青霉素发酵液超滤处理的膜材料

提出了处理具体发酵液所用膜材料的选择方法、流程、设备，并对青霉素发酵滤液进行处理、结果表明，膜技术用于青霉素发酵液后处理过程时选择合适的膜材料，不会对青霉素造成吸附和破坏。实验中选用的超滤膜用于青霉素发酵滤液的处理是合适的，膜不会溶胀、变性，能长期使用。     

1,3-丙二醇发酵液电渗析脱盐中离子膜影响的实验研究

电渗析法可以有效去除1,3-丙二醇发酵液中存在的有机酸盐,保证下游处理过程的顺序进行,为了选取适于该脱盐过程的离子膜种类,采用4种离子交换膜分别进行了发酵液电渗析实验,通过对脱盐效果的综合评价着重探讨了离子交换膜性能的影响、实验研究表明,对于有机酸盐电渗析脱除过程,阴膜的选取至关重要;当阴、阳膜导电能力较强时,脱盐效果良好,此外,进行了中性溶质在不同离子膜中的模拟扩散实验,在综合比较脱盐效果和中性溶质扩散损失的基础上,获得了针对1,3-丙二醇发酵液电渗析脱盐的较优阴、阳离子膜种类。     

预处理方式对透明质酸发酵液的超滤膜污染影响的研究

叙述了透明质酸（HA）发酵液经5种不同预处理方法处理后,所获得清液在超滤过程中通量J的变化规律,通过比较预处理前后发酵液中透明中质酸浓度和分子量的变化;超滤前后膜通量的变化及酶液处理后膜通量的变化,探讨了膜超滤过程中污染规律及预防方式。     

新型模具钢012Al在深冷处理过程中的组织转变

本文利用x-射线衍射分析及复型和薄膜透射技术研究了012Al钢经淬火后在深冷处理过程中的组织转变。结果表明,淬火后的残余奥氏体在深冷处理过程中部分转变成马氏体;深冷处理使马氏体发生分解,析出超细碳化物;同时伴有形变晶孪产生。     

关于浮石水电厂发电机绝缘受潮的分析与处理措施总结和预防建议

笔者通过介绍某电厂发电机处理过程，以及如何通过对变压器故障后的试验及油样色谱分析，并对比该设备历史试验数据，迅速判定故障部位。     

膜过滤技术在维生素B12生产中的应用

采用聚偏氟乙烯(PVDF)中空纤维微滤膜对维生素B12发酵液进行了除菌研究.发酵液经过微滤膜过滤后,菌体完全去除(去除率100%),远高于离心机除茵效果(去除率70%),滤液的澄清度及质量得到提高.另外,对污染膜的清洗研究表明,一般情况下0.1%的NaOH溶液清洗效果理想,当污染严重时,超声波振荡清洗效果最有效.     

某国产亚临界60OMW机组振动故障分析及处理

分析某国产亚临界600MW机组#2轴承轴振偏大且不稳定的原因，简述了振动的处理过程及处理后#2轴承的振动效果。     

超滤膜除谷氨酸发酵液中菌体对等电提取收率的影响

采用截留分子量（ＭＷＣＯ）为６万和１万的卷式超滤膜,去除谷氨酸发酵液中的菌体,同时将发酵液中的固含量浓缩１０倍,再利用等电法提取谷氨酸。经超滤后的发酵液等电收率可达到９０．９６％,在提高等电收率的同时,菌体的去除还降低了污水的处理负荷。     

用超过滤,反渗透技术处理古龙酸发酵液的研究

本文对药厂提供的酸性强、高混浊的古龙酸发酵液首先采用超过滤脱除发酵液中的蛋白、菌体及其他杂质,然后经过反渗透浓缩,所得产品古龙酸含量86%～89%,溶点约160℃,完全符合药厂产品标准。采用超过滤与反渗透技术后,与原工艺比较,可大大节省能源。本文还对适应古龙酸液浓缩、分离用的膜种类进行了探讨。     

陶瓷膜超滤在丁二酸发酵液纯化中的应用

对陶瓷膜过滤丁二酸发酵液的条件进行研究.考察在不同压差下,发酵液的pH以及浓缩倍数对膜通量的影响,并对膜清洗条件进行选择.结果表明在0.3 MPa压差下,发酵液调节pH至4.5,可获得最大膜通量,浓缩到7倍最佳.菌体截留率达到98.37%,蛋白质去除率为89.67%,总有机碳下降约40%.而膜污染后先后用1%次氯酸钠,1%氢氧化钠+0.5%EDTA清洗,可以恢复膜通量.实验表明,可以将陶瓷膜用于分离丁二酸发酵液,有利于简化操作步骤,提高生产效率.     

异丁烷脱氢冷箱分离系统工艺流程分析及其优化

介绍了UOP的Oleflex工艺的异丁烷脱氢装置冷箱分离系统工艺流程、与冷箱分离系统关联的上下工艺流程;详细分析了冷箱分离系统的换热分离与上下工艺流程关系及其相互影响情况;结合实际运行情况,提出了新的、优化后的工艺流程。     

Model to determine the capacity of wafer fabrications for batch-serial processes with time constraints

Time constraints related issues are unavoidable in wafer fabrications. However, when the lots released from a batch workstation overload the downstream serial workstation the consequences are more serious. Under a time constraints environment, peak workload is a critical problem that seriously hurts the overall performance of the downstream workstation. This work applies a GI/G/m queuing network to develop a capacity planning model for batch-serial processes. By applying this queuing network model, the expected waiting time between batch-serial processes can be estimated. Managers can also determine the capacity through the setting of expected rate of exceeding time constraints. The arrival smoothing of the upstream batch workstation and its effect on the downstream workstation is also analysed. The results show that arrival smoothing can effectively decrease the waiting time on the downstream serial workstation through increasing the upstream number of batch machines and decreasing the batch size. The results also conclude that increasing the number of downstream serial machines is not the only option under the batch-serial process in a time constraint environment. Therefore, an investment function of batch-serial process equipment with time constraints is established in this work that can support managers when making investment decisions.     

Estimating manufacturing cycle time and throughput in flow shops with process drift and inspection

Process drift is a common occurrence in many manufacturing processes where machines become dirty (leading to more contamination) or processing parameters degrade, negatively affecting system performance. Statistical process control tracks process quality to determine when the process has gone out of control (has drifted beyond its specifications). This paper considers the case where parts examined at a downstream inspection station are used to determine when the upstream process is out of control. The manufacturing cycle time from the out of control process to the downstream inspection process influences the detection time that elapses until the out of control process is noticed and repaired. Because an out of control process produces more bad parts, the detection time affects the number of good parts produced and the throughput of the manufacturing system. This situation is common in many industries but no models of the phenomena exist. This paper presents a novel manufacturing system model based on queueing network approximations for estimating the manufacturing cycle time and throughput of such systems. These are important performance measures since they influence economic measures such as inventory costs and revenue. The model can be used for a variety of system design and analysis tasks. In particular, the model can be used to evaluate the placement of inspection stations in a process flow.     

A holistic view of knowledge integration in collaborative supply chains

New product development (NPD) projects offer a unique opportunity to examine knowledge integration themes in a collaborative network. We propose a finer grained view of knowledge integration mechanisms in collaborative supply chains. Specifically, we propose two different types of mechanisms that are in play within a collaborative supply chain; short-term knowledge sharing and iterative knowledge enrichment. Using data from a large and diverse set of 432 NPD projects, we investigate the effects of knowledge sharing and enrichment between firms and their collaborative network partners, on product concept effectiveness and process performance. Our findings suggest that knowledge sharing and enrichment are significant mechanisms for enterprise-wide knowledge integration in collaborative networks. In addition, upstream knowledge sharing and enrichment has a significant influence on both product concept effectiveness and manufacturing process performance, over and above the effects of downstream knowledge sharing and enrichment. The relationship of upstream and downstream knowledge sharing and enrichment on product concept effectiveness and process performance had varying effects based on the contexts of product type, stage in the product life cycle and project size, indicating a context-specific influence of knowledge strategies. The implication of our results on academic theory and managerial practice is offered.     

Abgasmanagement von Vakuumprozessen moderner Halbleiter‐Produktionsanlagen

Depositions in the downstream area of modern semiconductor vacuum tools significantly reduce productivity. On one hand uptime of production tools is limited by frequent maintenance, on the other hand an increased number of harmful particles in the sub‐µm range reduces the yield of chip production. Furthermore, toxic and flammable gases could be trapped in the depositions and cause, if exposed to atmospheric air, serious safety problems for the production staff. Only individual process solutions for the downstream area can reduce or even completely eliminate these problems.     

Renewal approximations for the departure processes of batch systems

In this paper we consider three standard batch arrival/service systems and develop renewal process approximations for the inter-departure time squared coefficient of variations. The systems considered are: (i) batch arrival with individual service; (ii) batching for setup reduction for a single server system; and (iii) batch processing. The random version of the batch arrival with individual service case naturally results from random branching of individuals following a batch service process. This case is also developed with the intent of improving the modeling results for downstream workstations following a batch service process.     

工业氧化钼实用生产技术及进展

本文扼要介绍了工业氧化钼实用生产技术和主要设备梗概,认为钼精矿诸焙烧工艺各存利弊,钼精矿焙烧工艺方案的制定及设计应与业主拥有的矿产资源、拟定的产品方案及生产规模、产品下游工艺的技术要求、环境保护政策和节能降耗等因素综合考虑。随着湿法工艺运行成本的降低和设备的安全性提高,氧压氧化法生产工业氧化钼的工艺将会在我国得到工业应用。