粉体法再造翡翠工艺过程研究

利用天然缅甸翡翠边角料及杂质较多低档翡翠进行粉体法翡翠再造,对影响翡翠色泽、硬度、致密度等因素进行了研究.结果表明:通过磁选的方法可去除内部翡翠影响透明度的弱磁性的闪石和含铁矿物,含铬硬玉中Cr3+在热扩散过程中使颜色分布均一,无铅硼酸盐玻璃的添加使SPS烧结能达到理论致密度的96％,红外光谱在1071cm-1处[BO4]的伸缩振动区别于天然翡翠,X射线分析表明存在部分物相转变.     

流程工业在制品库存的分段控制方法

从分析流程工业生产特点和ERP系统的在制品库存管理方法着手,结合准时生产制(JIT)和大规模定制思想,从稳定生产过程的角度探讨流程工业在制品库存控制的改善和优化问题.提出采用计划下达点和定制点作为过程分离点和关键控制点来对整个生产过程进行分段控制的两点控制方法,从而简化了控制过程,在很大程度上克服了流程工业难以精确控制的矛盾,使生产过程更顺畅,在制品库存量更合理.     

Monitoring Process Variability for Stationary Process Data

Processes that arise naturally, for example, from manufacturing or the environment, often exhibit complicated autocorrelation structures. When monitoring such a process for changes in variance, accounting for that structure is critical. While charts for monitoring the variance of processes of independent observations and some specific autocorrelated processes have been proposed in the past, the chart presented in this article can handle a general stationary process. The performance of the proposed chart was examined through simulations for the first‐order autoregressive and first‐order autoregressive‐moving average processes and demonstrated with examples. Copyright © 2014 John Wiley & Sons, Ltd.     

Improving Process Capability of Manufacturing Process by Application of Statistical Techniques

This article describes the application of statistical techniques in solving a problem of high rejection and rework due to variation in the machining process. The rejections in the shop floor of a company were studied through Pareto analysis for prioritizing the problems due to different sources. The grinding process was found to be the most contributing among all the processes towards rejection and rework. The process capability of this grinding process was evaluated and found to be very low. A step by step method was adopted by the application of several statistical techniques such as design of experiments for solving this problem. As a result of the study, the process capability has improved drastically. This has lead to reduction in the problems due to high rejection and rework in shop floor.     

基于流程驱动的业务重组研究

运营模式分析、业务流程改进和信息系统实现是流程驱动型变革的三个主要环节.基本的运营模式分析涉及分析与供应商的关系、分析与客户的关系、分析企业内部业务运作方式及分析企业的资金和成本管控方式.业务流程改进是在运营模式分析的基础上,以流程再造为核心,同时配套进行组织职责调整、管理制度改进、关键绩效指标设置及信息化需求分析,并最终以对已有信息系统的改造或建立新的信息系统来保证新流程的落地实现.     

CAPP系统中的工艺资源库定制工具

构造了工艺设计资源数据库的定制方法,开发了工艺资源库定制工具,对工艺资源库定制工具数据模型的设计、建立以及具体的实现方法进行了论述。     

Statistical Process Control and The Impact of Automatic Process Control

This paper describes the present status of statistical process control from the viewpoint of the statistician. It summarizes twenty papers dating from early 1930 to the present. It indicates the relationship between the traditional concepts in quality control and the new concept of adaptive control.     

基于工序成本的多元过程能力指数分析

单一的多元过程能力指数在反映企业制造多元质量特性产品能力时存在缺陷,无法反映由于各工序成本的差异而造成的工序能力重要性的差别.基于此,从企业工序质量控制和工序成本关系的角度来分析,构建了基于工序成本修正的多元过程能力指数,反映企业的成本控制能力和产品竞争能力.最后,通过修正得到的多元过程能力指数,一方面优选企业的质量改进或控制方案,另一方面判定企业在同类产品制造中的实际质量控制能力和过程成本损失差异.     

Process Qualification

This paper offers a practical approach to process qualification based on estimating the impact on the fraction nonconforming and the sensitivity of the nonconformance rate to changes in the mean or standard deviation of the process. The methodology makes certain assumptions regarding the magnitude of the changes that might be expected in the process parameters and then computes the effect that these changes might be expected to have on the nonconformance probability and its variability. If the impact is within acceptable limits, then the process is considered robust enough to be released to production.     

焊接工艺碳足迹分析及其工艺参数优化

以提高焊接工艺过程中资源和能源利用效率,减少碳排放为目的,从物料、能源、废弃物3个维度,对焊接加工过程碳排放机理加以分析.根据焊接及数学理论建立了焊接过程的碳排放特性函数.对回流焊接设备影响碳排放的因子进行分析,建立遗传算法优化模型,并找出了最优解.     

Effect of Process Parameters on Porosity in Aluminum Lost Foam Process

1.IntroductionLost foam casting process is still a new technology,and is gaining confidence among manufacturers[1].It isexpected to dramatically improve the competitiveness ofthe foundry industry.Many advantages like eliminatingmachining steps,making complex casting without coresand reducing environmental loads can be offered by thisprocess,because molding binder is not added into themold of the lost foam process.Aluminum alloy castings are widely used in the auto-mobile and aerospace industri…     

浇注系统对消失模铸造充型过程的影响

采用数值模拟技术，研究了金属流充型过程，结果表明，干砂消失模铸造中，浇注系统性质显著影响金属液的充型过程。     

Key Process Protection of High Dimensional Process Data in Complex Production

In order to solve the problem of locating and protecting key processes and detecting outliers efficiently in complex industrial processes. An anomaly detection system which is based on the two-layer model fusion frame is designed in this paper. The key process is located by using the random forest model firstly, then the process data feature selection, dimension reduction and noise reduction are processed. Finally, the validity of the model is verified by simulation experiments. It is shown that this method can effectively reduce the prediction accuracy variance and improve the generalization ability of the traditional anomaly detection model from the experimental results.     

回转水纺丝工艺研究与应用

回转水纺丝工艺可以把熔融金属直接纺成圆截面的细丝,具有许多传统拉丝工艺所不具备的优点.对纺丝过程中射流运动和凝固的相关工艺问题进行了总结,并对其研究与应用现状进行了评述.     

凸缘的翻孔镦粗过程研究

目的研究不变薄凸缘的翻孔件的翻孔镦粗成形过程。方法采用有限元模拟软件ABAQUS,对不变薄凸缘的翻孔件的翻孔镦粗过程建立了平面二维对称的有限元模型,并进行了有限元计算分析;完成了模具设计,并在1000 kN的伺服压力机上进行了实验。结果当凹模圆角为1.2 mm,凸凹模间隙在0.80~0.86之间时,单次镦粗可以获得与初始坯料厚度一致的凸缘。结论凹模圆角大小及凸凹模间隙大小对不变薄凸缘翻孔凸缘质量有着重要的影响,并最终影响凸缘的镦粗过程。     

Process Control and Optimization of the AOD Process Using Genetic Algorithm

The AOD process of making stainless steel is very popular because of its fast rate of decarburization and excellent control of composition and temperature. Both static and dynamic models are available for process control. The objective of the present study is to demonstrate the applicability of GA in adapting a process control model to a particular plant environment and subsequently optimize the blowing scheme to reduce overall costs. Deviation of the predicted results of the process control model, from the actual plant data, is first minimized by adjusting the chemical reaction rate parameters and heat balance equation. It is found that the adaptation of the process control model to an actual situation is feasible only below 0.8% carbon. After adapting the model, optimization is done through GA wherein the objective function contains the cost of refractory, process time, chromium loss etc. It is thus possible to devise a blowing scheme to arrive at the desired end point composition and temperature at the lowest cost.