备的参数与系列。92078 变压吸附制氮用国产碳分子筛的技术现状     

变压吸附制氧机微型化研究

探讨了变压吸附制氧机微型化的一般途径:使用分离性能好的分子筛,以减小制氧机的体积与重量;在工艺流程中增加均压步骤,以降低能耗,减小体积;优化吸附塔结构,以降低其高度;将双塔结构改为多塔结构,可以很大程度地降低制氧机的高度;把制氧机做成分体式,将其从室内移到室外,以达到室内“零”体积。降低产品气纯度标准,使其仅用于氧保健领域,也是微型化研究的方向。     

变压吸附技术培训班在杭举办

<正>为普及提高变压吸附设备操作维护人员的基础理论和技术水平,使他们掌握其所从事工作所必需的基本知识,根据有关单位的要求,杭州制氧机研究所于1992年10月21日至11月1日在杭州举办了“变压吸附技术培训班”。来自全国各地7个单位共25名学员参加了培训。     

青藏铁路机车车载变压吸附制氧机的研制

对国内首套青藏铁路机车车载变压吸附制氧机的设计开发、流程组织、试验情况、适用性等作了详细的介绍 ,并对设备所存在的问题进行了分析和探讨。     

医疗设备使用风险评估中的FMECA新方法

基于FMECA的风险分析方法可以帮助医疗机构更加有效地评估、控制医疗设备的使用风险。根据医疗设备的使用特点,利用模糊数学与灰色关联理论对方法进行改进,可更为客观地得出各风险模式的模糊评价结果和优先控制顺序。新方法以C臂机的风险分析为实例,说明其改进和应用过程。新方法扩展了FMECA的应用领域,为医疗设备的科学管理提供了依据。     

Risk-oriented assembly quality analysing approach considering product reliability degradation

Assembly process is a critical stage in the formation of product quality and reliability, but related consideration of the produced product reliability and accident risk has not attracted deserved attention in the most assembly quality analysis frameworks. To this end, this paper enhances risk analysis in assembly process quality control, which is advocated by ISO 9001:2015, and presents a risk-oriented assembly quality analysis approach considering the effects of assembly variations on the produced product reliability degradation and accident risk. First, a conceptual QRR chain is presented to illustrate the relationship among assembly process quality (Q), product reliability (R), and failure accident risk (R). Second, a risk-oriented and bidirectional framework for the analysis of assembly process quality is established based on the presented QRR chain aiming to quantitatively identify the risk sources in the assembly process and reduce the risk of failure accidents. Third, an assembly process quality risk model with key function reliability as its core is presented to establish the quantitative relationship between assembly variation and product failure accident risk. Finally, the presented approach is verified through a case study of an assembling quality risk analysing for acid-resistant grinder.     

Modified failure mode and effects analysis using approximate reasoning

The marine industry is recognising the powerful techniques that can be used to perform risk analysis of marine systems. One technique that has been applied in both national and international marine regulations and operations is failure mode and effects analysis (FMEA). This risk analysis tool assumes a failure mode, which occurs in a system/component through some failure mechanism; the effect of this failure is then evaluated. A risk ranking is produced in order to prioritise the attention for each of the failure modes identified. The traditional method utilises the risk priority number (RPN) ranking system. This method determines the RPN by finding the multiplication of factor scores. The three factors considered are probability of failure, severity and detectability. Traditional FMEA has been criticised to have several drawbacks. These drawbacks are addressed in this paper. A new proposed approach, which utilises the fuzzy rules base and grey relation theory is presented.     

FMEA下的超市食品HACCP计划制定与实现

结合故障模式与影响分析(FMEA)以及危害分析和关键控制点(HACCP)方法,可以分析超市食品供应中的潜在故障模式和决定给予风险优先级的关键控制点,从而可以产生一个HACCP计划.这一方法在一个超市产生猪肉的供应计划中成功地得到应用.     

Failure analysis of a hydraulic Kaplan turbine shaft

This paper shows the results of the failure analysis of a 105 MW Kaplan turbine auxiliary shaft from a hydropower plant. As a part of the failure analysis, the turbine operation history was revised and the metallographic study was done. A sample of the cracked turbine shaft was examined using optical microscopy and scanning electron microscopy. Failed auxiliary shaft was coupled to the main turbine shaft and its principal function was turning the runner blades according to flow direction. In order to complement the cause of failure, a finite element analysis (FEA) was done to calculate the stress level under the maximum and minimum turbine blade inclination position. The results of present investigation showed that failure was caused by high cycle and low stress fatigue. The presence of a stress concentrator on the turbine shaft was a crucial factor to the fatigue crack-initiation phase. The FEA revealed also that the frequently load variations, showed in the operation history, could have contributed to the crack propagation.     

Risk analysis of corrosion failures of equipment in refining and petrochemical plants based on fuzzy set theory

Corrosion failures of process equipment have been one of the main sources of risk to refining and petrochemical plants. For reducing failure risk levels and optimizing inspection plans, risk analysis of equipment failures resulting from corrosion need to be implemented. However, due to the complexity and uncertainty of the refining and petrochemical units and risks, effective analyses are hard to accomplish by using conventional risk techniques. With respect to this, a new model for risk analysis of corrosion failures of equipment is developed base on fuzzy set theory. In this model, two essential parts of failure risk (i.e., failure likelihood and severity of failure consequence) are first estimated by using fuzzy synthetic evaluation, and then integrated into a risk index by fuzzy risk graph which is established based on fuzzy logic system. In order to demonstrate the feasibility of this model, an application example in an overhead system of a crude-oil distillation unit was presented. The results show that this model is effective and feasible.     

Interval risk analysis for gravity dam instability

Fuzziness and randomness are two inseparable uncertainty attributes of most factors influencing stability of gravity dam. Moreover, there is a fuzzy transition from stability status into failure status. Risk analysis and fuzzy mathematics are conducted to evaluate the stability problems of gravity dams, where the process of stability failure is studied as a fuzzy event. Membership functions are used to describe the extent of stability failure risk for gravity dams. The fuzziness of both the design parameters and failure criterion are accordingly eliminated through a transformation by use of the concept of the Level Set. Corresponding analysis procedures are then provided to calculate the fuzzy risk and its probability of the stability failure for gravity dams. Based on a real dam section, a detailed example is further provided to illustrate the proposed risk analysis approach. The results show that it is feasible to apply the present method to analyze the fuzzy risk of stability failure for gravity dams. The modeling approach is sound and the findings do improve the current understanding of this important problem. The conventional risk is a determinate value but the proposed fuzzy risk is an interval value. The obtained conclusions can reflect more reasonably the actual dam engineering.     

Failure mode and effects analysis using function–motion–action decomposition method and integrated risk priority number for mechatronic products

Failure mode and effects analysis is a widely applied risk assessment method in various engineering and management domains. However, the identification of failure modes is difficult and uncountable. Therefore, a function–motion–action (FMA) decomposition method is developed to identify failure modes from the perspective of motion and extraordinarily suitable for mechatronic products. In the typical risk assessment, the ranking orders of failure modes are determined by risk priority number (RPN), which has been criticized for several drawbacks and improved by some alternative RPNs, but some drawbacks still exist, such as duplicate values, narrow admissible value range, and missing failure modes’ and risk factors’ weights. This study formulates several alternative weighted RPNs to overcome the above drawbacks, and the final ranking orders of failure modes are garnered through the integrated RPN (IRPN). First, failure modes are identified via the proposed FMA decomposition method and evaluated with crisp values, whose weights are aggregated from the basic failure modes’ weights. Second, the weights of the basic failure modes, risk factors and different RPN methods are derived from analytic hierarchy process. Third, the conditional weights of risk factors are determined by incorporating risk factors’ weights and failure modes’ conditional weights deduced from Shannon entropy. Next, several alternative weighted RPNs and IRPN are formulated to rank failure modes’ risk levels. Finally, an illustrative example about computer numerical control machine center is presented to demonstrate the application and effectiveness of the proposed method.     

利用FMEA思想分析低成本区域采购的潜在风险

介绍了利用潜在失效模式分析(FailureModeEffectAnalysis,FMEA)方法对高成本区域企业从低成本区域供应商采购零部件的潜在风险进行列举,认定潜在风险的分析过程、方法及评价过程和方法,以便控制低成本区域采购的风险或采取相应的风险应对措施。     

Quality risk analysis in a cGMP environment: multiple models for comprehensive failure mode identification during the computer system lifecycle

Pharmaceutical quality systems use various inputs to ensure product quality and prevent failures that might have patient consequences. These inputs are generally data from failures that have already occurred, for example process deviations or customer complaints. Risk analysis techniques are well-established in certain other industries and have become of interest to pharmaceutical manufacturers because they allow potential quality failures to be predicted and mitigating action taken in advance of their occurring. Failure mode and effects analysis (FMEA) is one such technique, and in this study it was applied to implement a computerized manufacturing execution system in a pharmaceutical manufacturing environment. After introduction, the system was monitored to detect failures that did occur and these were analyzed to determine why the risk analysis method failed to predict them. Application of FMEA in other industries has identified weaknesses in predicting certain error types, specifically its dependence on other techniques to model risk situations and its poor analysis of non-hardware risks, such as human error, and this was confirmed in this study. Hierarchical holographic modeling (HHM), a technique for identifying risk scenarios in wide-scope analyses, was applied subsequently and identified additional potential failure modes. The technique for human error rate prediction (THERP) has previously been used for the quantitative analysis of human error risk and the event tree from this technique was adapted and identified further human error scenarios. These were input to the FMEA for prioritization and mitigation, thereby strengthening the risk analysis in terms of failure modes considered.